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<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.2025.1539693</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Reliability and validity of the Chinese version of the retrospective family unpredictability scale</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Qi</surname> <given-names>Wei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Xing</surname> <given-names>Chumeng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Ding</surname> <given-names>Luojin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname> <given-names>Jingli</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2913571/overview"/>
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<contrib contrib-type="author">
<name><surname>Guo</surname> <given-names>Dong</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Xu</surname> <given-names>Yiye</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Psychology, Zhejiang Sci-Tech University, Hangzhou</institution>, <addr-line>Zhejiang</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>School of Marxism, Beijing Institute of Fashion Technology</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Mental Health Education and Counseling Center, Shanghai University of Medicine and Health Sciences</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Institute of Sociology, Shanghai Academy of Social Sciences</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Gomaa Said Mohamed Abdelhamid, College of Applied Sciences, Rustaq, Oman</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Ekachaeryanti Zain, Niigata University Graduate School of Medical and Dental Sciences, Japan</p>
<p>Mai Helmy, Sultan Qaboos University, Oman</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Jingli Wang <email>wangjingli_100&#x00040;163.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>31</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1539693</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>12</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2025 Qi, Xing, Ding, Wang, Guo and Xu.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Qi, Xing, Ding, Wang, Guo and Xu</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>Objective</title>
<p>This study aimed to revise the Chinese version of the Retrospective Family Unpredictability Scale (Retro-FUS-C) and evaluate its psychometric properties.</p>
</sec>
<sec>
<title>Methods</title>
<p>Two independent samples were collected through convenience sampling. Sample 1 (<italic>N</italic> = 277) was used for item analysis, parallel analysis, and exploratory factor analysis. Sample 2 (<italic>N</italic> = 612) was used to conduct confirmatory factor analysis, assess internal consistency, and examine criterion-related validity.</p>
</sec>
<sec>
<title>Results</title>
<p>The revised Retro-FUS-C retained 18 items and identified a three-factor structure: parental discipline, maternal nurturance, and paternal nurturance. Confirmatory factor analysis supported the three-factor model with good model fit, and measurement invariance across gender was supported. Internal consistency was satisfactory (Cronbach&#x00027;s &#x003B1; = 0.76-&#x02212;0.90; McDonald&#x00027;s &#x003C9; = 0.85&#x02212;0.95). Significant correlations with external measures supported criterion-related validity.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The Retro-FUS-C provides a reliable and culturally appropriate tool for assessing retrospective family unpredictability among Chinese young adults, with potential utility in identifying individuals at risk for later psychological difficulties and informing prevention and intervention efforts.</p>
</sec></abstract>
<kwd-group>
<kwd>retrospective family unpredictability</kwd>
<kwd>Chinese version</kwd>
<kwd>revision</kwd>
<kwd>reliability</kwd>
<kwd>validity</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="62"/>
<page-count count="11"/>
<word-count count="8090"/>
</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="s1">
<title>1 Introduction</title>
<p>The unpredictability in the early life environment significantly impacts an individual&#x00027;s physical and psychological development. According to life history theory, individuals assess the harshness (danger or poverty) and unpredictability of their early environments to forecast future survival or reproductive conditions, and adjust their psychological and behavioral strategies accordingly to enhance fitness (Belsky et al., <xref ref-type="bibr" rid="B5">2012</xref>; Doom et al., <xref ref-type="bibr" rid="B17">2016</xref>; Ellis et al., <xref ref-type="bibr" rid="B19">2009</xref>; Maner et al., <xref ref-type="bibr" rid="B38">2023</xref>). Family unpredictability represents a critical aspect of early environmental unpredictability. It is defined as inconsistent family behavioral patterns and regulatory systems, in which parents are unable or unwilling to consistently fulfill caregiving responsibilities (e.g., providing emotional support and comfort) or maintain predictable disciplinary practices (e.g., punishment without misbehavior) (Ross and Hill, <xref ref-type="bibr" rid="B47">2000</xref>). Disparities in family unpredictability can lead to differences in cognitive and behavioral patterns. Individuals exposed to high family unpredictability often develop the belief that the world is chaotic and unreliable, leading them to allocate resources to the present rather than the future, resulting in increased risk-taking behaviors (Griskevicius et al., <xref ref-type="bibr" rid="B24">2013</xref>). Such behavioral adaptations, while potentially functional in unstable environments, are also associated with negative physical and mental health outcomes (Qi et al., <xref ref-type="bibr" rid="B43">2024</xref>; Ross et al., <xref ref-type="bibr" rid="B49">2016</xref>). Therefore, accurately assessing family unpredictability is essential for understanding individual psychological functioning, behavioral tendencies, and health risks.</p>
<p>Existing research primarily measures early life environmental unpredictability using retrospective self-report questionnaires (Mittal et al., <xref ref-type="bibr" rid="B42">2015</xref>; Young et al., <xref ref-type="bibr" rid="B62">2018</xref>). For example, Mittal et al. developed three items to assess the level of chaos in early life environments. These brief scales have been widely applied and have shown good reliability (Chen and Kruger, <xref ref-type="bibr" rid="B10">2017</xref>; Feng et al., <xref ref-type="bibr" rid="B20">2023</xref>), yet they have not undergone systematic validation. Moreover, they primarily assess general environmental chaos, rather than the specific and multifaceted nature of family unpredictability. Ross and Hill (<xref ref-type="bibr" rid="B47">2000</xref>) developed the Family Unpredictability Scale (FUS) to assess the degree of inconsistency in family behavioral patterns and regulatory systems. It consists of 22 items and comprises four factors: discipline, nurturance, meals, and money. The discipline factor (7 items) reflects inconsistency in establishing and maintaining rules; the nurturance factor (7 items) reflects parental inconsistency in offering comfort, protection, care, and emotional support during stressful situations; the meals factor (5 items) reflects uncertain meal times and companions; the money factor (3 items) reflects economic instability. The scale demonstrated good reliability and validity, and has been well validated in North American populations (Ross and Hill, <xref ref-type="bibr" rid="B48">2004</xref>).</p>
