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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
<issn pub-type="epub">1664-1078</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2023.1202953</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The Ten-Item Personality Inventory (TIPI): a scoping review of versions, translations and psychometric properties</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Th&#x00F8;rrisen</surname>
<given-names>Mikkel M.</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1297716/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sadeghi</surname>
<given-names>Talieh</given-names>
</name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2344819/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, OsloMet &#x2013; Oslo Metropolitan University</institution>, <addr-line>Oslo</addr-line>, <country>Norway</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Public Health, Faculty of Health Sciences, University of Stavanger</institution>, <addr-line>Stavanger</addr-line>, <country>Norway</country></aff>
<aff id="aff3"><sup>3</sup><institution>Work Research Institute, Centre for Welfare and Labour Research, OsloMet &#x2013; Oslo Metropolitan University</institution>, <addr-line>Oslo</addr-line>, <country>Norway</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by">
<p>Edited by: Hamidreza Namazi, Monash University Malaysia, Malaysia</p>
</fn>
<fn id="fn0002" fn-type="edited-by">
<p>Reviewed by: Andrei Corneliu Holman, Alexandru Ioan Cuza University, Romania; Reza Afhami, Tarbiat Modares University, Iran</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Mikkel M. Th&#x00F8;rrisen, <email>mithor@oslomet.no</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>06</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1202953</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>04</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>06</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Th&#x00F8;rrisen and Sadeghi.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Th&#x00F8;rrisen and Sadeghi</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>The Ten-Item Personality Inventory (TIPI) is a brief instrument designed to assess the five-factor model (FFM) personality dimensions. It was specifically developed to provide a brief assessment option in situations where using more comprehensive FFM instruments would be unfeasible. The TIPI enjoys widespread use and has been translated into several different languages.</p>
</sec>
<sec>
<title>Objective</title>
<p>The aim of this scoping review was to generate an overview of different versions of the TIPI, and their psychometric properties in terms of two aspects of validity (convergent and structural) and two aspects of reliability (internal consistency and test&#x2013;retest reliability).</p>
</sec>
<sec>
<title>Methods</title>
<p>Four databases (PsycINFO, PubPsych, Medline, and Web of Science) were searched for studies exploring psychometric properties of the TIPI (original and/or translated or revised versions), published in English as full-text original research articles. Additionally, manual searches were conducted on the official TIPI website and in reference lists. Studies who utilized the TIPI simply as a measure, without an aim of testing its psychometric properties, were excluded. A descriptive-analytical approach was utilized to generate overviews of available TIPI versions and their psychometric properties.</p>
</sec>
<sec>
<title>Results</title>
<p>In a total of 29 studies, 27 versions of the TIPI were identified, covering 18 different languages. Across versions, and evaluated against conventions of acceptable psychometric properties, the TIPI demonstrated acceptable test&#x2013;retest reliability, somewhat mixed results for convergent and structural validity, and inappropriate internal consistency.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Being a brief instrument, the TIPI is unsurprisingly characterized by certain psychometric shortcomings. However, the TIPI may represent a feasible compromise in instances where it is necessary to strike a balance between maximizing psychometric properties and minimizing survey length.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Big Five</kwd>
<kwd>convergent validity</kwd>
<kwd>internal consistency</kwd>
<kwd>personality assessment</kwd>
<kwd>psychometric properties</kwd>
<kwd>structural validity</kwd>
<kwd>ten-item personality inventory</kwd>
<kwd>test&#x2013;retest reliability</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="9"/>
<equation-count count="0"/>
<ref-count count="77"/>
<page-count count="16"/>
<word-count count="11825"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Quantitative Psychology and Measurement</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="sec6" sec-type="intro">
<title>1. Introduction</title>
<p>Personality refers to &#x201C;psychological qualities that contribute to an individual&#x2019;s enduring and distinctive pattern of feeling, thinking, and behaving&#x201D; (<xref ref-type="bibr" rid="ref11">Cervone and Pervin, 2013</xref>, p. 8), and thus to &#x201C;individual differences, or the dimensions along which people differ from each other&#x201D; (<xref ref-type="bibr" rid="ref8">Barenbaum and Winter, 2008</xref>, p. 7). The first psychological literature review of personality emerged in 1921 (<xref ref-type="bibr" rid="ref3">Allport, 1921</xref>), and personality has since been a fundamental concept in psychology. Research has demonstrated that personality traits predict a variety of outcomes, such as health, longevity (<xref ref-type="bibr" rid="ref55">Ozer and Benet-Martinez, 2006</xref>; <xref ref-type="bibr" rid="ref62">Roberts et al., 2007</xref>), job performance and satisfaction (<xref ref-type="bibr" rid="ref33">Judge and Bono, 2001</xref>), consumption of psychoactive substances (<xref ref-type="bibr" rid="ref56">Paunonen and Ashton, 2001</xref>), political participation (<xref ref-type="bibr" rid="ref46">Mondak and Halperin, 2008</xref>), economic and social policy attitudes (<xref ref-type="bibr" rid="ref25">Gerber et al., 2010</xref>), wage and occupational self-efficacy (<xref ref-type="bibr" rid="ref65">Sadeghi et al., 2022</xref>), and traffic behavior (<xref ref-type="bibr" rid="ref75">Ulleberg and Rundmo, 2003</xref>). Personality is characterized by a cross-disciplinary applicability, by not solely being of interest within psychology, but in all research areas that on some level deal with human factors (<xref ref-type="bibr" rid="ref62">Roberts et al., 2007</xref>), such as sociology, education and business. In research studies, personality traits may be utilized as predictors or outcomes (the study variables of primary interest), as mediators or moderators, or simply as important control variables when studying relationships between other constructs.</p>
<p>The five-factor model (FFM) of personality, also known as the Big Five personality model, is the leading framework for understanding individual differences (<xref ref-type="bibr" rid="ref40">McCrae and Costa, 2008</xref>; <xref ref-type="bibr" rid="ref70">Sprecht et al., 2014</xref>). According to the FFM, personality is composed of five broad domains: extraversion (E, being sociable and active), agreeableness (A, being soft-hearted and trusting), conscientiousness (C, being organized and reliable), emotional stability (ES<xref rid="fn0003" ref-type="fn"><sup>1</sup></xref>, being calm and relaxed), and openness (O, being curious and creative) (<xref ref-type="bibr" rid="ref17">Costa and McCrae, 1992</xref>). The FFM has been shown to be quite consistent across cultures (<xref ref-type="bibr" rid="ref41">McCrae et al., 1998</xref>).</p>
<p>Several instruments have been developed to measure the five domains of the FFM, of which the 240-item NEO Personality Inventory-Revised (NEO-PI-R, <xref ref-type="bibr" rid="ref17">Costa and McCrae, 1992</xref>), the 60-item NEO Five-Factor Inventory (NEO-FFI, <xref ref-type="bibr" rid="ref17">Costa and McCrae, 1992</xref>), and the 44-item Big Five Inventory (BFI, <xref ref-type="bibr" rid="ref32">John and Srivastava, 1999</xref>) are the most prominent. Due to their number of items, these FFM instruments are impractical to administer in studies that do not aim to answer research questions primarily related to personality (<xref ref-type="bibr" rid="ref20">DeBell et al., 2022</xref>). The most extensive tool (the NEO-PI-R) takes about 45&#x2009;min to complete (<xref ref-type="bibr" rid="ref27">Gosling et al., 2003</xref>). Even the NEO-FFI and the BFI, which take 15 and 5&#x2009;min to complete, respectively (<xref ref-type="bibr" rid="ref32">John and Srivastava, 1999</xref>), may be too comprehensive in many instances. Long surveys may reduce participation rates (<xref ref-type="bibr" rid="ref63">Rolstad et al., 2011</xref>), due to respondents being bored or fatigued (<xref ref-type="bibr" rid="ref18">Cred&#x00E9; et al., 2012</xref>), which may result in data quality decrements. This represents a particular concern for longitudinal studies that require repeated measurements (<xref ref-type="bibr" rid="ref28">Herzberg and Br&#x00E4;hler, 2006</xref>).</p>
<p>The need for brief FFM instruments is evident, particularly in instances when researchers want to study personality as just one out of several other constructs, or utilize personality traits as control variables. In 2003, Samuel Gosling and coworkers introduced the Ten-Item Personality Inventory (TIPI) as a brief instrument to assess the FFM personality dimensions (<xref ref-type="bibr" rid="ref27">Gosling et al., 2003</xref>). The TIPI consists of 10 items, with five two-item subscales that correspond to the FFM dimensions. The initial evaluation of the TIPI (<xref ref-type="bibr" rid="ref27">Gosling et al., 2003</xref>) found that it was an appropriate alternative to more extensive FFM instruments, with acceptable validity, reliability, and external correlations. For several reasons, the TIPI stands out as appealing to researchers: It is freely available (<xref ref-type="bibr" rid="ref71">Storme et al., 2016</xref>), and it takes approximately just 1 min to complete (<xref ref-type="bibr" rid="ref51">Nunes et al., 2018</xref>), thereby extending the scope of studies in which FFM personality dimensions can be taken into account (<xref ref-type="bibr" rid="ref27">Gosling et al., 2003</xref>). The evident appeal of the TIPI is reflected in its widespread use, as the initial validation article (<xref ref-type="bibr" rid="ref27">Gosling et al., 2003</xref>) has been cited more than 9,500 times in the research literature. Moreover, according to the official TIPI website (<xref ref-type="bibr" rid="ref26">Gosling, n.d.</xref>), the original instrument has been translated into at least 26 different languages for worldwide utilization.</p>
<p>However, as noted by <xref ref-type="bibr" rid="ref22">Ehrhart et al. (2009)</xref>, the interest in utilizing the TIPI quickly outpaced the efforts spent on investigating the instrument&#x2019;s psychometric properties. Psychometric properties refer to the degree of validity and reliability associated with a measurement instrument (<xref ref-type="bibr" rid="ref5">Asunta et al., 2019</xref>). Validity represents the degree to which an instrument measures the construct(s) it purports to measure (<xref ref-type="bibr" rid="ref45">Mokkink et al., 2010</xref>, p. 743). Structural and convergent validity, both elements of construct validity, are of particular importance. Scores on the instrument should represent an adequate reflection of the dimensionality of the construct to be measured (structural validity), and scores on the instrument should correlate with scores on other instruments designed to measure the same construct (convergent validity) (<xref ref-type="bibr" rid="ref19">Cunningham et al., 2001</xref>; <xref ref-type="bibr" rid="ref45">Mokkink et al., 2010</xref>). The concept of reliability captures the extent to which an instrument is free from measurement error, which is often expressed in terms of the degree of interrelatedness of the items (internal consistency) and the instrument&#x2019;s ability to generate similar results when repeatedly administered to the same respondents under the same conditions (test&#x2013;retest reliability) (<xref ref-type="bibr" rid="ref45">Mokkink et al., 2010</xref>; <xref ref-type="bibr" rid="ref50">Noble et al., 2021</xref>).</p>
<p>Testing of psychometric properties such as internal consistency and structural validity rests on an assumption of the measure being reflective rather than formative. Reflective measures presume that the test items are caused by a common latent variable, while formative measures postulate that the construct being measured represents a function of the items, rather than the other way around (<xref ref-type="bibr" rid="ref38">Markus and Borsboom, 2013</xref>). For instance, in the case of the E subscale in the TIPI, one could argue that being sociable and active are behaviors caused by high levels of extraversion (reflective approach), or alternatively that high extraversion is a function of being sociable and active (formative approach). Being developed on the basis of reflective techniques (such as factor analysis), the FFM is generally measured by means of reflective approaches (<xref ref-type="bibr" rid="ref42">McCrae and John, 1992</xref>).</p>
<p>Comprehensive instruments tend to have better psychometric properties than shorter instruments (<xref ref-type="bibr" rid="ref27">Gosling et al., 2003</xref>). For instance, short scales generally suffer from not being able to suppress random error through aggregation of items (<xref ref-type="bibr" rid="ref28">Herzberg and Br&#x00E4;hler, 2006</xref>), and from being characterized by content deficiencies (<xref ref-type="bibr" rid="ref69">Smith et al., 2000</xref>). However, some studies indicate that psychometric shortcomings associated with brief instruments may not be severe enough to discourage the use of short scales in research altogether (<xref ref-type="bibr" rid="ref18">Cred&#x00E9; et al., 2012</xref>). In practice, researchers have to make a trade-off and strike an appropriate balance between maximizing psychometric properties on the one hand, and minimizing administration time and survey length on the other (<xref ref-type="bibr" rid="ref24">Furnham, 2008</xref>). As noted by <xref ref-type="bibr" rid="ref27">Gosling et al. (2003</xref>, p. 505), &#x201C;researchers may be faced with a stark choice of using an extremely brief instrument or using no instrument at all.&#x201D;</p>
<p>Authors have emphasized the need for further attention to psychometric properties of the TIPI (<xref ref-type="bibr" rid="ref22">Ehrhart et al., 2009</xref>), and for secondary research efforts to provide an overview of different versions of the TIPI and their psychometric properties (<xref ref-type="bibr" rid="ref73">Th&#x00F8;rrisen et al., 2021</xref>). The aim of the current scoping review was to generate an overview of different versions of the TIPI, and their psychometric properties in terms of two aspects of validity (convergent and structural) and two aspects of reliability (internal consistency and test&#x2013;retest reliability).</p>
</sec>
<sec id="sec7" sec-type="materials|methods">
<title>2. Materials and methods</title>
<sec id="sec8">
<title>2.1. Design and protocol</title>
<p>The study was designed as a scoping review, following the methodology first established by <xref ref-type="bibr" rid="ref4">Arksey and O'Malley (2005)</xref>, and further developed by others (<xref ref-type="bibr" rid="ref36">Levac et al., 2010</xref>; <xref ref-type="bibr" rid="ref16">Colquhoun et al., 2014</xref>; <xref ref-type="bibr" rid="ref58">Peters et al., 2020</xref>). The review was pre-registered in the Open Science Framework (OSF) database (<xref ref-type="bibr" rid="ref72">Th&#x00F8;rrisen and Sadeghi, 2023</xref>), and reported in accordance with the PRISMA extension for scoping reviews (PRISMA-ScR) (<xref ref-type="bibr" rid="ref74">Tricco et al., 2018</xref>).</p>
</sec>
<sec id="sec9">
<title>2.2. Eligibility criteria</title>
<p>For inclusion in this scoping review, studies had to satisfy three criteria. First, studies had to explore psychometric properties of the TIPI (original and/or translated or revised version) as a study aim. Selection of relevant psychometric properties for this review was inspired by the COSMIN taxonomy of relationships of measurement properties (<xref ref-type="bibr" rid="ref45">Mokkink et al., 2010</xref>), and included two aspects of validity (structural and convergent) and two aspects of reliability (internal consistency and test&#x2013;retest reliability). A test of convergent validity was defined as a correlation between the TIPI subscales (original, revised or translated version) with subscales from NEO-PI-R, NEO-FFI and/or BFI. These instruments were chosen as a result of being the most prominent and most commonly used to measure the FFM dimensions. Studies who utilized the TIPI simply as a measure (predictor, outcome or covariate) without an aim of exploring psychometric properties were excluded. Second, studies had to be published as full-text original peer-reviewed research articles. Third, studies had to be published in English. No time restrictions were imposed.</p>
</sec>
<sec id="sec10">
<title>2.3. Literature search</title>
<p>The superordinate search strategy for this scoping review comprised three parts: (i) systematic searches in four international scientific databases, (ii) manual searches on the TIPI website, and (iii) manual searches in reference lists of all included studies. Searches were initially conducted in February 2023.</p>
<sec id="sec11">
<title>2.3.1. Database searches</title>
<p>The database search strategy focused on two search blocks, one denoting the instrument itself, and one capturing relevant psychometric properties. The primary database search strategy is presented in <xref rid="tab1" ref-type="table">Table 1</xref>.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Database search strategy (PsycINFO).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2">Concept</th>
<th align="left" valign="top">Search terms</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Concept 1</td>
<td align="left" valign="top">The instrument (the Ten-Item Personality Inventory)</td>
<td align="left" valign="top">&#x201C;ten-item personality inventory.&#x201D;tw OR &#x201C;ten item personality inventory.&#x201D;tw OR tipi.tw OR &#x201C;10-item personality inventory.&#x201D;tw OR &#x201C;10 item personality invenfory.&#x201D;tw OR &#x201C;10-item measure of the big-five dimensions.&#x201D;tw</td>
</tr>
<tr>
<td/>
<td/>
<td align="left" valign="top">AND</td>
</tr>
<tr>
<td align="left" valign="top">Concept 2</td>
<td align="left" valign="top">Psychometric properties</td>
<td align="left" valign="top">Psychometrics[sh] OR measurement[sh] OR cross cultural validity[sh] OR factorial validity[sh] OR content validity[sh] OR discriminant validity[sh] OR construct validity[sh] OR test validity[sh] OR convergent validity[sh] OR face validity[sh] OR statistical validity[sh] OR criterion validity[sh] OR predictive validity[sh] OR split-half reliability[sh] OR test&#x2013;retest reliability[sh] OR interrater reliability[sh] OR test reliability[sh] OR statistical reliability[sh] OR internal consistency[sh] OR factor analysis[sh] OR principal component analysis[sh] OR psychometric&#x002A;.tw OR measurement&#x002A;.tw OR develop&#x002A;.tw OR valid&#x002A;.tw OR reliab&#x002A;.tw OR &#x201C;internal consistency.&#x201D;tw OR &#x201C;test&#x2013;retest.&#x201D;tw OR &#x201C;test retest.&#x201D;tw OR &#x201C;factor analys&#x002A;.&#x201D;tw OR factorial.tw OR &#x201C;principal component&#x002A;.&#x201D;tw OR pca.tw OR adapt&#x002A;.tw OR translat&#x002A;.tw</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>.tw, text search on title/abstract level; [sh], search based on subject heading (APA thesaurus of psychological index terms); searches were also conducted in three other databases (PubPsych, Medline, Web of Science), with necessary adjustments for each database.</p>
</table-wrap-foot>
</table-wrap>
<p>As shown in <xref rid="tab1" ref-type="table">Table 1</xref>, the database search strategy comprised a total of 45 searches, of which 21 were text searches on an abstract/title level, 21 were searches on subject headings (APA thesaurus of psychological index terms), and the remaining 3 were combinations of search blocks utilizing Boolean operators (OR; AND). Searches were performed in four scientific databases. PsycINFO and PubPsych were defined as the primary databases. In order to reflect the cross-disciplinary applicability of personality research, searches were also conducted in databases emphasizing health science research (Medline) and social science research (Web of Science). Where necessary, the search strategy was adjusted to fit each database.</p>
</sec>
<sec id="sec12">
<title>2.3.2. Manual searches</title>
<p>The TIPI website (<xref ref-type="bibr" rid="ref26">Gosling, n.d.</xref>) is developed and maintained by Samuel Gosling, the developer of the TIPI. Although not completely updated, the website contains general information about the instrument, an overview of translated versions, and links to studies that have explored psychometric properties of different versions. The TIPI website was searched manually for potentially relevant studies not identified in database searches. Additionally, reference lists in included studies were searched manually for potentially relevant studies not identified in database searches or searches on the TIPI website.</p>
</sec>
</sec>
<sec id="sec13">
<title>2.4. Study selection</title>
<p>First, results from database searches were exported from databases to EndNote version 20 (<xref ref-type="bibr" rid="ref14">Clarivate Analytics, 2020</xref>). Duplicates were removed and the unique records (titles and abstracts) were transferred to Rayyan, a web-based software platform for literature reviews (<xref ref-type="bibr" rid="ref60">Qatar Computing Research Institute, 2021</xref>). Unique records were screened for relevance in Rayyan on a title/abstract level. Studies deemed potentially relevant (based on the title/abstract screening) were retrieved in full-text format for further inspection. Primary reason for exclusion was registered for studies excluded in the full-text examination stage. The full-text examination was documented in Excel 365 (<xref ref-type="bibr" rid="ref44">Microsoft Corporation, 2021</xref>). Study selection based on database search results was performed independently by the two authors. Initial disagreements were resolved through discussion, and consensus was reached.</p>
<p>Second, studies listed on the TIPI website were inspected manually. Potentially relevant studies, that were not already identified through database searches, were assessed for eligibility. A two-step process was utilized: screening on a title/abstract level, followed by a full-text examination. Third, reference lists in all included studies (from databases and the website) were screened for relevance based on titles. Potentially relevant titles, not already identified through databases and the website, were screened on an abstract level. Titles not excluded in the screening stage, were retrieved and inspected in full-text format.</p>
</sec>
<sec id="sec14">
<title>2.5. Data charting and data items</title>
<p>Two types of information were extracted from the included studies: (i) data on study and inventory characteristics (title, author(s), year of publication, sample characteristics and size, TIPI version) and (ii) data and results on psychometric properties (convergent validity, structural validity, internal consistency, and test&#x2013;retest reliability). Extracted data were entered into a data extraction form for further analysis, generated in Excel 365 (<xref ref-type="bibr" rid="ref44">Microsoft Corporation, 2021</xref>). Data extraction was conducted by the first author, and a random selection of 8 studies (approximately 25% of the studies) was cross-checked by the second author.</p>
</sec>
<sec id="sec15">
<title>2.6. Synthesis of results</title>
<p>Data analysis was conducted in accordance with a descriptive-analytical procedure recommended for scoping reviews (<xref ref-type="bibr" rid="ref4">Arksey and O'Malley, 2005</xref>; <xref ref-type="bibr" rid="ref36">Levac et al., 2010</xref>). First, a descriptive overview of different versions of the TIPI (and studies that have explored their psychometric properties) was constructed. Each version was ascribed an ID consisting of a three-letter code based on the ISO 639-2 language code system (<xref ref-type="bibr" rid="ref37">Library of Congress, 2010</xref>). In instances of several versions in the same language, each version was also provided with a number (e.g., ENG-1 and ENG-2, indicating two different versions in English).</p>
<p>Second, an overview of which psychometric properties have been tested for each version of the TIPI was generated. In order to illustrate the extent to which each version has been subjected to psychometric inspection, a simple scoring system was developed. For each study testing a particular version, the TIPI version was given a score 1&#x2013;4, corresponding to the number of psychometric domains tested. For instance, a version was given a score of 2 if it was tested on two domains in one study (e.g., internal consistency and structural validity). If a version was tested on two domains in one study, on three domains in another, and on one domain in a third study, the overall ascribed score for the version would be 2&#x2009;+&#x2009;3&#x2009;+&#x2009;1&#x2009;=&#x2009;6.</p>
<p>Third, results of psychometric tests reported in the included studies were synthesized. <italic>Convergent validity</italic> of the TIPI versions was presented by means of reported convergence (correlations) with subscales in three other validated FFM instruments (NEO-PI-R, NEO-FFI, and BFI). Additionally, mean estimates for convergence across all five dimensions were calculated, separately for each TIPI version and for all versions taken together. Acceptable convergent validity was <italic>a priori</italic> defined as <italic>r</italic>&#x2009;&#x2265;&#x2009;0.50 (<xref ref-type="bibr" rid="ref15">Cohen, 1988</xref>; <xref ref-type="bibr" rid="ref1">Abma et al., 2016</xref>). Regarding <italic>structural validity</italic>, each TIPI version was classified based on the extent to which it has demonstrated a five-factor structure theoretically in accordance with the FFM (&#x201C;yes,&#x201D; &#x201C;no&#x201D; or &#x201C;partly&#x201D;). A &#x201C;partly&#x201D; satisfactory structure was defined as identifying an acceptable five-factor structure after making certain statistical adjustments. <italic>Internal consistency</italic> of the TIPI versions was reported in terms of Cronbach&#x2019;s alphas (&#x03B1;), inter-item correlations (<italic>r</italic>) and/or Spearman-Brown coefficients (S-B). Mean estimates for each version, for each subscale across versions, and for all five subscales across versions were calculated based on subscale values reported in the included studies. Acceptable internal consistency was defined as &#x03B1;&#x2009;&#x2265; 0.70 (<xref ref-type="bibr" rid="ref52">Nunnally, 1978</xref>), <italic>r</italic>&#x2009;&#x2265;&#x2009;0.50 (<xref ref-type="bibr" rid="ref15">Cohen, 1988</xref>) or S-B&#x2009;&#x2265;&#x2009;0.70 (<xref ref-type="bibr" rid="ref66">Salkind, 2010</xref>). <italic>Test&#x2013;retest reliability</italic> of the TIPI versions was presented in terms of test&#x2013;retest correlations reported for each subscale in the included studies. Mean estimates for temporal stability across all five dimensions were calculated, separately for each TIPI version, and for all versions taken together. Acceptable test&#x2013;retest reliability was defined as <italic>r</italic>&#x2009;&#x2265;&#x2009;0.50 (<xref ref-type="bibr" rid="ref15">Cohen, 1988</xref>) or intraclass correlation (ICC) &#x2265;0.60 (<xref ref-type="bibr" rid="ref13">Cicchetti, 1994</xref>).</p>
<p>Finally, a summative evaluation of psychometric properties associated with each of the identified TIPI versions was generated.</p>
</sec>
</sec>
<sec id="sec16" sec-type="results">
<title>3. Results</title>
<p>Database searches identified 581 studies (PsycINFO: <italic>n</italic>&#x2009;=&#x2009;116; PubPsych: <italic>n</italic>&#x2009;=&#x2009;167; Medline: <italic>n</italic>&#x2009;=&#x2009;134; Web of Science: <italic>n</italic>&#x2009;=&#x2009;164). Of these, 164 duplicates were removed and 417 unique studies were screened on a title/abstract level. A total of 385 studies were excluded due to not fulfilling the eligibility criteria, and the remaining 32 studies were subjected to full-text examination. At this stage, another 11 studies were excluded as a result of not having exploration of psychometric properties of the TIPI as a study aim (<italic>n</italic>&#x2009;=&#x2009;7), due to not being published in English (<italic>n</italic>&#x2009;=&#x2009;3), or not being published as a peer-reviewed research article (<italic>n</italic>&#x2009;=&#x2009;1). Hence, 21 studies from database searches were included in the scoping review. Manual searches on the TIPI website and in reference lists resulted in an additional eight studies being included (website: <italic>n</italic>&#x2009;=&#x2009;3; reference lists: <italic>n</italic>&#x2009;=&#x2009;5). In total, 29 studies were included in the scoping review. The study selection process is illustrated in <xref rid="fig1" ref-type="fig">Figure 1</xref>.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Flow chart depicting the study selection process.</p>
</caption>
<graphic xlink:href="fpsyg-14-1202953-g001.tif"/>
</fig>
<p>The 29 included studies were based on a total of 27,427 participants from 20 countries (Bangladesh, Brazil, China, Croatia, France, Georgia, Germany, Indonesia, Iran, Italy, Japan, Netherlands, Norway, Poland, Portugal, South Africa, Spain, Turkey, the United Kingdom, and the United States), published from 2003 (<xref ref-type="bibr" rid="ref27">Gosling et al., 2003</xref>) to 2022 (<xref ref-type="bibr" rid="ref20">DeBell et al., 2022</xref>; <xref ref-type="bibr" rid="ref68">Shi et al., 2022</xref>). Sample sizes ranged from <italic>N</italic>&#x2009;=&#x2009;100 (<xref ref-type="bibr" rid="ref24">Furnham, 2008</xref>) to <italic>N</italic>&#x2009;=&#x2009;5,009 (<xref ref-type="bibr" rid="ref73">Th&#x00F8;rrisen et al., 2021</xref>). Characteristics of the included studies are presented in <xref rid="tab2" ref-type="table">Table 2</xref>.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Characteristics of the included studies (<italic>N</italic>&#x2009;=&#x2009;29).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Author(s) (year)</th>
<th align="left" valign="top">Country</th>
<th align="left" valign="top">Sample size</th>
<th align="left" valign="top">Sample characteristics</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref2">Akhtar (2018)</xref>
</td>
<td align="left" valign="top">Indonesia</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;501</td>
<td align="left" valign="top">High school/university students; 68.1% females; age 15&#x2013;40&#x2009;years (<italic>M</italic>&#x2009;=&#x2009;19.2)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref6">Atak (2013)</xref>
</td>
<td align="left" valign="top">Turkey</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;420</td>
<td align="left" valign="top">University students (age <italic>M</italic>&#x2009;=&#x2009;23.2&#x2009;years) and non-students (age <italic>M</italic>&#x2009;=&#x2009;23.4&#x2009;years)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref7">Azkhosh et al. (2020)</xref>
</td>
<td align="left" valign="top">Iran</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;160</td>
<td align="left" valign="top">Older individuals (&#x003E;60&#x2009;years); 57% males</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref9">Brito-Costa et al. (2015)</xref>
</td>
<td align="left" valign="top">Portugal</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;170</td>
<td align="left" valign="top">Male soccer athletes; age 13&#x2013;33&#x2009;years (<italic>M</italic>&#x2009;=&#x2009;18.5)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref10">Carvalho et al. (2012)</xref>
</td>
<td align="left" valign="top">Brazil</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;404</td>
<td align="left" valign="top">Secondary school students; 59.4% females; age 14&#x2013;20&#x2009;years (<italic>M</italic>&#x2009;=&#x2009;15.9)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref12">Chiorri et al. (2015)</xref>
</td>
<td align="left" valign="top">Italy</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;884</td>
<td align="left" valign="top">Study 1 (<italic>n</italic>&#x2009;=&#x2009;189): general population (72% females, age 18&#x2013;65&#x2009;years); Study 2 (<italic>n</italic>&#x2009;=&#x2009;157): university students (78% females, age 18&#x2013;42&#x2009;years); Study 3 (<italic>n</italic>&#x2009;=&#x2009;472): General population (52% female, age 18&#x2013;77&#x2009;years); Study 4 (<italic>n</italic>&#x2009;=&#x2009;66): university students (82% females, age 19&#x2013;59&#x2009;years)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref18">Cred&#x00E9; et al. (2012)</xref>
</td>
<td align="left" valign="top">USA</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;832</td>