<p>The FUS is a parent self-report scale that measures parents&#x00027; perceptions of family unpredictability and is commonly used to examine its effects on child development. To more accurately assess the impact of early family unpredictability on adult outcomes, it is essential for adults to report their childhood experiences retrospectively. To this end, Ross and McDuff (<xref ref-type="bibr" rid="B50">2008</xref>) developed the Retrospective Family Unpredictability Scale (Retro-FUS), which asks participants to recall their perceptions of family unpredictability before age 18. Initial validation of the scale was conducted with a sample of 416 college students (aged 18&#x02013;39, <italic>M</italic> = 19.86, <italic>SD</italic> = 2.39). Confirmatory factor analysis supported a six-factor model comprising 28 items, including meals (5 items), money (3 items), mom discipline (4 items), dad discipline (4 items), mom nurturance (6 items), and dad nurturance (6 items), with correlated errors specified for similar mom and dad items related to nurturance and discipline. The internal consistency of the subscales ranges from 0.71 to 0.84. Retro-FUS is a widely used and well-validated measure of family unpredictability in Western contexts, with strong evidence supporting its reliability and validity (Kolak et al., <xref ref-type="bibr" rid="B33">2018</xref>; Luo et al., <xref ref-type="bibr" rid="B36">2022</xref>; Ross et al., <xref ref-type="bibr" rid="B49">2016</xref>; Ross and Wynne, <xref ref-type="bibr" rid="B51">2010</xref>).</p>
<p>Due to potential cultural differences, the concept of family unpredictability may not generalize across cultures. Alarc&#x000E3;o and Gaspar (<xref ref-type="bibr" rid="B2">2007</xref>) examined the FUS in a Portuguese sample of 514 mothers of children and adolescents aged 2 to 18. Although the revised structure was consistent with the original FUS, the internal consistency of the meal dimension was low (&#x003B1; = 0.55), raising concerns about cross-cultural applicability. To our knowledge, no studies have revised the retrospective version of the scale (Retro-FUS). However, Howat-Rodrigues et al. (<xref ref-type="bibr" rid="B29">2012</xref>) developed a Brazilian instrument based on the Retro-FUS and other local measures, titled <italic>Imprevisibilidade Familiar na Inf&#x000E2;ncia</italic> (EIFI), a 27-item scale rated on a 5-point Likert scale. Exploratory factor analysis yielded four factors: care/support, money, meals, and discipline, though discipline items cross-loaded onto the care dimension. In 2014, further validation supported a three-factor model comprising nurturance, money, and meals, which explained 53.37% of the variance (Howat-Rodrigues and Tokumaru, <xref ref-type="bibr" rid="B30">2014</xref>). These findings underscore the importance of considering cultural context when measuring family unpredictability, regardless of whether it is assessed retrospectively or in the present, and suggest that directly applying Western-developed scales in China may pose risks in terms of item relevance and structural validity.</p>
<p>Currently, no studies in China have developed or revised tools for measuring family unpredictability. Despite the growing interest in understanding how family unpredictability influences psychological and behavioral outcomes, many researchers have directly adopted Western-developed instruments without formal validation. For example, Luo et al. (<xref ref-type="bibr" rid="B36">2022</xref>) employed the Environmental Unpredictability Questionnaire (Mittal et al., <xref ref-type="bibr" rid="B42">2015</xref>) and the Family Unpredictability Scale (FUS; Ross and Hill, <xref ref-type="bibr" rid="B47">2000</xref>) to examine the relationship between early environmental unpredictability and adult overeating. However, only six FUS items were used, excluding those related to meals and money, possibly reflecting cultural differences. These practices raise concerns about cultural applicability and psychometric soundness in China.</p>
<p>Significant differences in dietary practices, financial behavior, and family structures make it difficult to apply Western-developed questionnaires to the Chinese context directly. In terms of dietary norms, Chinese culture places greater emphasis on dining etiquette and shared experiences. In financial behavior, Chinese families tend to prioritize saving, while Western cultures are more inclined toward anticipatory consumption. For instance, China has one of the highest household savings rates globally (Song et al., <xref ref-type="bibr" rid="B54">2021</xref>), yet its credit participation remains relatively low, with only 28% to 32% of households using credit between 2007 and 2016, compared to 74% to 78% in the United States (Survey and Research Center for China Household Finance and Ant Group Research Institute, <xref ref-type="bibr" rid="B55">2019</xref>). Regarding family structures, China&#x00027;s long-standing family planning policies have resulted in smaller household sizes. According to the recent Chinese General Social Survey (<xref ref-type="bibr" rid="B13">2021</xref>), 78.9% of families have only one or two children. In contrast, Western families typically have more children, which require parents to distribute their attention and resources more broadly. Such differences in family size and structure inevitably shape child-rearing practices and parental behavior. Given these cultural differences, it is necessary to revise the Chinese version of the Retro-FUS and evaluate its psychometric properties to ensure its suitability for the Chinese context.</p>
<p>This study aims to evaluate the psychometric properties of the Retro-FUS-C through a two-phase design. First, the original Retro-FUS was translated into Chinese, and exploratory factor analysis (EFA) was conducted on a sample of Chinese adults to examine item characteristics and underlying factor structure. Second, confirmatory factor analysis and reliability testing were conducted with an independent sample to confirm the factor structure and internal consistency. We also tested the measurement invariance for gender. Based on prior research linking childhood environmental unpredictability and harshness to adult attachment styles and psychological outcomes (Ellis et al., <xref ref-type="bibr" rid="B19">2009</xref>; Ross et al., <xref ref-type="bibr" rid="B49">2016</xref>; Ross and McDuff, <xref ref-type="bibr" rid="B50">2008</xref>), we further examined correlations between the Retro-FUS-C, childhood socioeconomic status, neighborhood danger, adult attachment dimensions, and depressive symptoms.</p>
</sec>
<sec id="s2">
<title>2 Method</title>
<sec>
<title>2.1 Participants</title>
<p>This study was conducted in accordance with the ethical principles of the Declaration of Helsinki and was approved by Zhejiang Sci-Tech University Psychology Research Ethics Committee (No. 202211P001). Prior to participation, all participants provided informed consent online after being fully informed of the study&#x00027;s purpose, procedures, and potential risks.</p>
<p>Participants were recruited via convenience sampling from participant pools at two universities in Zhejiang and Shanghai, using Questionnaire Star (<ext-link ext-link-type="uri" xlink:href="https://www.wjx.cn">https://www.wjx.cn</ext-link>), a widely used online survey platform in mainland China. These pools included participants from various family backgrounds, geographic regions, and socioeconomic levels across China. Although university-based, this sampling approach ensured heterogeneity and supports preliminary generalizability.</p>
<p>Two independent samples were collected. Sample 1 included 277 participants (40.1% male; age range = 18&#x02013;28 years, <italic>M</italic> = 20.90, <italic>SD</italic> = 2.23) and was used for item analysis, parallel analysis, and exploratory factor analysis. Sample 2 included 612 participants (57.7% male; age range = 18&#x02013;47 years, <italic>M</italic> = 20.56, <italic>SD</italic> = 2.82) and was used for confirmatory factor analysis, reliability analysis, and criterion-related validity testing. Data were collected at &#x0007E;2-week intervals, with exclusion criteria including age under 18 and invalid responses (e.g., patterned answers). Participants also reported demographic information, including gender, family residence (urban/rural), only-child status, and monthly per capita family income. Descriptive statistics are presented in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Demographic characteristics of participants (<italic>N</italic> = 889).</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left" rowspan="2"><bold>Demographic characteristic</bold></th>
<th valign="top" align="center" rowspan="2"><bold>Code</bold></th>
<th valign="top" align="center" colspan="2"><bold>Sample A (</bold><italic><bold>N</bold></italic> = <bold>277)</bold></th>
<th valign="top" align="center" colspan="2"><bold>Sample B (</bold><italic><bold>N</bold></italic> = <bold>612)</bold></th>