<td align="left" valign="top">Sample 1 (<italic>n</italic>&#x2009;=&#x2009;437): employees (51% females, age <italic>M</italic>&#x2009;=&#x2009;40.1); Sample 2 (<italic>n</italic>&#x2009;=&#x2009;395): university students (58% females, age <italic>M</italic>&#x2009;=&#x2009;19.1)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref20">DeBell et al. (2022)</xref>
</td>
<td align="left" valign="top">USA</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;2,816</td>
<td align="left" valign="top">Two general population probabily samples (sample 1: <italic>n</italic>&#x2009;=&#x2009;1,253, sample 2: <italic>n</italic>&#x2009;=&#x2009;1,563)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref21">Denissen et al. (2008)</xref>
</td>
<td align="left" valign="top">Netherlands</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;221</td>
<td align="left" valign="top">University students; 82% females; age <italic>M</italic>&#x2009;=&#x2009;18.9&#x2009;years</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref22">Ehrhart et al. (2009)</xref>
</td>
<td align="left" valign="top">USA</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;902</td>
<td align="left" valign="top">University students; 51% females; age <italic>M</italic>&#x2009;=&#x2009;21.8&#x2009;years</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref24">Furnham (2008)</xref>
</td>
<td align="left" valign="top">United Kingdom</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;100</td>
<td align="left" valign="top">University students; 78% females; age <italic>M</italic>&#x2009;=&#x2009;19.7&#x2009;years</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref27">Gosling et al. (2003)</xref>
</td>
<td align="left" valign="top">USA</td>
<td align="left" valign="top"><italic>N</italic> = 1,813<xref rid="tfn1" ref-type="table-fn"><sup>a</sup></xref></td>
<td align="left" valign="top">University students; 65% females</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref28">Herzberg and Br&#x00E4;hler (2006)</xref>
</td>
<td align="left" valign="top">Germany</td>
<td align="left" valign="top"><italic>N</italic> = 2,916<xref rid="tfn1" ref-type="table-fn"><sup>a</sup></xref></td>
<td align="left" valign="top">Sample 1 (<italic>n</italic>&#x2009;=&#x2009;2,552): general population [53% females, age 14&#x2013;99&#x2009;years (<italic>M&#x2009;=</italic> 47.6)]; Sample 2 (<italic>n</italic>&#x2009;=&#x2009;364): friends/relatives of participants in sample 1 [54.9% females, age 18&#x2013;94&#x2009;years (<italic>M</italic>&#x2009;=&#x2009;13.8)]</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref29">Hofmans et al. (2008)</xref>
</td>
<td align="left" valign="top">Netherlands</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;345</td>
<td align="left" valign="top">University students; 77.5% females; age 13&#x2013;63&#x2009;years (<italic>M</italic>&#x2009;=&#x2009;18.5)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref30">Islam (2019)</xref>
</td>
<td align="left" valign="top">Bangladesh</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;662</td>
<td align="left" valign="top">General population; 53.8% females; age 15&#x2013;60&#x2009;years (<italic>M</italic>&#x2009;=&#x2009;43.0)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref31">Iwasa and Yoshida (2018)</xref>
</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;832</td>
<td align="left" valign="top">Sample 1 (<italic>n</italic>&#x2009;=&#x2009;520): middle-aged adults (40&#x2013;64&#x2009;years), 50% females; Sample 2 (<italic>n</italic>&#x2009;=&#x2009;312): older adults (65&#x2013;79&#x2009;years), 50% females</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref35">Laguna et al. (2014)</xref>
</td>
<td align="left" valign="top">Poland</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;399</td>
<td align="left" valign="top">University students; 64.4% females; age 18&#x2013;34&#x2009;years (<italic>M</italic>&#x2009;=&#x2009;22.0)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref39">Martskvishvili et al. (2020)</xref>
</td>
<td align="left" valign="top">Georgia</td>
<td align="left" valign="top"><italic>N</italic> = 377<xref rid="tfn1" ref-type="table-fn"><sup>a</sup></xref></td>
<td align="left" valign="top">Students; 44.6% females; age 16&#x2013;58 (<italic>M</italic>&#x2009;=&#x2009;20.6)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref43">Metzer et al. (2014)</xref>
</td>
<td align="left" valign="top">South Africa</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;662</td>
<td align="left" valign="top">University students; 80% females; age <italic>M</italic>&#x2009;=&#x2009;21.0&#x2009;years</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref47">Muck et al. (2007)</xref>
</td>
<td align="left" valign="top">Germany</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;180</td>
<td align="left" valign="top">General population; 48.3% females; age 17&#x2013;75&#x2009;years (<italic>M</italic>&#x2009;=&#x2009;25.0)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref51">Nunes et al. (2018)</xref>
</td>
<td align="left" valign="top">Portugal</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;333</td>
<td align="left" valign="top">University students; 78% females; age <italic>M</italic>&#x2009;=&#x2009;33.2</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref53">Oshio et al. (2013)</xref>
</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;163</td>
<td align="left" valign="top">University students; 58.9% females; age <italic>M</italic>&#x2009;=&#x2009;19.0</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref54">Oshio et al. (2014)</xref>
</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;228</td>
<td align="left" valign="top">University students; 62.7% females; age <italic>M</italic>&#x2009;=&#x2009;19.5</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref61">Renau et al. (2013)</xref>
</td>
<td align="left" valign="top">Spain</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;500</td>
<td align="left" valign="top">University students and volunteers recruited by students (study 1: <italic>n</italic>&#x2009;=&#x2009;309; study 2: <italic>n</italic>&#x2009;=&#x2009;191)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref64">Romero et al. (2012)</xref>
</td>
<td align="left" valign="top">Spain</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;1,181</td>
<td align="left" valign="top">University students and adults from the general population; 62.3% females; age 21&#x2013;61&#x2009;years (<italic>M</italic>&#x2009;=&#x2009;35.6)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref67">Schult et al. (2019)</xref>
</td>
<td align="left" valign="top">Germany</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;198</td>
<td align="left" valign="top">University students; 75% females; age 18&#x2013;45&#x2009;years (<italic>M</italic>&#x2009;=&#x2009;23.2)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref68">Shi et al. (2022)</xref>
</td>
<td align="left" valign="top">China</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;2,223</td>
<td align="left" valign="top">University students; 74.1% females; age <italic>M</italic>&#x2009;=&#x2009;22.5&#x2009;years</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref71">Storme et al. (2016)</xref>
</td>
<td align="left" valign="top">France</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;1,554</td>
<td align="left" valign="top">Students and adults from the general population; 59.3% females; age 16&#x2013;88&#x2009;years (<italic>M</italic>&#x2009;=&#x2009;28.6)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref73">Th&#x00F8;rrisen et al. (2021)</xref>
</td>
<td align="left" valign="top">Norway</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;5,009</td>
<td align="left" valign="top">Graduates with a master degree; 62.4% females; the majority aged 28&#x2013;30&#x2009;years</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref78">Vorkapic (2016)</xref>
</td>
<td align="left" valign="top">Croatia</td>
<td align="left" valign="top"><italic>N</italic>&#x2009;=&#x2009;432</td>
<td align="left" valign="top">Teachers; 99.1% females; age 22&#x2013;64 (<italic>M</italic>&#x2009;=&#x2009;39.1)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1">
<label>a</label>
<p>Subsample involved in psychometric testing of the Ten-Item Personality Inventory (TIPI) in studies consisting of a larger total sample; <italic>M</italic>, mean.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="sec17">
<title>3.1. TIPI versions and studies exploring their psychometric properties</title>
<p>A total of 27 versions of the TIPI were identified in the 29 included studies. These versions covered 18 different languages, i.e., English (<xref ref-type="bibr" rid="ref27">Gosling et al., 2003</xref>; <xref ref-type="bibr" rid="ref24">Furnham, 2008</xref>; <xref ref-type="bibr" rid="ref22">Ehrhart et al., 2009</xref>; <xref ref-type="bibr" rid="ref18">Cred&#x00E9; et al., 2012</xref>; <xref ref-type="bibr" rid="ref43">Metzer et al., 2014</xref>; <xref ref-type="bibr" rid="ref20">DeBell et al., 2022</xref>), Bengali (<xref ref-type="bibr" rid="ref30">Islam, 2019</xref>), Catalan (<xref ref-type="bibr" rid="ref61">Renau et al., 2013</xref>), Chinese (<xref ref-type="bibr" rid="ref68">Shi et al., 2022</xref>), Croatian (<xref ref-type="bibr" rid="ref78">Vorkapic, 2016</xref>), Dutch (<xref ref-type="bibr" rid="ref21">Denissen et al., 2008</xref>; <xref ref-type="bibr" rid="ref29">Hofmans et al., 2008</xref>), French (<xref ref-type="bibr" rid="ref71">Storme et al., 2016</xref>), German (<xref ref-type="bibr" rid="ref28">Herzberg and Br&#x00E4;hler, 2006</xref>; <xref ref-type="bibr" rid="ref47">Muck et al., 2007</xref>; <xref ref-type="bibr" rid="ref67">Schult et al., 2019</xref>), Georgian (<xref ref-type="bibr" rid="ref39">Martskvishvili et al., 2020</xref>), Indonesian (<xref ref-type="bibr" rid="ref2">Akhtar, 2018</xref>), Italian (<xref ref-type="bibr" rid="ref12">Chiorri et al., 2015</xref>), Japanese (<xref ref-type="bibr" rid="ref53">Oshio et al., 2013</xref>, <xref ref-type="bibr" rid="ref54">2014</xref>; <xref ref-type="bibr" rid="ref31">Iwasa and Yoshida, 2018</xref>), Norwegian (<xref ref-type="bibr" rid="ref73">Th&#x00F8;rrisen et al., 2021</xref>), Persian (<xref ref-type="bibr" rid="ref7">Azkhosh et al., 2020</xref>), Polish (<xref ref-type="bibr" rid="ref35">Laguna et al., 2014</xref>), Portuguese (<xref ref-type="bibr" rid="ref10">Carvalho et al., 2012</xref>; <xref ref-type="bibr" rid="ref9">Brito-Costa et al., 2015</xref>; <xref ref-type="bibr" rid="ref51">Nunes et al., 2018</xref>), Spanish (<xref ref-type="bibr" rid="ref64">Romero et al., 2012</xref>; <xref ref-type="bibr" rid="ref61">Renau et al., 2013</xref>), and Turkish (<xref ref-type="bibr" rid="ref6">Atak, 2013</xref>). An overview and description of the TIPI versions and studies exploring their psychometric properties are presented in <xref rid="tab3" ref-type="table">Table 3</xref>.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Overview and descriptions of versions of the TIPI and studies exploring their psychometric properties.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Version<xref rid="tfn2" ref-type="table-fn"><sup>a</sup></xref></th>
<th align="left" valign="top">Language</th>
<th align="left" valign="top">Abbreviation<xref rid="tfn3" ref-type="table-fn"><sup>b</sup></xref></th>
<th align="left" valign="top">Description</th>
<th align="left" valign="top">Studies<xref rid="tfn4" ref-type="table-fn"><sup>c</sup></xref></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="6">ENG-1</td>
<td align="left" valign="middle" rowspan="6">English</td>
<td align="left" valign="middle" rowspan="6">TIPI</td>
<td align="left" valign="middle" rowspan="6">Original TIPI</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref27">Gosling et al. (2003)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref24">Furnham (2008)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref22">Ehrhart et al. (2009)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref18">Cred&#x00E9; et al. (2012)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref43">Metzer et al. (2014)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref20">DeBell et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">ENG-2</td>
<td align="left" valign="middle">English</td>
<td/>
<td align="left" valign="middle">Revised version of ENG-1. Uses shorter instruction and uses verbal labels for response options instead of numbers</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref20">DeBell et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">BEN</td>
<td align="left" valign="middle">Bangla/Bengali</td>
<td align="left" valign="middle">TIPI-B</td>
<td align="left" valign="middle">Bangla/Bengali translation of ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref30">Islam (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">CAT</td>
<td align="left" valign="middle">Catalan</td>
<td align="left" valign="middle">TIPI-CAT</td>
<td align="left" valign="middle">Catalan translation of ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref61">Renau et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">CHI</td>
<td align="left" valign="middle">Chinese</td>
<td/>
<td align="left" valign="middle">Chinese translation of ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref68">Shi et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">DUT-1</td>
<td align="left" valign="middle">Dutch</td>
<td align="left" valign="middle">TIPI-d v1</td>
<td align="left" valign="middle">Dutch translation of ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref29">Hofmans et al. (2008)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">DUT-2</td>
<td align="left" valign="middle">Dutch</td>
<td align="left" valign="middle">TIPI-d v2</td>
<td align="left" valign="middle">Revised version of DUT-1. Revised wording of five items</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref29">Hofmans et al. (2008)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">DUT-3</td>
<td align="left" valign="middle">Dutch</td>
<td align="left" valign="middle">TIPI-r</td>
<td align="left" valign="middle">Dutch translation of ENG-1, with bipolar rating scales</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref21">Denissen et al. (2008)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">FRE</td>
<td align="left" valign="middle">French</td>
<td/>
<td align="left" valign="middle">French translation of ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref71">Storme et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">GER-1</td>
<td align="left" valign="middle">German</td>
<td/>
<td align="left" valign="middle">German translation of ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref28">Herzberg and Br&#x00E4;hler (2006)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">GER-2</td>
<td align="left" valign="middle" rowspan="2">German</td>
<td align="left" valign="middle" rowspan="2">TIPI-G</td>
<td align="left" valign="middle" rowspan="2">German translation of ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref47">Muck et al. (2007)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref67">Schult et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">GER-3</td>
<td align="left" valign="middle">German</td>
<td/>
<td align="left" valign="middle">Revised version of GER-2. Single-descriptor instead of multi-descriptor items (20 instead of 10 items)</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref67">Schult et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">GEO</td>
<td align="left" valign="middle">Georgian</td>
<td/>
<td align="left" valign="middle">Georgian translation of ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref39">Martskvishvili et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">HRV</td>
<td align="left" valign="middle">Croatian</td>
<td/>
<td align="left" valign="middle">Croatian translation of ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref78">Vorkapic (2016)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">IND</td>
<td align="left" valign="middle">Indonesian</td>
<td/>
<td align="left" valign="middle">Indonesian translation of ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref2">Akhtar (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">ITA-1</td>
<td align="left" valign="middle">Italian</td>
<td align="left" valign="middle">I-TIPI</td>
<td align="left" valign="middle">Italian translation of ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref12">Chiorri et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">ITA-2</td>
<td align="left" valign="middle">Italian</td>
<td align="left" valign="middle">I-TIPI-R</td>
<td align="left" valign="middle">Revision of ITA-1. Wording of some items revised</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref12">Chiorri et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">JPN</td>