</tr>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="center"><italic><bold>N</bold></italic></th>
<th valign="top" align="center"><bold>%</bold></th>
<th valign="top" align="center"><italic><bold>N</bold></italic></th>
<th valign="top" align="center"><bold>%</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>Gender</bold></td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">111</td>
<td valign="top" align="center">40.07</td>
<td valign="top" align="center">353</td>
<td valign="top" align="center">57.68</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">166</td>
<td valign="top" align="center">59.93</td>
<td valign="top" align="center">259</td>
<td valign="top" align="center">42.32</td>
</tr>
<tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>Family residence location</bold></td>
</tr>
<tr>
<td valign="top" align="left">Urban</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">171</td>
<td valign="top" align="center">61.73</td>
<td valign="top" align="center">394</td>
<td valign="top" align="center">64.38</td>
</tr>
<tr>
<td valign="top" align="left">Rural</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">106</td>
<td valign="top" align="center">38.27</td>
<td valign="top" align="center">218</td>
<td valign="top" align="center">35.62</td>
</tr>
<tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>Only-child status</bold></td>
</tr>
<tr>
<td valign="top" align="left">One child</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">130</td>
<td valign="top" align="center">46.93</td>
<td valign="top" align="center">309</td>
<td valign="top" align="center">50.49</td>
</tr>
<tr>
<td valign="top" align="left">With siblings</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">147</td>
<td valign="top" align="center">53.07</td>
<td valign="top" align="center">303</td>
<td valign="top" align="center">49.51</td>
</tr>
<tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="6"><bold>Per capita family income monthly (RMB)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A5;0&#x02013;2,500</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">4.33</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">2.61</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A5;2,501&#x02013;7,500</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">64</td>
<td valign="top" align="center">23.10</td>
<td valign="top" align="center">149</td>
<td valign="top" align="center">24.34</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A5;7,501&#x02013;12,500</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">82</td>
<td valign="top" align="center">29.60</td>
<td valign="top" align="center">218</td>
<td valign="top" align="center">35.62</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A5;12,501&#x02013;17,500</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">19.86</td>
<td valign="top" align="center">130</td>
<td valign="top" align="center">21.24</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A5;17,501&#x02013;22,500</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">9.39</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">8.82</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A5;22,500</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">13.72</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">7.35</td>
</tr></tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>2.2 Measures</title>
<sec>
<title>2.2.1 Retrospective family unpredictability scale</title>
<p>The Retrospective Family Unpredictability Scale (Retro-FUS) was developed by Ross and McDuff (<xref ref-type="bibr" rid="B50">2008</xref>) to assess perceived unpredictability in the family environment before the age of 18. The original scale consists of 28 items rated on a 5-point Likert scale ranging from 1 (not at all) to 5 (extremely), covering six dimensions: dad nurturance, mom nurturance, dad discipline, mom discipline, meals, and money. Items 1, 2, 3, 4, 5, 8, 9, 12, 13, 14, 17, 18, 19, 22, and 23 are reverse-scored. After reverse scoring, higher total scores reflect greater perceived family unpredictability.</p>
<p>After being authorized by the original developers, the scale was translated into Chinese by a Ph.D. in psychology and then back-translated into English by bilingual researchers with backgrounds in psychology. Five rounds of expert group discussions were conducted to ensure semantic and conceptual equivalence, reaching consensus. Additionally, 10 college students completed the Retro-FUS-C to verify its clarity and readability.</p>
</sec>
<sec>
<title>2.2.2 Childhood socioeconomic status scale</title>
<p>The Childhood Socioeconomic Status Scale (CSES), developed by Griskevicius et al. (<xref ref-type="bibr" rid="B24">2013</xref>), consists of three items rated on a 7-point Likert scale (1 = strongly disagree, 7 = strongly agree). Total scores range from 3 to 21, with higher scores indicating higher perceived childhood socioeconomic status. The Cronbach&#x00027;s &#x003B1; in the current study was 0.88.</p>
</sec>
<sec>
<title>2.2.3 Adult attachment scale</title>
<p>This study employed the Chinese version of the Adult Attachment Scale (AAS; Wu and Fang, <xref ref-type="bibr" rid="B59">2004</xref>), which is based on the original scale developed by Collins and Read (<xref ref-type="bibr" rid="B15">1990</xref>). The AAS includes three subscales: Close, Depend, and Anxiety, each rated on a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). Higher Close scores reflect greater comfort with intimacy; higher Depend scores reflect a stronger tendency to rely on others when needed; and higher Anxiety scores reflect higher levels of worry about being rejected or unloved. In the current study, Cronbach&#x00027;s &#x003B1; coefficients for the three subscales were as follows: Close (&#x003B1; = 0.74), Depend (&#x003B1; = 0.60), and Anxiety (&#x003B1; = 0.89).</p>
</sec>
<sec>
<title>2.2.4 Center for epidemiologic studies depression scale</title>
<p>The Center for Epidemiologic Studies Depression Scale (CES-D; Radloff, <xref ref-type="bibr" rid="B45">1977</xref>) is a 20-item self-report measure developed by the National Institutes of Health to assess depressive symptoms in the general population. Participants rated the frequency of symptoms experienced during the past week on a 4-point scale ranging from 1 (rarely or none of the time, &#x0003C; 1 day) to 4 (most or all of the time, 5&#x02013;7 days). Higher total scores indicate greater levels of depressive symptoms (Ross et al., <xref ref-type="bibr" rid="B46">2022</xref>). The Cronbach&#x00027;s &#x003B1; of this study was 0.94.</p>
</sec>
<sec>
<title>2.2.5 Neighborhood danger</title>
<p>A single item assessing neighborhood danger was included in the survey: &#x0201C;Which best describes the neighborhood where you lived the longest?&#x0201D; Responses were rated on a 5-point Likert-type scale, with 1 indicating &#x0201C;very unsafe with very high crime&#x0201D; and 5 indicating &#x0201C;very safe with very low crime&#x0201D; (Ross and McDuff, <xref ref-type="bibr" rid="B50">2008</xref>).</p>
</sec>
</sec>
<sec>
<title>2.3 Data analysis</title>
<p>Data were analyzed using SPSS 25.0, AMOS 24.0, and R 4.2.1 (R Core Team, <xref ref-type="bibr" rid="B44">2022</xref>). Participants were divided into two groups. Sample 1 was used for item analysis, followed by parallel analysis (PA) to determine the number of common factors, and then exploratory factor analysis (EFA) using SPSS 25.0 (Messick, <xref ref-type="bibr" rid="B40">2000</xref>). Sample 2 was used for confirmatory factor analysis (CFA) to examine structural validity using AMOS 24.0. Model fit was evaluated using standard indices. The chi-square statistic (&#x003C7;<sup>2</sup>) assesses overall model fit but is sensitive to sample size; therefore, &#x003C7;<sup>2</sup>/df &#x0003C; 5 was used as a criterion for acceptable fit. Comparative fit index and Tucker-Lewis index (CFI; TLI; &#x02265; 0.90 acceptable, &#x02265; 0.95 good) compare the proposed model to a baseline model, with higher values indicating better relative fit. Root mean square error of approximation (RMSEA; &#x02264; 0.06 good, &#x02264; 0.08 acceptable) estimates error per degree of freedom, and standardized root mean square residual (SRMR; &#x02264; 0.08) reflects the average residual between observed and predicted correlations (Hu and Bentler, <xref ref-type="bibr" rid="B31">1999</xref>). Measurement invariance across gender was tested using multi-group confirmatory factor analysis (MG-CFA) at the configural, metric, scalar, and strict levels. Invariance was considered acceptable if the change in model fit met the recommended thresholds (&#x00394;CFI &#x0003C; 0.01; &#x00394;RMSEA &#x0003C; 0.015; Chen, <xref ref-type="bibr" rid="B11">2007</xref>). Internal consistency reliability was assessed using Cronbach&#x00027;s alpha (&#x003B1;), calculated in SPSS, and McDonald&#x00027;s omega (&#x003C9;), along with its 95% confidence interval, computed in R 4.2.1. Values of &#x003B1; or &#x003C9; &#x02265; 0.70 were considered acceptable, and &#x02265; 0.80 indicated good reliability (DeVon et al., <xref ref-type="bibr" rid="B16">2007</xref>; Hayes and Coutts, <xref ref-type="bibr" rid="B27">2020</xref>). Criterion-related validity was assessed through correlation analysis using SPSS 25.0.</p>