<td align="left" valign="middle" rowspan="2">Japanese</td>
<td align="left" valign="middle" rowspan="2">TIPI-J</td>
<td align="left" valign="middle" rowspan="2">Japanese translation of ENG-1</td>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref53">Oshio et al. (2013</xref>, <xref ref-type="bibr" rid="ref54">2014)</xref></td>
</tr>
<tr>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref31">Iwasa and Yoshida (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">NOR</td>
<td align="left" valign="middle">Norwegian</td>
<td align="left" valign="middle">N-TIPI</td>
<td align="left" valign="middle">Norwegian translation of ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref73">Th&#x00F8;rrisen et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">PER</td>
<td align="left" valign="middle">Persian</td>
<td/>
<td align="left" valign="middle">Persian translation of ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref7">Azkhosh et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">POL</td>
<td align="left" valign="middle">Polish</td>
<td align="left" valign="middle">TIPI-P</td>
<td align="left" valign="middle">Polish translation of ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref35">Laguna et al. (2014)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">POR-1</td>
<td align="left" valign="middle">Portuguese (Brazil)</td>
<td align="left" valign="middle">TIPI-Br</td>
<td align="left" valign="middle">Portuguese (Brazil) translation of ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref10">Carvalho et al. (2012)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">POR-2</td>
<td align="left" valign="middle" rowspan="2">Portuguese</td>
<td rowspan="2"/>
<td align="left" valign="middle" rowspan="2">Portuguese translation of ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref9">Brito-Costa et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref51">Nunes et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">SPA-1</td>
<td align="left" valign="middle">Spanish</td>
<td/>
<td align="left" valign="middle">Spanish translation of ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref64">Romero et al. (2012)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">SPA-2</td>
<td align="left" valign="middle">Spanish</td>
<td align="left" valign="middle">TIPI-SPA</td>
<td align="left" valign="middle">Spanish translation of ENG-1. Based on SPA-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref61">Renau et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">SPA-3</td>
<td align="left" valign="middle">Spanish</td>
<td align="left" valign="middle">TIPI-SPA-v2</td>
<td align="left" valign="middle">Revised version of SPA-2. Revised wording of two items</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref61">Renau et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">TUR</td>
<td align="left" valign="middle">Turkish</td>
<td/>
<td align="left" valign="middle">Turkish translation of ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref6">Atak (2013)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2">
<label>a</label>
<p>Code consisting of ISO 639-2 three-letter language code and number indicating language version.</p>
</fn>
<fn id="tfn3">
<label>b</label>
<p>Instrument abbreviation utilized in studies exploring psychometric properties of the instrument.</p>
</fn>
<fn id="tfn4">
<label>c</label>
<p>Studies that have explored psychometric properties of the version.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec18">
<title>3.2. Psychometric properties tested for the TIPI versions</title>
<p>Based on the 29 included studies, the original TIPI (ENG-1) was subjected to the most extensive psychometric inspection, with all four psychometric domains (convergent validity, structural validity, internal consistency and test&#x2013;retest reliability) tested in six studies (<xref ref-type="bibr" rid="ref27">Gosling et al., 2003</xref>; <xref ref-type="bibr" rid="ref24">Furnham, 2008</xref>; <xref ref-type="bibr" rid="ref22">Ehrhart et al., 2009</xref>; <xref ref-type="bibr" rid="ref18">Cred&#x00E9; et al., 2012</xref>; <xref ref-type="bibr" rid="ref43">Metzer et al., 2014</xref>; <xref ref-type="bibr" rid="ref20">DeBell et al., 2022</xref>). The Japanese translation of the TIPI (JPN) was tested on four domains in three studies (<xref ref-type="bibr" rid="ref53">Oshio et al., 2013</xref>, <xref ref-type="bibr" rid="ref54">2014</xref>; <xref ref-type="bibr" rid="ref31">Iwasa and Yoshida, 2018</xref>), the second Portuguese version (POR-2) was tested on four domains in two studies (<xref ref-type="bibr" rid="ref9">Brito-Costa et al., 2015</xref>; <xref ref-type="bibr" rid="ref51">Nunes et al., 2018</xref>), and the second German version (GER-2) was tested on three domains in two studies (<xref ref-type="bibr" rid="ref47">Muck et al., 2007</xref>; <xref ref-type="bibr" rid="ref67">Schult et al., 2019</xref>). Across all versions of the TIPI, internal consistency was most frequently tested (<italic>n</italic>&#x2009;=&#x2009;28 tests), followed by convergent validity (<italic>n</italic>&#x2009;=&#x2009;26 tests), structural validity (<italic>n</italic>&#x2009;=&#x2009;22 tests) and test&#x2013;retest reliability (<italic>n</italic>&#x2009;=&#x2009;17 tests). An overview of psychometric properties tested for the TIPI versions is presented in <xref rid="tab4" ref-type="table">Table 4</xref>.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Overview of psychometric properties tested for the TIPI versions.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="center" valign="top" colspan="2">Validity</th>
<th align="center" valign="top" colspan="2">Reliability</th>
<th/>
</tr>
<tr>
<th align="left" valign="middle">Version<xref rid="tfn5" ref-type="table-fn"><sup>a</sup></xref></th>
<th align="left" valign="middle">Study</th>
<th align="center" valign="middle">Con.<xref rid="tfn6" ref-type="table-fn"><sup>b</sup></xref></th>
<th align="center" valign="middle">Str.</th>
<th align="center" valign="middle">IC</th>
<th align="center" valign="middle">T-R</th>
<th align="center" valign="middle">Score<xref rid="tfn7" ref-type="table-fn"><sup>c</sup></xref></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="6">ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref27">Gosling et al. (2003)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle" rowspan="6">&#x25CF;</td>
<td align="center" valign="middle" rowspan="6">11</td>
</tr>
<tr>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref24">Furnham (2008)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref22">Ehrhart et al. (2009)</xref>
</td>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
</tr>
<tr>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref18">Cred&#x00E9; et al. (2012)</xref>
</td>
<td/>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
</tr>
<tr>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref43">Metzer et al. (2014)</xref>
</td>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
</tr>
<tr>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref20">DeBell et al. (2022)</xref>
</td>
<td/>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
</tr>
<tr>
<td align="left" valign="middle">ENG-2</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref20">DeBell et al. (2022)</xref>
</td>
<td/>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">2</td>
</tr>
<tr>
<td align="left" valign="middle">BEN</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref30">Islam (2019)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">4</td>
</tr>
<tr>
<td align="left" valign="middle">CAT</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref61">Renau et al. (2013)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">3</td>
</tr>
<tr>
<td align="left" valign="middle">CHI</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref68">Shi et al. (2022)</xref>
</td>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td align="center" valign="middle">2</td>
</tr>
<tr>
<td align="left" valign="middle">DUT-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref29">Hofmans et al. (2008)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
<td align="center" valign="middle">2</td>
</tr>
<tr>
<td align="left" valign="middle">DUT-2</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref29">Hofmans et al. (2008)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
<td align="center" valign="middle">2</td>
</tr>
<tr>
<td align="left" valign="middle">DUT-3</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref21">Denissen et al. (2008)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">2</td>
</tr>
<tr>
<td align="left" valign="middle">FRE</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref71">Storme et al. (2016)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">4</td>
</tr>
<tr>
<td align="left" valign="middle">GER-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref28">Herzberg and Br&#x00E4;hler (2006)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">4</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">GER-2</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref47">Muck et al. (2007)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle" rowspan="2">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td align="center" valign="middle" rowspan="2">5</td>
</tr>
<tr>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref67">Schult et al. (2019)</xref></td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">GER-3</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref67">Schult et al. (2019)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td align="center" valign="middle">2</td>
</tr>
<tr>
<td align="left" valign="middle">GEO</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref39">Martskvishvili et al. (2020)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td align="center" valign="middle">3</td>
</tr>
<tr>
<td align="left" valign="middle">HRV</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref78">Vorkapic (2016)</xref>
</td>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td align="center" valign="middle">2</td>
</tr>
<tr>
<td align="left" valign="middle">IND</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref2">Akhtar (2018)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">4</td>
</tr>
<tr>
<td align="left" valign="middle">ITA-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref12">Chiorri et al. (2015)</xref>
</td>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td align="center" valign="middle">2</td>
</tr>
<tr>
<td align="left" valign="middle">ITA-2</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref12">Chiorri et al. (2015)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">4</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">JPN</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref53">Oshio et al. (2013)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
<td align="center" valign="middle" rowspan="3">7</td>
</tr>
<tr>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref54">Oshio et al. (2014)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref31">Iwasa and Yoshida (2018)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
</tr>
<tr>
<td align="left" valign="middle">NOR</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref73">Th&#x00F8;rrisen et al. (2021)</xref>
</td>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td align="center" valign="middle">2</td>
</tr>
<tr>
<td align="left" valign="middle">PER</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref7">Azkhosh et al. (2020)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">3</td>
</tr>
<tr>
<td align="left" valign="middle">POL</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref35">Laguna et al. (2014)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">3</td>
</tr>
<tr>
<td align="left" valign="middle">POR-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref10">Carvalho et al. (2012)</xref>
</td>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
<td align="center" valign="middle">2</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">POR-2</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref9">Brito-Costa et al. (2015)</xref>
</td>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
<td align="center" valign="middle" rowspan="2">5</td>
</tr>
<tr>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref51">Nunes et al. (2018)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
</tr>
<tr>
<td align="left" valign="middle">SPA-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref64">Romero et al. (2012)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">4</td>
</tr>
<tr>
<td align="left" valign="middle">SPA-2</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref61">Renau et al. (2013)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">3</td>
</tr>
<tr>
<td align="left" valign="middle">SPA-3</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref61">Renau et al. (2013)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">3</td>
</tr>
<tr>
<td align="left" valign="middle">TUR</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref6">Atak (2013)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">&#x25CF;</td>
<td align="center" valign="middle">4</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>TIPI, Ten-Item Personality Inventory; Con., convergent validity; Str., structural validity; IC, internal consistency; T-R, test&#x2013;retest reliability.</p>
<fn id="tfn5">
<label>a</label>
<p>See <xref rid="tab3" ref-type="table">Table 3</xref> for details about versions.</p>
</fn>
<fn id="tfn6">
<label>b</label>
<p>Convergence with BFI, NEO-FFI and/or NEO-PI-R.</p>
</fn>
<fn id="tfn7">
<label>c</label>
<p>Score indicating the extent to which each version has been subjected to psychometric inspection.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec19">
<title>3.3. Convergent validity</title>
<p>Estimates of convergent validity (convergence between identified TIPI versions and NEO-PI-R, NEO-FFI and/or BFI subscales) are presented in <xref rid="tab5" ref-type="table">Table 5</xref>. A more detailed overview of convergent validity estimates is available in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>.</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Convergent validity (convergence between identified TIPI versions and three other validated FFM instruments).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="6">Convergence with BFI</th>
<th align="center" valign="top" colspan="6">Convergence with NEO-FFI</th>
<th align="center" valign="top" colspan="6">Convergence with NEO-PI-R</th>
</tr>
<tr>
<th align="left" valign="top">Version<xref rid="tfn8" ref-type="table-fn"><sup>a</sup></xref></th>
<th align="center" valign="top">E</th>
<th align="center" valign="top">A</th>
<th align="center" valign="top">C</th>
<th align="center" valign="top">ES</th>
<th align="center" valign="top">O</th>
<th align="center" valign="top">All</th>
<th align="center" valign="top">E</th>
<th align="center" valign="top">A</th>
<th align="center" valign="top">C</th>
<th align="center" valign="top">ES</th>
<th align="center" valign="top">O</th>
<th align="center" valign="top">All</th>
<th align="center" valign="top">E</th>
<th align="center" valign="top">A</th>
<th align="center" valign="top">C</th>
<th align="center" valign="top">ES</th>
<th align="center" valign="top">O</th>
<th align="center" valign="top">All</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">ENG-1</td>
<td align="center" valign="top"><bold>0.87</bold></td>
<td align="center" valign="top"><bold>0.70</bold></td>
<td align="center" valign="top"><bold>0.75</bold></td>
<td align="center" valign="top"><bold>0.81</bold></td>
<td align="center" valign="top"><bold>0.65</bold></td>
<td align="center" valign="top"><bold>0.76</bold></td>
<td align="center" valign="top">0.48</td>
<td align="center" valign="top">0.39</td>
<td align="center" valign="top"><bold>0.66</bold></td>
<td align="center" valign="top"><bold>0.61</bold></td>
<td align="center" valign="top"><bold>0.52</bold></td>
<td align="center" valign="top"><bold>0.53</bold></td>
<td align="center" valign="top"><bold>0.65</bold></td>
<td align="center" valign="top"><bold>0.59</bold></td>
<td align="center" valign="top"><bold>0.68</bold></td>
<td align="center" valign="top"><bold>0.66</bold></td>
<td align="center" valign="top"><bold>0.56</bold></td>
<td align="center" valign="top"><bold>0.63</bold></td>
</tr>
<tr>
<td align="left" valign="top">BEN</td>
<td align="center" valign="top"><bold>0.82</bold></td>
<td align="center" valign="top"><bold>0.76</bold></td>
<td align="center" valign="top"><bold>0.79</bold></td>
<td align="center" valign="top"><bold>0.80</bold></td>
<td align="center" valign="top"><bold>0.75</bold></td>
<td align="center" valign="top"><bold>0.78</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">CAT</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top"><bold>0.61</bold></td>
<td align="center" valign="top">0.42</td>
<td align="center" valign="top"><bold>0.63</bold></td>
<td align="center" valign="top"><bold>0.55</bold></td>
<td align="center" valign="top">0.16</td>
<td align="center" valign="top">0.47</td>
</tr>
<tr>
<td align="left" valign="top">DUT-1</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top"><bold>0.74</bold></td>
<td align="center" valign="top">0.48</td>
<td align="center" valign="top"><bold>0.66</bold></td>
<td align="center" valign="top"><bold>0.70</bold></td>
<td align="center" valign="top">0.12</td>
<td align="center" valign="top"><bold>0.54</bold></td>
</tr>
<tr>
<td align="left" valign="top">DUT-2</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top"><bold>0.72</bold></td>
<td align="center" valign="top">0.49</td>
<td align="center" valign="top"><bold>0.67</bold></td>
<td align="center" valign="top"><bold>0.64</bold></td>
<td align="center" valign="top">0.48</td>
<td align="center" valign="top"><bold>0.60</bold></td>
</tr>
<tr>
<td align="left" valign="top">DUT-3</td>
<td align="center" valign="top"><bold>0.68</bold></td>
<td align="center" valign="top"><bold>0.59</bold></td>
<td align="center" valign="top"><bold>0.66</bold></td>
<td align="center" valign="top"><bold>0.70</bold></td>
<td align="center" valign="top"><bold>0.68</bold></td>
<td align="center" valign="top"><bold>0.66</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">FRE</td>
<td align="center" valign="top"><bold>0.78</bold></td>
<td align="center" valign="top"><bold>0.63</bold></td>
<td align="center" valign="top"><bold>0.71</bold></td>
<td align="center" valign="top"><bold>0.77</bold></td>
<td align="center" valign="top"><bold>0.66</bold></td>
<td align="center" valign="top"><bold>0.71</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">GER-1</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.45</td>
<td align="center" valign="top">0.08</td>
<td align="center" valign="top">0.46</td>
<td align="center" valign="top"><bold>0.66</bold></td>
<td align="center" valign="top"><bold>0.23</bold></td>
<td align="center" valign="top">0.38</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">GER-2</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top"><bold>0.57</bold></td>
<td align="center" valign="top"><bold>0.64</bold></td>
<td align="center" valign="top"><bold>0.67</bold></td>
<td align="center" valign="top"><bold>0.77</bold></td>
<td align="center" valign="top">0.42</td>
<td align="center" valign="top"><bold>0.61</bold></td>
<td align="center" valign="top"><bold>0.69</bold></td>
<td align="center" valign="top"><bold>0.51</bold></td>
<td align="center" valign="top"><bold>0.68</bold></td>
<td align="center" valign="top"><bold>0.76</bold></td>
<td align="center" valign="top">0.41</td>
<td align="center" valign="top"><bold>0.61</bold></td>
</tr>
<tr>
<td align="left" valign="top">GER-3</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top"><bold>0.56</bold></td>
<td align="center" valign="top"><bold>0.67</bold></td>
<td align="center" valign="top"><bold>0.78</bold></td>
<td align="center" valign="top"><bold>0.77</bold></td>
<td align="center" valign="top">0.48</td>
<td align="center" valign="top"><bold>0.65</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">GEO</td>
<td align="center" valign="top"><bold>0.85</bold></td>
<td align="center" valign="top"><bold>0.50</bold></td>
<td align="center" valign="top"><bold>0.75</bold></td>
<td align="center" valign="top"><bold>0.85</bold></td>
<td align="center" valign="top"><bold>0.51</bold></td>
<td align="center" valign="top"><bold>0.69</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">IND</td>
<td align="center" valign="top"><bold>0.80</bold></td>
<td align="center" valign="top"><bold>0.61</bold></td>
<td align="center" valign="top"><bold>0.66</bold></td>
<td align="center" valign="top"><bold>0.68</bold></td>
<td align="center" valign="top">0.48</td>
<td align="center" valign="top"><bold>0.65</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">ITA-2</td>
<td align="center" valign="top"><bold>0.71</bold></td>
<td align="center" valign="top"><bold>0.62</bold></td>
<td align="center" valign="top"><bold>0.79</bold></td>
<td align="center" valign="top"><bold>0.55</bold></td>
<td align="center" valign="top"><bold>0.58</bold></td>
<td align="center" valign="top"><bold>0.65</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
</tr>
<tr>
<td align="left" valign="top">JPN</td>
<td align="center" valign="top"><bold>0.72</bold></td>
<td align="center" valign="top">0.39</td>
<td align="center" valign="top">0.41</td>
<td align="center" valign="top"><bold>0.59</bold></td>
<td align="center" valign="top">0.46</td>
<td align="center" valign="top"><bold>0.59</bold></td>
<td align="center" valign="top"><bold>0.68</bold></td>
<td align="center" valign="top"><bold>0.61</bold></td>
<td align="center" valign="top"><bold>0.62</bold></td>
<td align="center" valign="top"><bold>0.69</bold></td>
<td align="center" valign="top">0.40</td>
<td align="center" valign="top"><bold>0.60</bold></td>
<td align="center" valign="top"><bold>0.65</bold></td>
<td align="center" valign="top">0.49</td>
<td align="center" valign="top"><bold>0.63</bold></td>
<td align="center" valign="top"><bold>0.70</bold></td>
<td align="center" valign="top">0.46</td>
<td align="center" valign="top"><bold>0.59</bold></td>
</tr>
<tr>
<td align="left" valign="top">PER</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.42</td>
<td align="center" valign="top">0.27</td>
<td align="center" valign="top"><bold>0.53</bold></td>
<td align="center" valign="top">0.10</td>
<td align="center" valign="top">0.24</td>
<td align="center" valign="top">0.31</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">POL</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top"><bold>0.70</bold></td>
<td align="center" valign="top"><bold>0.62</bold></td>
<td align="center" valign="top"><bold>0.65</bold></td>
<td align="center" valign="top"><bold>0.65</bold></td>
<td align="center" valign="top">0.38</td>
<td align="center" valign="top"><bold>0.60</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">POR-2</td>
<td align="center" valign="top"><bold>0.78</bold></td>
<td align="center" valign="top"><bold>0.60</bold></td>
<td align="center" valign="top"><bold>0.74</bold></td>
<td align="center" valign="top"><bold>0.77</bold></td>
<td align="center" valign="top"><bold>0.69</bold></td>
<td align="center" valign="top"><bold>0.72</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">SPA-1</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top"><bold>0.55</bold></td>
<td align="center" valign="top">0.36</td>
<td align="center" valign="top"><bold>0.64</bold></td>
<td align="center" valign="top"><bold>0.61</bold></td>
<td align="center" valign="top"><bold>0.50</bold></td>
<td align="center" valign="top"><bold>0.53</bold></td>
</tr>
<tr>
<td align="left" valign="top">SPA-2</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.41</td>
<td align="center" valign="top">0.05</td>
<td align="center" valign="top"><bold>0.63</bold></td>
<td align="center" valign="top">0.40</td>
<td align="center" valign="top">0.35</td>
<td align="center" valign="top">0.37</td>
</tr>
<tr>
<td align="left" valign="top">SPA-3</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.45</td>
<td align="center" valign="top">0.35</td>
<td align="center" valign="top"><bold>0.70</bold></td>
<td align="center" valign="top">0.47</td>
<td align="center" valign="top"><bold>0.50</bold></td>
<td align="center" valign="top">0.49</td>
</tr>
<tr>
<td align="left" valign="top">TUR</td>
<td align="center" valign="top"><bold>0.58</bold></td>
<td align="center" valign="top">0.44</td>
<td align="center" valign="top"><bold>0.57</bold></td>
<td align="center" valign="top"><bold>0.59</bold></td>
<td align="center" valign="top"><bold>0.53</bold></td>
<td align="center" valign="top"><bold>0.54</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>M</italic>, all</td>
<td align="center" valign="top"><bold>0.76</bold></td>
<td align="center" valign="top"><bold>0.58</bold></td>
<td align="center" valign="top"><bold>0.68</bold></td>
<td align="center" valign="top"><bold>0.71</bold></td>
<td align="center" valign="top"><bold>0.60</bold></td>
<td align="center" valign="top"><bold>0.68</bold></td>
<td align="center" valign="top"><bold>0.55</bold></td>
<td align="center" valign="top">0.47</td>
<td align="center" valign="top"><bold>0.62</bold></td>
<td align="center" valign="top"><bold>0.61</bold></td>
<td align="center" valign="top">0.38</td>
<td align="center" valign="top"><bold>0.53</bold></td>
<td align="center" valign="top"><bold>0.61</bold></td>
<td align="center" valign="top">0.42</td>
<td align="center" valign="top"><bold>0.66</bold></td>
<td align="center" valign="top"><bold>0.61</bold></td>
<td align="center" valign="top"><bold>0.54</bold></td>
<td align="center" valign="top"><bold>0.54</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>TIPI, Ten-Item Personality Inventory; FFM, Five-factor model of personality (Big Five); BFI, Big Five Inventory (<xref ref-type="bibr" rid="ref32">John and Srivastava, 1999</xref>); NEO-FFI, NEO Five-Factor Inventory (<xref ref-type="bibr" rid="ref17">Costa and McCrae, 1992</xref>); NEO-PI-R, NEO Personality Inventory-Revised (<xref ref-type="bibr" rid="ref17">Costa and McCrae, 1992</xref>); E, extraversion; A, agreeableness; C, conscientiousness; ES, emotional stability; O, openness; <italic>M</italic>, mean; All estimates (correlations) are based on results reported in the included studies. Mean estimates are reported in instances where two or more studies have tested the version&#x2019;s convergent validity with the same FFM instrument (see <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref> for details); Bold typeface indicates <italic>r</italic>&#x2009;&#x2265;&#x2009;0.50.</p>
<fn id="tfn8">
<label>a</label>
<p>See <xref rid="tab3" ref-type="table">Table 3</xref> for details about versions/translations.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>As shown in <xref rid="tab5" ref-type="table">Table 5</xref>, convergence with BFI subscales was tested for 10 versions of the TIPI. Seven of these versions demonstrated acceptable convergence (<italic>r</italic>&#x2009;&#x2265;&#x2009;0.50) on all five subscales (ENG-1 in <xref ref-type="bibr" rid="ref24">Furnham, 2008</xref> and <xref ref-type="bibr" rid="ref27">Gosling et al., 2003</xref>; BEN in <xref ref-type="bibr" rid="ref30">Islam, 2019</xref>; DUT-3 in <xref ref-type="bibr" rid="ref21">Denissen et al., 2008</xref>; FRE in <xref ref-type="bibr" rid="ref71">Storme et al., 2016</xref>; GEO in <xref ref-type="bibr" rid="ref39">Martskvishvili et al., 2020</xref>; ITA-2 in <xref ref-type="bibr" rid="ref12">Chiorri et al., 2015</xref>; and POR-2 in <xref ref-type="bibr" rid="ref51">Nunes et al., 2018</xref>). Across all five dimensions, the strongest convergence with BFI subscales was found for BEN (<italic>r</italic>&#x2009;=&#x2009;0.78 in <xref ref-type="bibr" rid="ref30">Islam, 2019</xref>), while the weakest was for TUR (<italic>r</italic>&#x2009;=&#x2009;0.54 in <xref ref-type="bibr" rid="ref6">Atak, 2013</xref>). The mean convergence for all five dimensions across all 10 versions was <italic>r</italic>&#x2009;=&#x2009;0.68, well above the <italic>r</italic>&#x2009;&#x2265;&#x2009;0.50 threshold.</p>
<p>Convergence with NEO-FFI subscales was tested for 7 versions of the TIPI. None of the TIPI versions reached acceptable convergence on all five dimensions, but for 5 versions the mean subscale correlations reached <italic>r</italic>&#x2009;&#x2265;&#x2009;0.50 (ENG-1 in <xref ref-type="bibr" rid="ref24">Furnham, 2008</xref>; GER-2 and GER-3 in <xref ref-type="bibr" rid="ref67">Schult et al., 2019</xref>; JPN in <xref ref-type="bibr" rid="ref31">Iwasa and Yoshida, 2018</xref>; and POL in <xref ref-type="bibr" rid="ref35">Laguna et al., 2014</xref>). Across all five dimensions, the strongest convergence was found for GER-3 (<italic>r</italic>&#x2009;=&#x2009;0.65 in <xref ref-type="bibr" rid="ref67">Schult et al., 2019</xref>), although the correlation for the O subscale did not reach the threshold of <italic>r</italic>&#x2009;&#x2265;&#x2009;0.50 (<italic>r</italic>&#x2009;=&#x2009;0.48). The mean convergence for all five dimensions across all TIPI versions (7 versions) was acceptable (<italic>r</italic>&#x2009;=&#x2009;0.53).</p>
<p>Convergence with NEO-PI-R subscales was tested for 9 versions of the TIPI. Only one version (ENG-1 in <xref ref-type="bibr" rid="ref27">Gosling et al., 2003</xref>) demonstrated acceptable convergent validity across all five dimensions. However, for 6 versions, the mean correlations with NEO-PI-R subscales reached <italic>r</italic>&#x2009;&#x2265;&#x2009;0.50 (ENG-1 in <xref ref-type="bibr" rid="ref27">Gosling et al., 2003</xref>; DUT-1 in <xref ref-type="bibr" rid="ref29">Hofmans et al., 2008</xref>; GER-2 in <xref ref-type="bibr" rid="ref47">Muck et al., 2007</xref>; JPN in <xref ref-type="bibr" rid="ref53">Oshio et al., 2013</xref>; and SPA-1 in <xref ref-type="bibr" rid="ref64">Romero et al., 2012</xref>). The mean convergence for all five dimensions across all TIPI versions (9 versions) was acceptable (<italic>r</italic>&#x2009;=&#x2009;0.54).</p>
</sec>
<sec id="sec20">
<title>3.4. Structural validity</title>
<p>Conclusions from inspections of structural validity of the TIPI versions are presented in <xref rid="tab6" ref-type="table">Table 6</xref>.</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>Structural validity of the TIPI versions.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="center" valign="top" colspan="3">Satisfactory FFM structure?</th>
</tr>
<tr>
<th align="left" valign="middle">Version<xref rid="tfn9" ref-type="table-fn"><sup>a</sup></xref></th>
<th align="left" valign="middle">Study</th>
<th align="center" valign="middle">Yes</th>
<th align="center" valign="middle">Partly</th>
<th align="center" valign="middle">No</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="2">ENG-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref22">Ehrhart et al. (2009)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref43">Metzer et al. (2014)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">BEN</td>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref30">Islam (2019)</xref>, EFA</td>
<td/>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
</tr>
<tr>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref30">Islam (2019)</xref>, CFA</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">CHI</td>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref68">Shi et al. (2022)</xref>, EFA</td>
<td/>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
</tr>
<tr>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref68">Shi et al. (2022)</xref>, CFA</td>
<td/>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
</tr>
<tr>
<td align="left" valign="middle">DUT-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref29">Hofmans et al. (2008)</xref>
</td>
<td/>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
</tr>
<tr>
<td align="left" valign="middle">DUT-2</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref29">Hofmans et al. (2008)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">FRE</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref71">Storme et al. (2016)</xref>
</td>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">GER-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref28">Herzberg and Br&#x00E4;hler (2006)</xref>
</td>
<td/>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
</tr>
<tr>
<td align="left" valign="middle">GER-2</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref47">Muck et al. (2007)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">GEO</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref39">Martskvishvili et al. (2020)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">HRV</td>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref78">Vorkapic (2016)</xref>, EFA</td>
<td/>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
</tr>
<tr>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref78">Vorkapic (2016)</xref>, CFA</td>
<td/>
<td/>
<td align="center" valign="middle"/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">IND</td>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref2">Akhtar (2018)</xref>, EFA</td>
<td/>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
</tr>
<tr>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref2">Akhtar (2018)</xref>, CFA</td>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">ITA-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref12">Chiorri et al. (2015)</xref>