</sec>
</sec>
<sec id="s3">
<title>3 Result</title>
<sec>
<title>3.1 Item analysis</title>
<p>First, item analysis was conducted on the original Retro-FUS. Items 1, 2, 3, 4, 5, 8, 9, 12, 13, 14, 17, 18, 19, and 23 were reverse-coded. We then calculated the corrected item-total correlation (CITC), which reflects the correlation between each item and the total score of the remaining items in the same subscale (Chen et al., <xref ref-type="bibr" rid="B12">2015</xref>). After four iterations, seven items with low CITC (<italic>r</italic> &#x0003C; 0.3) were deleted (Chen et al., <xref ref-type="bibr" rid="B12">2015</xref>), i.e., item 6 (0.27), item 24 (0.21), item 27 (0.26), item 7 (0.28), item 17 (0.29), item 3 (0.24), item 28 (<italic>r</italic> = 0.30, rounded from 0.298). The remaining 21 items in the scale all had acceptable CITC (0.31 to 0.56). We also calculated the item-total correlation (ITC), defined as the correlation between each item and the overall total score (Hao and Hong, <xref ref-type="bibr" rid="B26">2014</xref>), which ranged from 0.39 to 0.56 (<italic>p</italic> &#x0003C; 0.01). To further test item discrimination, the top and bottom 27% of scorers were compared using independent-samples <italic>t</italic>-tests, and all items showed significant group differences (<italic>p</italic> &#x0003C; 0.05).</p>
</sec>
<sec>
<title>3.2 Exploratory factor analysis</title>
<p>Before conducting exploratory factor analysis (EFA), we assessed data suitability. The KMO value was 0.71 (&#x0003E;0.60; Kaiser, <xref ref-type="bibr" rid="B32">1974</xref>) and Bartlett&#x00027;s test was significant (&#x003C7;<sup>2</sup> = 2,849.36, <italic>p</italic> &#x0003C; 0.001; Bartlett, <xref ref-type="bibr" rid="B4">1954</xref>), supporting factorability. Parallel analysis supported a three-factor structure. EFA was conducted using principal component extraction with varimax rotation. Item 12 was removed due to low factor loading (&#x0003C; 0.40; Hair et al., <xref ref-type="bibr" rid="B25">2010</xref>), and items 8 and 9 were removed because they loaded on the same factor, leading to conceptual overlap between maternal and paternal nurturance. The final three-factor model explained 53.26% of the total variance, with all retained items loading strongly (&#x0003E;0.50) on their respective factors without significant cross-loadings. The three factors were: (1) Parental discipline: reflecting inconsistency in establishing and maintaining rules by both parents. (2) Maternal nurturance: reflecting inconsistency in the mother&#x00027;s responsiveness to the child&#x00027;s needs. (3) Paternal nurturance: reflecting inconsistency in the father&#x00027;s responsiveness to the child&#x00027;s needs (see <xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Results of exploratory factor analysis for the Retro-FUS-C (<italic>N</italic> = 277).</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left" rowspan="2"><bold>Items</bold></th>
<th valign="top" align="center" colspan="3"><bold>Factor load</bold></th>
</tr>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="center"><bold>1</bold></th>
<th valign="top" align="center"><bold>2</bold></th>
<th valign="top" align="center"><bold>3</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">20. Whether or not my mom disciplined me when I acted up depended on her mood at the time.<break/> 20. &#x05728;&#x06211;&#x08C03;&#x076AE;&#x065F6;&#x05988;&#x05988;&#x0662F;&#x05426;&#x07BA1;&#x06559;&#x06211;&#x053D6;&#x051B3;&#x04E8E;&#x05979;&#x05F53;&#x065F6;&#x07684;&#x05FC3;&#x060C5;&#x03002;</td>
<td valign="top" align="center">0.76</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">21. Whether or not my dad disciplined me when I acted up depended on his mood at the time.<break/> 21. &#x05728;&#x06211;&#x08C03;&#x076AE;&#x065F6;&#x07238;&#x07238;&#x0662F;&#x05426;&#x07BA1;&#x06559;&#x06211;&#x053D6;&#x051B3;&#x04E8E;&#x04ED6;&#x05F53;&#x065F6;&#x07684;&#x05FC3;&#x060C5;&#x03002;</td>
<td valign="top" align="center">0.75</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">10. How my mom acted in a specific situation depended on her mood.<break/> 10. &#x06211;&#x05988;&#x05988;&#x05728;&#x07279;&#x05B9A;&#x060C5;&#x051B5;&#x04E0B;&#x07684;&#x0884C;&#x04E3A;&#x053D6;&#x051B3;&#x04E8E;&#x05979;&#x07684;&#x060C5;&#x07EEA;&#x03002;</td>
<td valign="top" align="center">0.72</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">11. How my dad acted in a specific situation depended on his mood.<break/> 11. &#x06211;&#x07238;&#x07238;&#x05728;&#x07279;&#x05B9A;&#x060C5;&#x051B5;&#x04E0B;&#x07684;&#x0884C;&#x04E3A;&#x053D6;&#x051B3;&#x04E8E;&#x04ED6;&#x07684;&#x060C5;&#x07EEA;&#x03002;</td>
<td valign="top" align="center">0.67</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">16. Sometimes my dad yelled at me without thinking about what he was saying.<break/> 16. &#x06709;&#x065F6;&#x06211;&#x07238;&#x07238;&#x04E0D;&#x05047;&#x0601D;&#x07D22;&#x05730;&#x05BF9;&#x06211;&#x05927;&#x0558A;&#x05927;&#x053EB;&#x03002;</td>
<td valign="top" align="center">0.67</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">15. Sometimes my mom yelled at me without thinking about what she was saying.<break/> 15. &#x06709;&#x065F6;&#x06211;&#x05988;&#x05988;&#x04E0D;&#x05047;&#x0601D;&#x07D22;&#x05730;&#x05BF9;&#x06211;&#x05927;&#x0558A;&#x05927;&#x053EB;&#x03002;</td>
<td valign="top" align="center">0.66</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">25. How my mom would act from one situation to another was unpredictable.<break/> 25. &#x06211;&#x065E0;&#x06CD5;&#x09884;&#x06599;&#x06211;&#x05988;&#x05988;&#x05728;&#x04E0D;&#x0540C;&#x060C5;&#x05883;&#x091CC;&#x07684;&#x0884C;&#x04E3A;&#x03002;</td>
<td valign="top" align="center">0.61</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">26. How my mom would act from one situation to another was unpredictable.<break/> 26. &#x06211;&#x065E0;&#x06CD5;&#x09884;&#x06599;&#x06211;&#x07238;&#x07238;&#x05728;&#x04E0D;&#x0540C;&#x060C5;&#x05883;&#x091CC;&#x07684;&#x0884C;&#x04E3A;&#x03002;</td>
<td valign="top" align="center">0.59</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">13. When I got my feelings hurt, I went to my mom for comfort.<break/> 13. &#x06211;&#x04F24;&#x05FC3;&#x065F6;&#x04F1A;&#x0627E;&#x05988;&#x05988;&#x05BFB;&#x06C42;&#x05B89;&#x06170;&#x03002;</td>
<td/>
<td valign="top" align="center">0.79</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">22. When something was bothering me, I told my mom about it.<break/> 22. &#x09047;&#x05230;&#x056F0;&#x06270;&#x065F6;&#x06211;&#x04F1A;&#x0544A;&#x08BC9;&#x05988;&#x05988;&#x03002;</td>
<td/>
<td valign="top" align="center">0.76</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">18. My mom let me know on a regular basis that I was important to her.<break/> 18. &#x06211;&#x05988;&#x05988;&#x0603B;&#x0662F;&#x08BA9;&#x06211;&#x077E5;&#x09053;&#x06211;&#x05BF9;&#x05979;&#x05F88;&#x091CD;&#x08981;&#x03002;</td>
<td/>
<td valign="top" align="center">0.71</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">4. When I had an injury, I went to my mom for first aid.<break/> 4. &#x06211;&#x053D7;&#x04F24;&#x065F6;&#x04F1A;&#x07B2C;&#x04E00;&#x065F6;&#x095F4;&#x0627E;&#x05988;&#x05988;&#x05904;&#x07406;&#x04F24;&#x053E3;&#x03002;</td>
<td/>
<td valign="top" align="center">0.67</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">1. My mom spent time with each individual child each day.<break/> 1. &#x06211;&#x05988;&#x05988;&#x06BCF;&#x05929;&#x090FD;&#x04F1A;&#x082B1;&#x065F6;&#x095F4;&#x05728;&#x06BCF;&#x04E2A;&#x05B69;&#x05B50;&#x08EAB;&#x04E0A;&#x03002;</td>
<td/>
<td valign="top" align="center">0.60</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">23. When something was bothering me, I told my dad about it.<break/> 23. &#x09047;&#x05230;&#x056F0;&#x06270;&#x065F6;&#x06211;&#x04F1A;&#x0544A;&#x08BC9;&#x07238;&#x07238;&#x03002;</td>
<td/>
<td/>
<td valign="top" align="center">0.86</td>
</tr>
<tr>
<td valign="top" align="left">14. When I got my feelings hurt, I went to my dad for comfort.<break/> 14. &#x06211;&#x04F24;&#x05FC3;&#x065F6;&#x04F1A;&#x0627E;&#x07238;&#x07238;&#x05BFB;&#x06C42;&#x05B89;&#x06170;&#x03002;</td>
<td/>
<td/>
<td valign="top" align="center">0.80</td>
</tr>
<tr>
<td valign="top" align="left">4. When I had an injury, I went to my dad for first aid.<break/> 4. &#x06211;&#x053D7;&#x04F24;&#x065F6;&#x04F1A;&#x07B2C;&#x04E00;&#x065F6;&#x095F4;&#x0627E;&#x07238;&#x07238;&#x05904;&#x07406;&#x04F24;&#x053E3;&#x03002;</td>
<td/>
<td/>
<td valign="top" align="center">0.76</td>
</tr>
<tr>
<td valign="top" align="left">2. My dad spent time with each individual child each day.<break/> 2. &#x06211;&#x07238;&#x07238;&#x06BCF;&#x05929;&#x090FD;&#x04F1A;&#x082B1;&#x065F6;&#x095F4;&#x05728;&#x06BCF;&#x04E2A;&#x05B69;&#x05B50;&#x08EAB;&#x04E0A;&#x03002;</td>
<td/>
<td/>
<td valign="top" align="center">0.62</td>
</tr>
<tr>
<td valign="top" align="left">19. My dad let me know on a regular basis that I was important to him.<break/> 19. &#x06211;&#x07238;&#x07238;&#x0603B;&#x0662F;&#x08BA9;&#x06211;&#x077E5;&#x09053;&#x06211;&#x05BF9;&#x04ED6;&#x05F88;&#x091CD;&#x08981;&#x03002;</td>
<td/>
<td/>
<td valign="top" align="center">0.53</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>Factor 1, Parents discipline; Factor 2, Maternal nurturance; Factor 3, Paternal nurturance.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>3.3 Confirmatory factor analysis</title>
<p>To evaluate the structural validity of the scale, a series of confirmatory factor analyses (CFAs) were conducted on Sample 2. Model fit indices for all tested models are presented in <xref ref-type="table" rid="T3">Table 3</xref>. We first tested a six-factor model with correlated errors (Model 1), based on Ross and McDuff&#x00027;s (<xref ref-type="bibr" rid="B50">2008</xref>) original structure and including all items. The model showed a poor fit (&#x003C7;<sup>2</sup><italic>/df</italic> = 5.90, RMSEA = 0.09, CFI = 0.84, TLI = 0.82, SRMR = 0.15), and several items in the Money and Food dimensions had factor loadings below 0.5, suggesting that these items may not be suitable for assessing family unpredictability in the Chinese context. Next, we tested a four-factor model based on Ross and McDuff&#x00027;s (<xref ref-type="bibr" rid="B50">2008</xref>) structure using the reduced item set from Sample 1 (Model 2), and the same model with correlated errors added (Model 3). Both models demonstrated poor fit, indicating that separating paternal and maternal discipline as distinct dimensions may not be appropriate.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Results of confirmatory factor analysis for the Retro-FUS-C.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left"><bold>Model</bold></th>
<th valign="top" align="left"><bold>Study/Model source</bold></th>
<th valign="top" align="center"><bold>Items</bold></th>
<th valign="top" align="center"><bold>Factors</bold></th>
<th valign="top" align="center"><bold>Corr. Error</bold></th>
<th valign="top" align="center"><bold><italic>&#x003C7;<sup>2</sup></italic></bold></th>
<th valign="top" align="center"><bold><italic>df</italic></bold></th>
<th valign="top" align="center"><bold><italic>&#x003C7;<sup>2</sup>/df</italic></bold></th>
<th valign="top" align="center"><bold>TLI</bold></th>
<th valign="top" align="center"><bold>CFI</bold></th>
<th valign="top" align="center"><bold>SRMR</bold></th>
<th valign="top" align="center"><bold>RMSEA</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Ross and McDuff (<xref ref-type="bibr" rid="B50">2008</xref>)</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">Six</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">1,960.57</td>
<td valign="top" align="center">333</td>
<td valign="top" align="center">5.90</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">0.84</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Ross and McDuff (<xref ref-type="bibr" rid="B50">2008</xref>)</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">Four</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">2,499.70</td>
<td valign="top" align="center">166</td>
<td valign="top" align="center">14.76</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">0.69</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Ross and McDuff (<xref ref-type="bibr" rid="B50">2008</xref>)</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">Four</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">853.33</td>
<td valign="top" align="center">156</td>
<td valign="top" align="center">5.47</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Our study</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">Three</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">1,545.26</td>
<td valign="top" align="center">132</td>
<td valign="top" align="center">11.71</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left"><bold>5</bold></td>
<td valign="top" align="left"><bold>Our study</bold></td>
<td valign="top" align="center"><bold>18</bold></td>
<td valign="top" align="center"><bold>Three</bold></td>
<td valign="top" align="center"><bold>Yes</bold></td>
<td valign="top" align="center"><bold>406.75</bold></td>
<td valign="top" align="center"><bold>123</bold></td>
<td valign="top" align="center"><bold>3.31</bold></td>
<td valign="top" align="center"><bold>0.95</bold></td>
<td valign="top" align="center"><bold>0.96</bold></td>
<td valign="top" align="center"><bold>0.04</bold></td>
<td valign="top" align="center"><bold>0.06</bold></td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Our study (male)</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">Three</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">233.42</td>
<td valign="top" align="center">123</td>
<td valign="top" align="center">1.90</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Our study (female)</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">Three</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">356.29</td>
<td valign="top" align="center">123</td>
<td valign="top" align="center">2.90</td>
<td valign="top" align="center">0.90</td>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.09</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>Corr. Error, correlated errors for similar maternal and paternal items about nurturance and discipline; &#x003C7;<sup>2</sup>, chi-square statistic; df, degrees of freedom; TLI, Tucker&#x02013;Lewis Index; CFI, Comparative Fit Index; SRMR, Standardized Root Mean Square Residual; RMSEA, Root Mean Square Error of Approximation; Model 5 (bolded) represents the best-fitting model based on multiple fit indices.</p>
</table-wrap-foot>
</table-wrap>
<p>We then tested a three-factor model derived from the exploratory factor analysis (Model 4), which showed an unsatisfactory fit. To improve model fit, we also incorporated the correlated error terms between similar maternal and paternal items. No additional residual correlations were introduced beyond those theoretically justified in the original structure. This revised three-factor model (Model 5) showed a good fit (&#x003C7;<sup>2</sup><italic>/df</italic> = 3.31, RMSEA = 0.06, CFI = 0.96, TLI = 0.95, SRMR = 0.04), exceeding that of both the original and alternative structures. The factor loadings of this model were all &#x0003E;0.5 (see <xref ref-type="fig" rid="F1">Figure 1</xref>). Given its strong fit and consistently high factor loadings, Model 5 was selected as the final measurement model for subsequent analyses.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Final confirmatory factor analysis model of the Retro-FUS-C.</p></caption>