</td>
<td/>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
</tr>
<tr>
<td align="left" valign="middle">ITA-2</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref12">Chiorri et al. (2015)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">JPN</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref53">Oshio et al. (2013)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref54">Oshio et al. (2014)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">NOR</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref73">Th&#x00F8;rrisen et al. (2021)</xref>
</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">POR-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref10">Carvalho et al. (2012)</xref>
</td>
<td/>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">POR-2</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref9">Brito-Costa et al. (2015)</xref>
</td>
<td/>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
</tr>
<tr>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref51">Nunes et al. (2018)</xref>, EFA</td>
<td/>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
</tr>
<tr>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref51">Nunes et al. (2018)</xref>, CFA</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">SPA-1</td>
<td align="left" valign="middle">
<xref ref-type="bibr" rid="ref64">Romero et al. (2012)</xref>
</td>
<td/>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">TUR</td>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref6">Atak (2013)</xref>, EFA</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle"><xref ref-type="bibr" rid="ref6">Atak (2013)</xref>, CFA</td>
<td align="center" valign="middle">&#x25CF;</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>TIPI, Ten-Item Personality Inventory; FFM, Five-factor model of personality (Big Five); EFA, exploratory factor analysis; CFA, confirmatory factor analysis.</p>
<fn id="tfn9">
<label>a</label>
<p>See <xref rid="tab3" ref-type="table">Table 3</xref> for details about versions/translations.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Of the 19 versions of TIPI for which structural validity was tested, support for a five-factor structure theoretically corresponding to the FFM dimensions was found for 10 versions (ENG-1 in <xref ref-type="bibr" rid="ref27">Gosling et al., 2003</xref> and <xref ref-type="bibr" rid="ref43">Metzer et al., 2014</xref>; BEN in <xref ref-type="bibr" rid="ref30">Islam, 2019</xref>; DUT-2 in <xref ref-type="bibr" rid="ref29">Hofmans et al., 2008</xref>; GER-2 in <xref ref-type="bibr" rid="ref47">Muck et al., 2007</xref>; GEO in <xref ref-type="bibr" rid="ref39">Martskvishvili et al., 2020</xref>; ITA-2 in <xref ref-type="bibr" rid="ref12">Chiorri et al., 2015</xref>; JPN in <xref ref-type="bibr" rid="ref53">Oshio et al., 2013</xref>, <xref ref-type="bibr" rid="ref54">2014</xref>; NOR in <xref ref-type="bibr" rid="ref73">Th&#x00F8;rrisen et al., 2021</xref>; POR-2 in <xref ref-type="bibr" rid="ref51">Nunes et al., 2018</xref>; and TUR in <xref ref-type="bibr" rid="ref6">Atak, 2013</xref>). For two of these 10 versions (BEN and POR-2), mixed results were identified. For instance, for the second Portuguese version (POR-2), <xref ref-type="bibr" rid="ref51">Nunes et al. (2018)</xref> identified an acceptable five-factor structure by means of confirmatory factor analysis, but not through exploratory factor analysis, while <xref ref-type="bibr" rid="ref9">Brito-Costa et al. (2015)</xref> failed to establish a five-factor structure for POR-2.</p>
<p>For 3 of the 19 versions tested for structural validity (FRE in <xref ref-type="bibr" rid="ref71">Storme et al., 2016</xref>; IND in <xref ref-type="bibr" rid="ref2">Akhtar, 2018</xref>; and SPA-1 in <xref ref-type="bibr" rid="ref64">Romero et al., 2012</xref>), an acceptable five-factor structure was established, but only after making certain statistical adjustments. For instance, <xref ref-type="bibr" rid="ref71">Storme et al. (2016)</xref> were able to fit a five-factor structure through confirmatory factor analysis of FRE after adjusting the model by including residual covariances.</p>
<p>For six versions of the TIPI (CHI in <xref ref-type="bibr" rid="ref68">Shi et al., 2022</xref>; DUT-1 in <xref ref-type="bibr" rid="ref29">Hofmans et al., 2008</xref>; GER-1 in <xref ref-type="bibr" rid="ref28">Herzberg and Br&#x00E4;hler, 2006</xref>; HRV in <xref ref-type="bibr" rid="ref78">Vorkapic, 2016</xref>; ITA-1 in <xref ref-type="bibr" rid="ref12">Chiorri et al., 2015</xref>; and POR-1 in <xref ref-type="bibr" rid="ref10">Carvalho et al., 2012</xref>), attempts of establishing an acceptable five-factor structure failed.</p>
</sec>
<sec id="sec21">
<title>3.5. Internal consistency</title>
<p>Estimates of internal consistency for the TIPI versions are presented in <xref rid="tab7" ref-type="table">Table 7</xref>. A more detailed description is shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>.</p>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption>
<p>Internal consistency of the TIPI versions.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="3">E</th>
<th align="center" valign="top" colspan="3">A</th>
<th align="center" valign="top" colspan="3">C</th>
<th align="center" valign="top" colspan="3">ES</th>
<th align="center" valign="top" colspan="3">O</th>
<th align="center" valign="top" colspan="3">All five domains (<italic>M</italic>)</th>
</tr>
<tr>
<th align="left" valign="top">Version<xref rid="tfn10" ref-type="table-fn"><sup>a</sup></xref></th>
<th align="center" valign="top">&#x03B1;</th>
<th align="center" valign="top"><italic>r</italic></th>
<th align="center" valign="top">S-B</th>
<th align="center" valign="top">&#x03B1;</th>
<th align="center" valign="top"><italic>r</italic></th>
<th align="center" valign="top">S-B</th>
<th align="center" valign="top">&#x03B1;</th>
<th align="center" valign="top"><italic>r</italic></th>
<th align="center" valign="top">S-B</th>
<th align="center" valign="top">&#x03B1;</th>
<th align="center" valign="top"><italic>r</italic></th>
<th align="center" valign="top">S-B</th>
<th align="center" valign="top">&#x03B1;</th>
<th align="center" valign="top"><italic>r</italic></th>
<th align="center" valign="top">S-B</th>
<th align="center" valign="top">&#x03B1;</th>
<th align="center" valign="top"><italic>r</italic></th>
<th align="center" valign="top">S-B</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">ENG-1</td>
<td align="center" valign="top">0.68</td>
<td align="center" valign="top"><bold>0.58</bold></td>
<td align="center" valign="top">0.51</td>
<td align="center" valign="top">0.38</td>
<td align="center" valign="top">0.20</td>
<td align="center" valign="top">0.38</td>
<td align="center" valign="top">0.51</td>
<td align="center" valign="top">0.39</td>
<td align="center" valign="top">0.53</td>
<td align="center" valign="top">0.64</td>
<td align="center" valign="top">0.48</td>
<td align="center" valign="top">0.64</td>
<td align="center" valign="top">0.48</td>
<td align="center" valign="top">0.35</td>
<td align="center" valign="top">0.34</td>
<td align="center" valign="top">0.54</td>
<td align="center" valign="top">0.40</td>
<td align="center" valign="top">0.48</td>
</tr>
<tr>
<td align="left" valign="top">ENG-2</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.57</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.31</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.60</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.68</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.49</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.53</td>
</tr>
<tr>
<td align="left" valign="top">BEN</td>
<td align="center" valign="top">0.51</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.59</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.63</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.67</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.58</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.60</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">CAT</td>
<td align="center" valign="top">0.67</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.27</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.60</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.67</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.48</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.54</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">CHI</td>
<td align="center" valign="top"><bold>0.79</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top"><bold>0.79</bold></td>
<td align="center" valign="top">0.12</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.13</td>
<td align="center" valign="top">0.51</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.51</td>
<td align="center" valign="top">0.56</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.57</td>
<td align="center" valign="top">0.32</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.32</td>
<td align="center" valign="top">0.46</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.46</td>
</tr>
<tr>
<td align="left" valign="top">FRE</td>
<td align="center" valign="top">0.69</td>
<td align="center" valign="top"><bold>0.52</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.22</td>
<td align="center" valign="top">0.13</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.57</td>
<td align="center" valign="top">0.40</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.61</td>
<td align="center" valign="top">0.44</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.39</td>
<td align="center" valign="top">0.23</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.50</td>
<td align="center" valign="top">0.34</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">GER-1</td>
<td align="center" valign="top">0.24</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.33</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.52</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.54</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.41</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.41</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">GER-2</td>
<td align="center" valign="top">0.60</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.47</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.68</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.68</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.45</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.58</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">GER-3</td>
<td align="center" valign="top"><bold>0.71</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.54</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.67</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top"><bold>0.76</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.52</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.64</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">GEO</td>
<td align="center" valign="top"><bold>0.76</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.56</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.65</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.69</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.55</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.64</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">HRV</td>
<td align="center" valign="top">0.36</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.13</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.38</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.46</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.41</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.35</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">IND</td>
<td align="center" valign="top"><bold>0.71</bold></td>
<td align="center" valign="top"><bold>0.55</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.31</td>
<td align="center" valign="top">0.20</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.30</td>
<td align="center" valign="top">0.18</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.65</td>
<td align="center" valign="top">0.49</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.34</td>
<td align="center" valign="top">0.21</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.46</td>
<td align="center" valign="top">0.33</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">ITA-1</td>
<td align="center" valign="top">0.65</td>
<td align="center" valign="top">0.48</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.23</td>
<td align="center" valign="top">0.14</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.44</td>
<td align="center" valign="top">0.31</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.39</td>
<td align="center" valign="top">0.24</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">ITA-2</td>
<td align="center" valign="top">0.69</td>
<td align="center" valign="top"><bold>0.55</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.38</td>
<td align="center" valign="top">0.28</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.61</td>
<td align="center" valign="top">0.49</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.49</td>
<td align="center" valign="top">0.36</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.48</td>
<td align="center" valign="top">0.39</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.53</td>
<td align="center" valign="top">0.41</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">JPN</td>
<td align="center" valign="top">0.56</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.36</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.47</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.52</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.40</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.46</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">NOR</td>
<td align="center" valign="top"><bold>0.75</bold></td>
<td align="center" valign="top"><bold>0.61</bold></td>
<td align="center" valign="top"><bold>0.76</bold></td>
<td align="center" valign="top">0.35</td>
<td align="center" valign="top">0.22</td>
<td align="center" valign="top">0.36</td>
<td align="center" valign="top">0.61</td>
<td align="center" valign="top">0.47</td>
<td align="center" valign="top">0.64</td>
<td align="center" valign="top">0.62</td>
<td align="center" valign="top">0.47</td>
<td align="center" valign="top">0.64</td>
<td align="center" valign="top">0.41</td>
<td align="center" valign="top">0.27</td>
<td align="center" valign="top">0.41</td>
<td align="center" valign="top">0.55</td>
<td align="center" valign="top">0.41</td>
<td align="center" valign="top">0.56</td>
</tr>
<tr>
<td align="left" valign="top">PER</td>
<td align="center" valign="top">0.69</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.40</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.54</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.49</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.45</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.51</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">POL</td>
<td align="center" valign="top">0.54</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.41</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.67</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.45</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.42</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.50</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">POR-2</td>
<td align="center" valign="top"><bold>0.76</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.50</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.38</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.40</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.54</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.52</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">SPA-1</td>
<td align="center" valign="top">0.58</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.41</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.53</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.59</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.47</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.52</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">SPA-2</td>
<td align="center" valign="top">0.66</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.20</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.56</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.61</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.48</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.50</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">SPA-3</td>