<alt-text>Confirmatory factor analysis (CFA) diagram illustrating the relationships between latent factors: Parental Discipline, Paternal Nurturance, and Maternal Nurturance, and their corresponding observed items. The figure displays standardized factor loadings and error terms, indicating the strength of associations between each latent factor and its items, as well as the correlations among the latent factors themselves.</alt-text>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-16-1539693-g0001.tif"/>
</fig>
</sec>
<sec>
<title>3.4 Measurement invariance across gender</title>
<p>To assess model stability across gender, Model 5 was tested separately in male (Model 6) and female (Model 7) subsamples. Both models demonstrated acceptable fit (see <xref ref-type="table" rid="T3">Table 3</xref>). Although the RMSEA for the female group was 0.09, slightly exceeding the commonly recommended threshold of 0.08, it falls within the &#x0201C;mediocre fit&#x0201D; range (0.08&#x02013;0.10) proposed by Browne and Cudeck (<xref ref-type="bibr" rid="B8">1993</xref>) and was considered acceptable. To further test measurement equivalence across gender, a series of multi-group confirmatory factor analyses (MG-CFA) were conducted to test configural, metric, scalar, and strict invariance. As shown in <xref ref-type="table" rid="T4">Table 4</xref>, the configural model demonstrated good fit (&#x003C7;<sup>2</sup> = 548.63, <italic>d</italic>f = 242, CFI = 0.955, RMSEA = 0.046), indicating that the overall factor structure was comparable across male and female groups. The metric invariance model, which constrained factor loadings to be equal, showed no change in CFI (&#x00394;CFI = 0.000) and a slight improvement in RMSEA (&#x00394;RMSEA = 0.002), supporting metric invariance. Scalar invariance was also supported, with &#x00394;CFI = 0.008 and &#x00394;RMSEA = &#x02212;0.003, both within the commonly accepted thresholds (&#x00394;CFI &#x0003C; 0.01, &#x00394;RMSEA &#x0003C; 0.015; Chen, <xref ref-type="bibr" rid="B11">2007</xref>). Finally, strict invariance was established, as the changes in fit indices remained minimal (&#x00394;CFI = 0.002, &#x00394;RMSEA = 0.001). These results indicate that the Retro-FUS-C demonstrated full measurement invariance across gender at all tested levels.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Measurement invariance of the Retro-FUS-C across gender.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left"><bold>Fitness</bold></th>
<th valign="top" align="center"><bold><italic>&#x003C7;<sup>2</sup></italic></bold></th>
<th valign="top" align="center"><bold><italic>df</italic></bold></th>
<th valign="top" align="center"><bold>CFI</bold></th>
<th valign="top" align="center"><bold>RMSEA</bold></th>
<th valign="top" align="center"><bold>&#x00394;CFI</bold></th>
<th valign="top" align="center"><bold>&#x00394;RMSEA</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Configural</td>
<td valign="top" align="center">548.634</td>
<td valign="top" align="center">242</td>
<td valign="top" align="center">0.955</td>
<td valign="top" align="center">0.046</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">Metric</td>
<td valign="top" align="center">561.935</td>
<td valign="top" align="center">257</td>
<td valign="top" align="center">0.955</td>
<td valign="top" align="center">0.044</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">Scalar</td>
<td valign="top" align="center">618.980</td>
<td valign="top" align="center">263</td>
<td valign="top" align="center">0.947</td>
<td valign="top" align="center">0.047</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">&#x02212;0.003</td>
</tr>
<tr>
<td valign="top" align="left">Strict</td>
<td valign="top" align="center">662.496</td>
<td valign="top" align="center">292</td>
<td valign="top" align="center">0.945</td>
<td valign="top" align="center">0.046</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">0.001</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>&#x003C7;<sup>2</sup>, chi-square statistic; df, degrees of freedom; CFI, Comparative Fit Index; RMSEA, Root Mean Square Error of Approximation; &#x00394;CFI, change in CFI between nested models; &#x00394;RMSEA, change in RMSEA between nested models.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>3.5 Reliability analysis</title>
<p>The internal consistency of the Retro-FUS-C was supported by both Cronbach&#x00027;s &#x003B1; and McDonald&#x00027;s &#x003C9; coefficients (see <xref ref-type="table" rid="T5">Table 5</xref>). For the total scale, Cronbach&#x00027;s &#x003B1; was 0.76 and McDonald&#x00027;s &#x003C9; was 0.95 [95%CI (0.94, 0.96)], indicating high latent reliability despite a moderate alpha. For the subscales, Cronbach&#x00027;s &#x003B1; ranged from 0.85 to 0.90, and &#x003C9; ranged from 0.85 to 0.89, all within acceptable to excellent levels. These results suggest that the total scale and subscales of the Retro-FUS-C demonstrate strong internal consistency.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Internal consistency reliability of the Retro-FUS-C and its subscales.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left"><bold>Scale</bold></th>
<th valign="top" align="center"><bold>Cronbach&#x00027;s &#x003B1;</bold></th>
<th valign="top" align="center"><bold>McDonald&#x00027;s &#x003C9;</bold></th>
<th valign="top" align="center"><bold>95% CI for &#x003C9;</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Total retro-FUS-C</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">[0.94, 0.96]</td>
</tr>
<tr>
<td valign="top" align="left">Maternal nurturance</td>
<td valign="top" align="center">0.90</td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">[0.77, 0.90]</td>
</tr>
<tr>
<td valign="top" align="left">Paternal nurturance</td>
<td valign="top" align="center">0.87</td>
<td valign="top" align="center">0.87</td>
<td valign="top" align="center">[0.83, 0.91]</td>
</tr>
<tr>
<td valign="top" align="left">Parental discipline</td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">[0.87, 0.91]</td>
</tr></tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>3.6 Criterion-related validity</title>
<p>To evaluate the criterion-related validity of the Retro-FUS-C, Pearson correlations were conducted between its total score and subscale scores and a set of theoretically relevant external variables, including childhood socioeconomic status (CSES), perceived neighborhood danger, adult attachment styles (Close, Depend, Anxiety), and depressive symptoms (CES-D). As shown in <xref ref-type="table" rid="T6">Table 6</xref>, the total score of the Retro-FUS-C was negatively correlated with CSES and neighborhood danger, indicating that individuals who perceived higher unpredictability in their families tended to come from less advantaged and riskier environments. It was also negatively associated with Close and Depend, and positively associated with Anxiety. In addition, the total score was positively associated with depressive symptoms. Similar patterns were observed across the three subscales, particularly with parental discipline showing the strongest associations with anxiety attachment (<italic>r</italic> = 0.60) and depressive symptoms (<italic>r</italic> = 0.56). These findings reflect a theoretically consistent pattern of associations, mostly in the moderate range, supporting the Retro-FUS-C&#x00027;s criterion-related validity.</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Correlations between the Retro-FUS-C and criterion variables (<italic>N</italic> = 612).</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center"><bold>1</bold></th>
<th valign="top" align="center"><bold>2</bold></th>
<th valign="top" align="center"><bold>3</bold></th>
<th valign="top" align="center"><bold>4</bold></th>
<th valign="top" align="center"><bold>5</bold></th>
<th valign="top" align="center"><bold>6</bold></th>
<th valign="top" align="center"><bold>7</bold></th>
<th valign="top" align="center"><bold>8</bold></th>
<th valign="top" align="center"><bold>9</bold></th>
<th valign="top" align="center"><bold>10</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1. Retro- FUS-C</td>
<td valign="top" align="center">&#x02013;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">2. Maternal nurturance</td>
<td valign="top" align="center">0.63<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02013;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">3. Paternal Nurturance</td>