<td align="center" valign="top">0.61</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.21</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.53</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.45</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.55</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.47</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">TUR</td>
<td align="center" valign="top"><bold>0.86</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top"><bold>0.81</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top"><bold>0.84</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top"><bold>0.86</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top"><bold>0.83</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top"><bold>0.84</bold></td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>M</italic>, all</td>
<td align="center" valign="top">0.64</td>
<td align="center" valign="top"><bold>0.55</bold></td>
<td align="center" valign="top">0.66</td>
<td align="center" valign="top">0.37</td>
<td align="center" valign="top">0.19</td>
<td align="center" valign="top">0.30</td>
<td align="center" valign="top">0.56</td>
<td align="center" valign="top">0.37</td>
<td align="center" valign="top">0.57</td>
<td align="center" valign="top">0.58</td>
<td align="center" valign="top">0.41</td>
<td align="center" valign="top">0.63</td>
<td align="center" valign="top">0.47</td>
<td align="center" valign="top">0.29</td>
<td align="center" valign="top">0.39</td>
<td align="center" valign="top">0.53</td>
<td align="center" valign="top">0.38</td>
<td align="center" valign="top">0.51</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>TIPI, Ten-Item Personality Inventory; E, extraversion; A, agreeableness; C, conscientiousness; ES, emotional stability; O, openness; <italic>M</italic>, mean; &#x03B1;, Cronbach&#x2019;s alpha; <italic>r</italic>, inter-item correlation; S-B, Spearman-Brown coefficient. All estimates are based on results reported in the included studies. Mean estimates are reported in instances where two or more studies have tested the version&#x2019;s internal consistency (see <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref> for details). Bold typeface indicates &#x03B1; &#x2265;0.70, <italic>r</italic>&#x2009;&#x2265;&#x2009;0.50 and S-B&#x2009;&#x2265;&#x2009;0.70.</p>
<fn id="tfn10">
<label>a</label>
<p>See <xref rid="tab3" ref-type="table">Table 3</xref> for details about versions/translations.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Of the 23 TIPI versions tested for internal consistency, only the Turkish version (TUR in <xref ref-type="bibr" rid="ref6">Atak, 2013</xref>) demonstrated acceptable consistency on all five dimensions, with &#x03B1; coefficients ranging from 0.81 to 0.86. The third German version (GER-3 in <xref ref-type="bibr" rid="ref67">Schult et al., 2019</xref>) showed acceptable internal consistency for two subscales (&#x03B1;<sub>E</sub>&#x2009;=&#x2009;0.71 and &#x03B1;<sub>ES</sub>&#x2009;=&#x2009;0.76), while eight versions reached an acceptable level on one subscale (E) (ENG-1 in <xref ref-type="bibr" rid="ref22">Ehrhart et al., 2009</xref>; CHI in <xref ref-type="bibr" rid="ref68">Shi et al., 2022</xref>; FRE in <xref ref-type="bibr" rid="ref71">Storme et al., 2016</xref>; GEO in <xref ref-type="bibr" rid="ref39">Martskvishvili et al., 2020</xref>; IND in <xref ref-type="bibr" rid="ref2">Akhtar, 2018</xref>; ITA-2 in <xref ref-type="bibr" rid="ref12">Chiorri et al., 2015</xref>; NOR in <xref ref-type="bibr" rid="ref73">Th&#x00F8;rrisen et al., 2021</xref>; and POR-2 in <xref ref-type="bibr" rid="ref51">Nunes et al., 2018</xref>). Thirteen of the 23 versions tested for internal consistency failed to demonstrate acceptable consistency on any subscale. Overall, taking all tested versions into account, the &#x03B1; coefficients were highest for E (0.64), followed by ES (0.58), C (0.56), O (0.47) and A (0.37). Across all subscales and tested versions, the average internal consistency for the TIPI was quite low (&#x03B1;&#x2009;=&#x2009;0.53; <italic>r</italic>&#x2009;=&#x2009;0.38; S-B&#x2009;=&#x2009;0.51).</p>
</sec>
<sec id="sec22">
<title>3.6. Test&#x2013;retest reliability</title>
<p>As shown in <xref rid="tab8" ref-type="table">Table 8</xref>, test&#x2013;retest reliability was tested for 17 versions of the TIPI. Details are presented in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S3</xref>.</p>
<table-wrap position="float" id="tab8">
<label>Table 8</label>
<caption>
<p>Test&#x2013;retest reliability of the TIPI versions.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Version<xref rid="tfn11" ref-type="table-fn"><sup>a</sup></xref></th>
<th align="center" valign="top">E <italic>r</italic></th>
<th align="center" valign="top">A <italic>r</italic></th>
<th align="center" valign="top">C <italic>r</italic></th>
<th align="center" valign="top">ES <italic>r</italic></th>
<th align="center" valign="top">O <italic>r</italic></th>
<th align="center" valign="top"><italic>M</italic>, all domains <italic>r</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">ENG-1</td>
<td align="center" valign="top"><bold>0.77</bold></td>
<td align="center" valign="top"><bold>0.71</bold></td>
<td align="center" valign="top"><bold>0.76</bold></td>
<td align="center" valign="top"><bold>0.70</bold></td>
<td align="center" valign="top"><bold>0.62</bold></td>
<td align="center" valign="top"><bold>0.71</bold></td>
</tr>
<tr>
<td align="left" valign="top">ENG-2</td>
<td align="center" valign="top"><bold>0.63</bold></td>
<td align="center" valign="top"><bold>0.57</bold></td>
<td align="center" valign="top"><bold>0.60</bold></td>
<td align="center" valign="top"><bold>0.63</bold></td>
<td align="center" valign="top"><bold>0.60</bold></td>
<td align="center" valign="top"><bold>0.61</bold></td>
</tr>
<tr>
<td align="left" valign="top">BEN</td>
<td align="center" valign="top"><bold>0.72</bold></td>
<td align="center" valign="top"><bold>0.82</bold></td>
<td align="center" valign="top"><bold>0.76</bold></td>
<td align="center" valign="top"><bold>0.54</bold></td>
<td align="center" valign="top"><bold>0.83</bold></td>
<td align="center" valign="top"><bold>0.73</bold></td>
</tr>
<tr>
<td align="left" valign="top">CAT</td>
<td align="center" valign="top"><bold>0.85</bold></td>
<td align="center" valign="top"><bold>0.69</bold></td>
<td align="center" valign="top"><bold>0.81</bold></td>
<td align="center" valign="top"><bold>0.82</bold></td>
<td align="center" valign="top"><bold>0.70</bold></td>
<td align="center" valign="top"><bold>0.77</bold></td>
</tr>
<tr>
<td align="left" valign="top">DUT-3</td>
<td align="center" valign="top"><bold>0.75</bold></td>
<td align="center" valign="top"><bold>0.58</bold></td>
<td align="center" valign="top"><bold>0.71</bold></td>
<td align="center" valign="top"><bold>0.73</bold></td>
<td align="center" valign="top"><bold>0.70</bold></td>
<td align="center" valign="top"><bold>0.69</bold></td>
</tr>
<tr>
<td align="left" valign="top">FRE<xref rid="tfn12" ref-type="table-fn"><sup>b</sup></xref></td>
<td align="center" valign="top"><bold>0.80</bold></td>
<td align="center" valign="top"><bold>0.65</bold></td>
<td align="center" valign="top"><bold>0.65</bold></td>
<td align="center" valign="top"><bold>0.73</bold></td>
<td align="center" valign="top"><bold>0.69</bold></td>
<td align="center" valign="top"><bold>0.70</bold></td>
</tr>
<tr>
<td align="left" valign="top">GER-1</td>
<td align="center" valign="top"><bold>0.83</bold></td>
<td align="center" valign="top"><bold>0.67</bold></td>
<td align="center" valign="top"><bold>0.83</bold></td>
<td align="center" valign="top"><bold>0.84</bold></td>
<td align="center" valign="top"><bold>0.65</bold></td>
<td align="center" valign="top"><bold>0.76</bold></td>
</tr>
<tr>
<td align="left" valign="top">IND</td>
<td align="center" valign="top"><bold>0.85</bold></td>
<td align="center" valign="top"><bold>0.79</bold></td>
<td align="center" valign="top"><bold>0.71</bold></td>
<td align="center" valign="top"><bold>0.74</bold></td>
<td align="center" valign="top"><bold>0.75</bold></td>
<td align="center" valign="top"><bold>0.77</bold></td>
</tr>
<tr>
<td align="left" valign="top">ITA-2</td>
<td align="center" valign="top"><bold>0.87</bold></td>
<td align="center" valign="top"><bold>0.81</bold></td>
<td align="center" valign="top"><bold>0.90</bold></td>
<td align="center" valign="top"><bold>0.79</bold></td>
<td align="center" valign="top"><bold>0.89</bold></td>
<td align="center" valign="top"><bold>0.85</bold></td>
</tr>
<tr>
<td align="left" valign="top">JPN<xref rid="tfn12" ref-type="table-fn"><sup>b</sup></xref></td>
<td align="center" valign="top"><bold>0.81</bold></td>
<td align="center" valign="top"><bold>0.72</bold></td>
<td align="center" valign="top"><bold>0.77</bold></td>
<td align="center" valign="top"><bold>0.78</bold></td>
<td align="center" valign="top"><bold>0.71</bold></td>
<td align="center" valign="top"><bold>0.76</bold></td>
</tr>
<tr>
<td align="left" valign="top">PER</td>
<td align="center" valign="top"><bold>0.94</bold><xref rid="tfn13" ref-type="table-fn"><sup><bold>c</bold></sup></xref>
</td>
<td align="center" valign="top"><bold>0.91</bold><xref rid="tfn13" ref-type="table-fn"><sup><bold>c</bold></sup></xref>
</td>
<td align="center" valign="top"><bold>0.84</bold><xref rid="tfn13" ref-type="table-fn"><sup><bold>c</bold></sup></xref>
</td>
<td align="center" valign="top"><bold>0.96</bold><xref rid="tfn13" ref-type="table-fn"><sup><bold>c</bold></sup></xref>
</td>
<td align="center" valign="top"><bold>0.94</bold><xref rid="tfn13" ref-type="table-fn"><sup><bold>c</bold></sup></xref>
</td>
<td align="center" valign="top"><bold>0.92</bold><xref rid="tfn13" ref-type="table-fn"><sup><bold>c</bold></sup></xref>
</td>
</tr>
<tr>
<td align="left" valign="top">POL</td>
<td align="center" valign="top"><bold>0.66</bold></td>
<td align="center" valign="top"><bold>0.74</bold></td>
<td align="center" valign="top"><bold>0.71</bold></td>
<td align="center" valign="top"><bold>0.66</bold></td>
<td align="center" valign="top"><bold>0.60</bold></td>
<td align="center" valign="top"><bold>0.67</bold></td>
</tr>
<tr>
<td align="left" valign="top">POR-2</td>
<td align="center" valign="top"><bold>0.90</bold></td>
<td align="center" valign="top"><bold>0.71</bold></td>
<td align="center" valign="top"><bold>0.82</bold></td>
<td align="center" valign="top"><bold>0.78</bold></td>
<td align="center" valign="top"><bold>0.83</bold></td>
<td align="center" valign="top"><bold>0.81</bold></td>
</tr>
<tr>
<td align="left" valign="top">SPA-1</td>
<td align="center" valign="top"><bold>0.79</bold></td>
<td align="center" valign="top"><bold>0.52</bold></td>
<td align="center" valign="top"><bold>0.69</bold></td>
<td align="center" valign="top"><bold>0.83</bold></td>
<td align="center" valign="top"><bold>0.78</bold></td>
<td align="center" valign="top"><bold>0.72</bold></td>
</tr>
<tr>
<td align="left" valign="top">SPA-2</td>
<td align="center" valign="top"><bold>0.81</bold></td>
<td align="center" valign="top"><bold>0.61</bold></td>
<td align="center" valign="top"><bold>0.77</bold></td>
<td align="center" valign="top"><bold>0.76</bold></td>
<td align="center" valign="top"><bold>0.72</bold></td>
<td align="center" valign="top"><bold>0.73</bold></td>
</tr>
<tr>
<td align="left" valign="top">SPA-3</td>
<td align="center" valign="top"><bold>0.55</bold></td>
<td align="center" valign="top"><bold>0.64</bold></td>
<td align="center" valign="top"><bold>0.78</bold></td>
<td align="center" valign="top"><bold>0.56</bold></td>
<td align="center" valign="top"><bold>0.59</bold></td>
<td align="center" valign="top"><bold>0.62</bold></td>
</tr>
<tr>
<td align="left" valign="top">TUR</td>
<td align="center" valign="top"><bold>0.88</bold></td>
<td align="center" valign="top"><bold>0.87</bold></td>
<td align="center" valign="top"><bold>0.87</bold></td>
<td align="center" valign="top"><bold>0.89</bold></td>
<td align="center" valign="top"><bold>0.89</bold></td>
<td align="center" valign="top"><bold>0.88</bold></td>
</tr>
<tr>
<td align="left" valign="top"><italic>M</italic>, all</td>
<td align="center" valign="top"><bold>0.78</bold></td>
<td align="center" valign="top"><bold>0.69</bold></td>
<td align="center" valign="top"><bold>0.76</bold></td>
<td align="center" valign="top"><bold>0.74</bold></td>
<td align="center" valign="top"><bold>0.72</bold></td>
<td align="center" valign="top"><bold>0.74</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>TIPI, Ten-Item Personality Inventory; E, extraversion; A, agreeableness; C, conscientiousness; ES, emotional stability; O, openness; <italic>r</italic>, Pearson correlation coefficient; <italic>M</italic>, mean. Bold typeface indicates <italic>r</italic>&#x2009;&#x2265;&#x2009;0.50 and ICC &#x2265;0.60.</p>
<fn id="tfn11">
<label>a</label>
<p>See <xref rid="tab3" ref-type="table">Table 3</xref> for details about versions.</p>
</fn>
<fn id="tfn12">
<label>b</label>
<p>Mean estimates based on two reliability tests (see <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S3</xref> for details).</p>
</fn>
<fn id="tfn13">
<label>c</label>
<p>Intraclass correlation coefficient (ICC), not included in mean estimates for all versions (<italic>M</italic>, all).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>All 17 versions demonstrated acceptable test&#x2013;retest reliability on all five dimensions (<italic>r</italic>&#x2009;&#x2265;&#x2009;0.50 or ICC &#x2265;0.60). Across all five dimensions, average correlation coefficients ranged from 0.61 for the second English version (ENG-2 in <xref ref-type="bibr" rid="ref20">DeBell et al., 2022</xref>) to 0.88 for the Turkish version (TUR in <xref ref-type="bibr" rid="ref6">Atak, 2013</xref>). Across all tested versions, test&#x2013;retest reliability was highest for the E subscale (<italic>r</italic>&#x2009;=&#x2009;0.78), and lowest for the A subscale (<italic>r</italic>&#x2009;=&#x2009;0.69).</p>
</sec>
<sec id="sec23">
<title>3.7. Summative evaluation of psychometric properties</title>
<p>A summative overview of psychometric properties associated with the identified TIPI versions is presented in <xref rid="tab9" ref-type="table">Table 9</xref>.</p>
<table-wrap position="float" id="tab9">
<label>Table 9</label>
<caption>
<p>Summative evaluation of psychometric properties of the TIPI versions.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="2">Validity</th>
<th align="center" valign="top" colspan="2">Reliability</th>
</tr>
<tr>
<th align="left" valign="top">Version<xref rid="tfn14" ref-type="table-fn"><sup>a</sup></xref></th>
<th align="center" valign="top">Con.<xref rid="tfn15" ref-type="table-fn"><sup>b</sup></xref></th>
<th align="center" valign="top">Str.<xref rid="tfn16" ref-type="table-fn"><sup>c</sup></xref></th>
<th align="center" valign="top">IC<xref rid="tfn17" ref-type="table-fn"><sup>d</sup></xref></th>
<th align="center" valign="top">T-R<xref rid="tfn18" ref-type="table-fn"><sup>e</sup></xref></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">ENG-1</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
</tr>
<tr>
<td align="left" valign="top">ENG-2</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
</tr>
<tr>
<td align="left" valign="top">BEN</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0002.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
</tr>
<tr>
<td align="left" valign="top">CAT</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
</tr>
<tr>
<td align="left" valign="top">CHI</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">DUT-1</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0002.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">DUT-2</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0002.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">DUT-3</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
</tr>
<tr>
<td align="left" valign="top">FRE</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0002.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
</tr>
<tr>
<td align="left" valign="top">GER-1</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
</tr>
<tr>
<td align="left" valign="top">GER-2</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0002.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">GER-3</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0002.tif"/>
</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">GEO</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">HRV</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">IND</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0002.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0002.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
</tr>
<tr>
<td align="left" valign="top">ITA-1</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">ITA-2</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
</tr>
<tr>
<td align="left" valign="top">JPN</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0002.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
</tr>
<tr>
<td align="left" valign="top">NOR</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">PER</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
</tr>
<tr>
<td align="left" valign="top">POL</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0002.tif"/>
</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
</tr>
<tr>
<td align="left" valign="top">POR-1</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">POR-2</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0002.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
</tr>
<tr>
<td align="left" valign="top">SPA-1</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0002.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0002.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
</tr>
<tr>
<td align="left" valign="top">SPA-2</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
</tr>
<tr>
<td align="left" valign="top">SPA-3</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0003.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
</tr>
<tr>
<td align="left" valign="top">TUR</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0002.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
<td align="center" valign="top">
<inline-graphic xlink:href="fpsyg-14-1202953-igr0001.tif"/>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn14">
<label>a</label>
<p>See <xref rid="tab3" ref-type="table">Table 3</xref> for details about versions.</p>
</fn>
<fn id="tfn15">
<label>b</label>
<p>Convergent validity, green indicator, acceptable convergent validity on all five subscales with at least one validated FFM instrument; yellow indicator, mixed results; red indicator, not acceptable convergent validity with any of the FFM instruments, neither separately on the subscales nor on average across subscales.</p>
</fn>
<fn id="tfn16">
<label>c</label>
<p>Structural validity, green indicator, all tests indicate factor solution in accordance with the FFM; yellow indicator, mixed results; red indicator, no test indicates factor solution in accordance with the FFM.</p>
</fn>
<fn id="tfn17">
<label>d</label>
<p>Internal consistency, green indicator, at least one acceptable measure of internal consistency on all five subscales separately; red indicator, no test indicates acceptable internal consistency, neither separately for the subscales nor on average across subscales.</p>
</fn>
<fn id="tfn18">
<label>e</label>
<p>Test-retest reliability, green indicator, acceptable test&#x2013;retest correlations separately on all five subscales and on average across subscales.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>None of the 27 TIPI versions identified in the 29 included studies demonstrated acceptable psychometric properties on all four aspects of validity and reliability. The original English version (ENG-1) and second Italian version (ITA-2) were acceptable with regard to all aspects except internal consistency. The Turkish version (TUR) showed acceptable structural validity, internal consistency and test&#x2013;retest reliability, but mixed results for convergent validity. The Bengali (BEN), French (FRE) and second Portuguese (POR-2) versions demonstrated acceptable convergent validity and test&#x2013;retest reliability, but mixed results for structural validity and inappropriate internal consistency. The Japanese version (JPN) was acceptable with regard to structural validity and test&#x2013;retest reliability, but showed mixed results for convergent validity and inappropriate internal consistency.</p>
</sec>
</sec>
<sec id="sec24" sec-type="discussions">
<title>4. Discussion</title>
<p>The aim of this scoping review was to generate an overview of different versions of the TIPI, and their psychometric properties in terms of two aspects of validity (convergent and structural) and two aspects of reliability (internal consistency and test&#x2013;retest reliability). A total of 27 TIPI versions were identified in 29 studies, covering 18 different languages. Across versions, and held up against conventional standards of psychometric properties, the TIPI has demonstrated acceptable test&#x2013;retest reliability, mixed results for convergent and structural validity, and inappropriate internal consistency.</p>
<p>The TIPI is a very brief instrument that intends to capture the breadth of the FFM personality dimensions by means of five subscales, each consisting of two items. It has been emphasized that such an instrument cannot be expected to excel in terms of psychometric properties such as structural validity and internal consistency (<xref ref-type="bibr" rid="ref27">Gosling et al., 2003</xref>). As noted by <xref ref-type="bibr" rid="ref12">Chiorri et al. (2015</xref>, p. 110), improved structural validity and internal consistency could quite easily have been achieved by including only &#x201C;items with a very high correlation (e.g., <italic>r</italic>&#x2009;&#x003E;&#x2009;0.70), which, given their unavoidable redundancy, would have undermined content coverage.&#x201D; Not surprisingly, of the 23 TIPI versions tested for internal consistency, only one version demonstrated acceptable consistency on all five FFM dimensions. It is noteworthy that the vast majority of tests of internal consistency in the included studies utilized Cronbach&#x2019;s &#x03B1;. Estimates of &#x03B1; are strongly influenced by the number of items in each subscale (<xref ref-type="bibr" rid="ref34">Kline, 2000</xref>), which is why authors have recommended application of S-B coefficients rather than &#x03B1; coefficients when exploring internal consistency of instruments with brief subscales (e.g., <xref ref-type="bibr" rid="ref23">Eisinga et al., 2013</xref>). On the other hand, the four TIPI versions actually explored with S-B coefficients did not stand out as substantially more or less internally consistent than those versions investigated by means of alpha (&#x03B1;) and Pearson (<italic>r</italic>) coefficients.</p>
<p>Although acceptable structural validity may not be expected for brief instruments aiming to maximize content coverage, five-factor structures theoretically corresponding with the FFM were identified for 8 of the 19 TIPI versions that were tested for structural validity. As such, some evidence of structural validity of the TIPI does exist, even though results were quite mixed across the different versions.</p>
<p>Given the TIPI&#x2019;s brevity (five two-item subscales) and purpose (maximization of content coverage across the FFM dimensions), the developers of the instrument emphasized the relevance and importance of convergent validity and test&#x2013;retest reliability when evaluating psychometric properties of the instrument (<xref ref-type="bibr" rid="ref26">Gosling, n.d.</xref>; <xref ref-type="bibr" rid="ref27">Gosling et al., 2003</xref>). All 17 versions that were tested for test&#x2013;retest reliability displayed acceptable temporal stability on all five FFM dimensions. Hence, this scoping review indicates evidence of acceptable test&#x2013;retest reliability of the TIPI. However, results for convergent validity were somewhat mixed. Overall, the TIPI displayed strongest convergence with the BFI, with 6 out of 9 tested versions indicating acceptable convergence on all five subscales. Only one version converged satisfactory with the NEO-PI-R on all five dimensions, and none of the tested TIPI versions displayed acceptable convergent validity with all five NEO-FFI dimensions. Still, mean convergences for all tested TIPI versions across all five dimensions reached acceptable levels of correlation (<italic>r</italic>&#x2009;&#x2265;&#x2009;0.50) with the BFI, the NEO-FFI, and the NEO-PI-R dimensions.</p>
<p>Given that the TIPI is generally not expected to reach conventional standards of internal consistency and structural validity, some authors have raised the issue of whether the TIPI should be conceptualized as a formative rather than a reflective measure (<xref ref-type="bibr" rid="ref49">Myszkowski et al., 2019</xref>). The TIPI, in line with other FFM instruments, is generally conceived as a reflective measure, i.e., as a measure consisting of items believed to be correlated and to constitute effects of common latent factors (<xref ref-type="bibr" rid="ref38">Markus and Borsboom, 2013</xref>). Alternatively, one may conceptualize the TIPI items as samples of particular behaviors rather than correlated effects of common factors, i.e., as a formative measure (<xref ref-type="bibr" rid="ref38">Markus and Borsboom, 2013</xref>). In an interesting study, <xref ref-type="bibr" rid="ref49">Myszkowski et al. (2019)</xref> subjected the TIPI to formative measurement evaluation, and concluded that such an approach could be more appropriate for the TIPI than a traditional reflective approach. On the other hand, being developed on the basis of reflective techniques such as exploratory factor analysis (<xref ref-type="bibr" rid="ref42">McCrae and John, 1992</xref>), one may argue that the FFM is reflective by nature, although the nature of the constructs being measured does not necessarily dictate the approach for instrument development and evaluation (<xref ref-type="bibr" rid="ref49">Myszkowski et al., 2019</xref>). Further exploration of the TIPI as a potentially formative measurement instrument constitutes a venue for future research.</p>
<p>It should be noted that psychometric shortcomings and variations across different versions of the TIPI may, at least partly, be traced to issues of language and translation procedures. Adequate translation of measurement instruments requires taking psychological, linguistic and cultural considerations into account, preferably within the frame of translation-backtranslation procedures (<xref ref-type="bibr" rid="ref76">van de Vijver and Hambleton, 1996</xref>; <xref ref-type="bibr" rid="ref77">van de Vijver and Tanzer, 2004</xref>). The included studies and the TIPI website generally provided scarce information about the translation procedures utilized when the non-English versions of the TIPI were developed. The overall pattern of results from psychometric testing did not differ considerably between English and non-English versions of the TIPI, indicating that item bias due to suboptimal translations may not have played an important role in explaining the psychometric shortcomings identified in this scoping review. However, in some of the included studies, poor item translation necessitated reformulation of items, resulting in two or more versions in the same language. For instance, when exploring the first Dutch version of the TIPI (DUT-1), <xref ref-type="bibr" rid="ref29">Hofmans et al. (2008)</xref> reported having to rephrase five of the items, resulting in a second Dutch version (DUT-2) that demonstrated more adequate psychometric properties.</p>
<p>In the original validation of the TIPI, the instrument&#x2019;s developers (<xref ref-type="bibr" rid="ref27">Gosling et al., 2003</xref>) stated that the TIPI demonstrated adequate psychometric properties and that it stood out as a reasonable proxy for more comprehensive FFM instruments in instances where brief measures are necessary to minimize participants&#x2019; response burden. The results of our current scoping review largely corroborates the developers&#x2019; initial conclusions. The TIPI stands out as a serviceable measure when researchers want to study personality as one among several constructs, and in instances where it may be appropriate to include individual differences simply as covariates or control variables. Consequently, the TIPI carries the benefit of making personality measurement available for a broad scope of studies, both within and beyond the field of psychology. However, use of the TIPI should be discouraged in studies that primarily aim to explore personality, due to the instrument&#x2019;s psychometric shortcomings (compared with more comprehensive FFM instruments), and due to the TIPI not being able to measure and distinguish between narrow facet-level constructs that underlie the five broad dimensions in the FFM.</p>
<p>Although this scoping review provides some evidence in favor of the TIPI, it must be noted that psychometric properties and extent of exploration of such properties, varied considerably between the 27 identified versions of the instrument. For some versions, only two psychometric domains were tested. For others, psychometric properties were tested in a single study only. Moreover, more than half of the studies included in this scoping review (15 of 29) were solely based on student samples, while general population samples were included in only 7 out of the 29 studies. Therefore, further psychometric research on the TIPI is warranted.</p>
<sec id="sec25">
<title>4.1. Methodological considerations</title>
<p>This scoping review is the first secondary research effort focusing on the TIPI. We were able to generate an overview of different versions of the instrument, and their psychometric properties. However, certain limitations should be taken into consideration when interpreting results from our review. Being conducted as a scoping review, we did not subject the included studies to quality assessment. Nor did we analyze results from included studies by means of meta-analyses or other sophisticated techniques usually applied in systematic reviews. Our aim was to scope the literature in order to provide overviews and simple syntheses of results. Such an approach is in line with methodological conventions for scoping reviews, and such reviews do not dictate the application of quality assessments or meta-analyses (<xref ref-type="bibr" rid="ref4">Arksey and O'Malley, 2005</xref>; <xref ref-type="bibr" rid="ref59">Pham et al., 2014</xref>; <xref ref-type="bibr" rid="ref48">Munn et al., 2018</xref>; <xref ref-type="bibr" rid="ref58">Peters et al., 2020</xref>).</p>
<p>Importantly, we cannot rule out having missed relevant validation studies for some TIPI versions, especially if such studies have been published in non-English languages and journals. It was beyond the scope of our review to identify and evaluate studies published in languages other than English. For instance, the TIPI website (<xref ref-type="bibr" rid="ref26">Gosling, n.d.</xref>) indicates that the TIPI has been translated into at least 26 different languages, while our scoping review identified studies relating to 18 different languages. It may be that the remaining translations have in fact not been subjected to psychometric testing, or alternatively that test results have been published in non-English articles or in articles that did not specify psychometric testing as a study aim. We encourage researchers to publish their work in English, even though they explore non-English versions of a measurement instrument. By doing this, their work will be readily available for an international audience, enabling secondary research efforts to take international versions into account when exploring psychometric properties of an instrument.</p>
</sec>
</sec>
<sec id="sec26" sec-type="conclusions">
<title>5. Conclusion</title>
<p>As the first secondary research effort focusing on the TIPI, this scoping review explored 27 versions of the instrument across 29 studies, covering 18 different languages. Being a brief instrument, the TIPI is indeed characterized by certain psychometric shortcomings. However, this scoping review supports that the TIPI may represent a feasible compromise in instances where it is necessary to strike a balance between maximizing psychometric properties and minimizing survey length. In particular, the TIPI stands out as a serviceable option when researchers want to study personality as one among several constructs, and in instances where it is appropriate to include individual differences simply as covariates or control variables.</p>
</sec>
<sec id="sec27">
<title>Author contributions</title>
<p>This study was designed by MT and TS. MT analyzed the data and drafted the manuscript. Study selection and data extraction were performed by MT and TS. TS provided scientific input to the different drafts and provided data interpretation. MT and TS made critical revisions and provided intellectual content to the manuscript, approved the final version to be published, and agreed to be accountable for all aspects of this work. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="sec29" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1202953/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1202953/full#supplementary-material</ext-link></p>
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<fn-group>
<fn id="fn0003">
<p><sup>1</sup>Emotional stability (ES) is often oppositely termed neuroticism (N).</p>
</fn>
</fn-group>
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</article>