<td valign="top" align="center">0.55<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.66<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02013;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">4. Parental discipline</td>
<td valign="top" align="center">0.54<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.20<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.32<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02013;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">5. CSES</td>
<td valign="top" align="center">&#x02212;0.37<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.46<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.44<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">&#x02013;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">6. Neighbor danger</td>
<td valign="top" align="center">&#x02212;0.14<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.13<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center">&#x02212;0.06</td>
<td valign="top" align="center">0.22<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02013;</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">7. Close</td>
<td valign="top" align="center">&#x02212;0.48<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.23<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.13<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.39<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.29<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.15<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02013;</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">8. Depend</td>
<td valign="top" align="center">&#x02212;0.48<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.19<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center">&#x02212;0.44<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.21<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.12<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.67<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02013;</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">9. Anxiety</td>
<td valign="top" align="center">0.46<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">&#x02212;0.10<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.60<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center">&#x02212;0.06</td>
<td valign="top" align="center">&#x02212;0.54<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.65<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02013;</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">10. CES-D</td>
<td valign="top" align="center">0.44<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">&#x02212;0.08<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.56<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.15<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.17<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.53<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.59<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.62<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02013;</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>CSES, Childhood Socioeconomic Status Scale; CES-D, Center for Epidemiologic Studies Depression Scale.</p>
<p><sup>&#x0002A;</sup><italic>p</italic> &#x0003C; 0.05, <sup>&#x0002A;&#x0002A;</sup><italic>p</italic> &#x0003C; 0.01, <sup>&#x0002A;&#x0002A;&#x0002A;</sup><italic>p</italic> &#x0003C; 0.001.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4">
<title>4 Discussion</title>
<p>This study revised and validated the Chinese version of the Retrospective Family Unpredictability Scale (Retro-FUS-C) for use in the Chinese cultural context. With permission from the original author, we translated the scale and conducted item analysis, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA). EFA suggested a three-factor structure, and CFA supported the modified model with good fit indices. Measurement invariance across gender was also established, indicating that the scale functions equivalently for male and female respondents. In addition, the Retro-FUS-C demonstrated acceptable internal consistency and criterion-related validity, supporting its reliability and utility in Chinese samples.</p>
<p>The three-factor structure of the Retro-FUS-C includes maternal nurturance, paternal nurturance, and parental discipline, consistent with the original scale&#x00027;s dimensions of nurturance and discipline proposed by Ross and McDuff (<xref ref-type="bibr" rid="B50">2008</xref>). However, there was a minor difference: the dimensions of paternal and maternal discipline were combined. This may reflect a more uniform perception of parental discipline in the Chinese context. Unlike the more differentiated parenting styles often observed in Western cultures, Chinese parents are strongly influenced by Confucian values that emphasize obedience, harmony, and filial piety. Within this cultural framework, discipline is frequently expressed through a &#x0201C;training&#x0201D; approach (Chao, <xref ref-type="bibr" rid="B9">1994</xref>), which integrates behavioral control with emotional closeness and high parental involvement. Consequently, mothers and fathers in China often adopt similar disciplinary strategies. Supporting this, Luo et al. (<xref ref-type="bibr" rid="B35">2021</xref>) found through cluster analysis that over two-thirds of Chinese families exhibited high consistency between maternal and paternal parenting styles. In contrast, nurturance is more closely tied to culturally gendered parenting roles. Meta-analytic findings suggest that mothers are generally viewed as the primary caregivers, providing more emotional and day-to-day support, whereas fathers are more often associated with instrumental roles such as financial provision (Dou et al., <xref ref-type="bibr" rid="B18">2020</xref>). Thus, while discipline reflects a shared parental identity, nurturance tends to retain distinct maternal and paternal characteristics.</p>
<p>Additionally, items related to meals and money were excluded due to both cultural and psychometric considerations. In terms of dietary practices, Western cultures tend to adopt square tables or buffet-style dining, reflecting cultural traits of independence and individuality, whereas Chinese culture emphasizes communal dining and family cohesion, typically around round tables (Ma, <xref ref-type="bibr" rid="B37">2015</xref>; Ye et al., <xref ref-type="bibr" rid="B61">2021</xref>). Rooted in Confucian values, shared family meals are viewed as rituals of filial piety and are maintained even under unpredictable circumstances (Christensen, <xref ref-type="bibr" rid="B14">2017</xref>; Tian et al., <xref ref-type="bibr" rid="B56">2018</xref>). As a result, unpredictability in family meals may not be applicable in the Chinese context. Similarly, the money items primarily assessed short-term financial fluctuations (e.g., &#x0201C;Some months we had plenty of money to spend, other months we were quite poor&#x0201D;), which may not be culturally appropriate in the Chinese context. In Western societies, where pre-consumption and credit-based spending is common, temporary income instability tends to have a stronger psychological impact. In contrast, Chinese families typically emphasize saving and frugality over unplanned consumption (Xiao and Fan, <xref ref-type="bibr" rid="B60">2002</xref>; Ye et al., <xref ref-type="bibr" rid="B61">2021</xref>), reflecting longstanding cultural values. This is further evidenced by data from the 2016 China Household Finance Survey (CHFS), which showed that only 17% of Chinese households owned credit cards (Gan et al., <xref ref-type="bibr" rid="B23">2019</xref>), suggesting limited reliance on personal credit. Therefore, items referencing uncertainty about covering monthly expenses, such as &#x0201C;My parents were never sure how we would pay our bills from month to month,&#x0201D; may not resonate with most Chinese respondents. Moreover, financial uncertainty is often mitigated by intergenerational transfers and extended family support (Meng et al., <xref ref-type="bibr" rid="B39">2023</xref>; Silverstein and Zhang, <xref ref-type="bibr" rid="B52">2020</xref>), as well as relatively stable employment in government and state-owned sectors (Li et al., <xref ref-type="bibr" rid="B34">2024</xref>; Wang and Xie, <xref ref-type="bibr" rid="B57">2015</xref>). These structural and cultural factors reduce the psychological salience of financial volatility. Psychometrically, these items showed low CITC and/or weak factor loadings, supporting their exclusion on both cultural and empirical grounds.</p>
<p>Although the money dimension (assessing financial fluctuations) was excluded, our analyses confirmed that lower CSES remained significantly associated with higher family unpredictability. This result aligns with life history theory&#x00027;s distinction between harshness (stable adversity, e.g., chronic low CSES and neighborhood risk) and unpredictability (variable conditions, e.g., unstable nurturance) as related but distinct developmental antecedents (Belsky et al., <xref ref-type="bibr" rid="B6">1991</xref>, <xref ref-type="bibr" rid="B5">2012</xref>; Ellis et al., <xref ref-type="bibr" rid="B19">2009</xref>; Griskevicius et al., <xref ref-type="bibr" rid="B24">2013</xref>; Simpson et al., <xref ref-type="bibr" rid="B53">2012</xref>). This suggests that chronic economic hardship, resource scarcity, and environmental threats may undermine the stability of parenting behaviors and emotional support (Belsky et al., <xref ref-type="bibr" rid="B6">1991</xref>), ultimately shaping an individual&#x00027;s developmental trajectories.</p>
<p>According to classical attachment theory (Bowlby, <xref ref-type="bibr" rid="B7">1969</xref>), consistent and predictable caregiving is essential for the development of a secure attachment system. In contrast, when caregivers respond inconsistently, children may become uncertain about their availability, which fosters insecure attachment patterns such as anxiety and avoidance (Ainsworth et al., <xref ref-type="bibr" rid="B1">1978</xref>). These insecure patterns can later contribute to difficulties in forming and maintaining close relationships in adulthood (Fraley and Shaver, <xref ref-type="bibr" rid="B21">2000</xref>; Hazan and Shaver, <xref ref-type="bibr" rid="B28">1987</xref>). Contemporary attachment theorists highlight that early relational experiences shape internal working models, which guide expectations and behaviors in adult relationships (Mikulincer and Shaver, <xref ref-type="bibr" rid="B41">2007</xref>). In this context, the unpredictability (such as inconsistent nurturance and discipline, measured by Retro-FUS-C) may interfere with the development of stable internal working models of relationships (Barbaro and Shackelford, <xref ref-type="bibr" rid="B3">2016</xref>; Belsky et al., <xref ref-type="bibr" rid="B6">1991</xref>; French et al., <xref ref-type="bibr" rid="B22">2020</xref>). Our findings are consistent with this framework, as higher scores of Retro-FUS-C were associated with weaker emotional bonds in adulthood (Close and Depend) and increased abandonment anxiety. These findings underscore the utility of the revised Retro-FUS-C in retrospectively assessing early family unpredictability and identifying individuals at risk for relational difficulties, thereby informing targeted interventions in close relationships.</p>
<p>Although most studies using the Retro-FUS have focused on non-clinical samples, emerging evidence suggests that early-life unpredictability contributes to psychological distress, particularly depression (Kolak et al., <xref ref-type="bibr" rid="B33">2018</xref>; Ross et al., <xref ref-type="bibr" rid="B49">2016</xref>; Wang et al., <xref ref-type="bibr" rid="B58">2024</xref>). For example, Ross et al. (<xref ref-type="bibr" rid="B49">2016</xref>) found that greater exposure to family unpredictability predicted higher levels of depressive symptoms in adulthood. In our study, the significant association between higher unpredictability and elevated depressive symptoms underscores the potential clinical relevance of the Retro-FUS-C. Future research should investigate whether this scale can reliably predict psychiatric conditions such as mood and anxiety disorders in clinical populations.</p>
<p>In summary, this study demonstrates that the Retro-FUS-C is a reliable and culturally appropriate tool for assessing retrospective family unpredictability among Chinese young adults. By supporting key predictions of life history theory and attachment theory, it contributes to the understanding of early environmental influences in Chinese contexts. The scale also shows potential value in identifying individuals at heightened risk for later psychological difficulties, which may inform future prevention and intervention efforts. However, this study has certain limitations. Although participants were recruited from university participant pools, they came from diverse geographic regions, family backgrounds, and socioeconomic levels across China. This sampling approach, consistent with that used in the development of the original scale, supports initial generalizability. Nevertheless, the revised scale is currently more applicable to Chinese young adults, and its relevance to middle-aged or older populations remains unclear. Future research should consider age-specific revisions if necessary. Second, with the increasing popularity of consumer credit tools in China, such as Ant Credit Pay and installment-based purchasing, the experience and perception of financial unpredictability among younger generations may continue to change. As a result, the financial items in the Retro-FUS may require further revision over time to maintain contextual relevance. Future studies should examine how evolving economic behaviors affect the validity of these items and adapt the scale as new cohorts enter adulthood.</p>
</sec>
<sec id="s5">
<title>5 Conclusion</title>
<p>This study comprehensively evaluated the psychometric properties of the Chinese version of the Retrospective Family Unpredictability Scale (Retro-FUS-C). The results indicate that the Retro-FUS-C demonstrates good reliability and validity and is a culturally appropriate tool for assessing family unpredictability among Chinese young adults. It offers researchers and healthcare professionals in China a scientifically sound instrument to investigate early environmental influences and their psychological consequences. Further research is encouraged to explore the scale&#x00027;s applicability across different age groups and populations.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: <ext-link ext-link-type="uri" xlink:href="https://osf.io/g6yvh/?view_only=d16bf2a505e94bbc8be89ff477cd7570">https://osf.io/g6yvh/?view_only=d16bf2a505e94bbc8be89ff477cd7570</ext-link>.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Zhejiang Sci-Tech University Psychology Research Ethics Committee (No. 202211P001). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>WQ: Funding acquisition, Investigation, Methodology, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing, Conceptualization. CX: Data curation, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing, Investigation. LD: Investigation, Validation, Writing &#x02013; review &#x00026; editing. JW: Funding acquisition, Project administration, Supervision, Writing &#x02013; review &#x00026; editing. DG: Data curation, Writing &#x02013; review &#x00026; editing. YX: Methodology, Visualization, Writing &#x02013; review &#x00026; editing.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by Beijing Institute of Fashion Technology 2024 &#x0201C;AI&#x0002B; Courses&#x0201D; Educational Teaching Reform Special Project (No. AIKC-2484) and the Science Foundation of Zhejiang Sci-Tech University under Grant (No. 21062259-Y).</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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>
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<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declare that Gen AI was used in the creation of this manuscript. Generative AI was used solely for language refinement (e.g., grammar, clarity, and wording). All content was originally written by the author(s) and carefully reviewed to ensure accuracy and integrity.</p>
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<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x00027;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>
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