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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.2021.745168</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>Do Superordinate Identification and Temporal/Social Comparisons Independently Predict Citizens&#x2019; System Trust? Evidence From a 40-Nation Survey</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Caricati</surname> <given-names>Luca</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/809987/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Owuamalam</surname> <given-names>Chuma Kevin</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/180585/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Bonetti</surname> <given-names>Chiara</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1415127/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>University of Parma, Department of Humanities, Social Sciences and Cultural Industries</institution>, <addr-line>Parma</addr-line>, <country>Italy</country></aff>
<aff id="aff2"><sup>2</sup><institution>Division of Organisational and Applied Psychology, University of Nottingham Malaysia</institution>, <addr-line>Selangor</addr-line>, <country>Malaysia</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Sharon Coen, University of Salford, United Kingdom</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Cristina O. Mosso, University of Turin, Italy; Zsolt P&#x00E9;ter Szab&#x00F3;, Budapest University of Technology and Economics, Hungary</p></fn>
<corresp id="c001">&#x002A;Correspondence: Luca Caricati, <email>luca.caricati@unipr.it</email></corresp>
<corresp id="c002">Chiara Bonetti, <email>chiara.bonetti@unipr.it</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Personality and Social Psychology, a section of the journal Frontiers in Psychology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>11</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>745168</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>09</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Caricati, Owuamalam and Bonetti.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Caricati, Owuamalam and Bonetti</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>
<p>Do superordinate in-group bias as well as temporal and social comparisons offer standalone explanations for system justification? We addressed this question using the latest World Value Survey (7th Wave), combining the responses of 55,721 participants from 40 different nations. Results from a random slope multilevel model showed that superordinate (national) identification, temporal comparison (i.e., the outcomes of an individual relative to those of his/her parents at different time points), and social comparison (based on income levels) were <italic>independent</italic> and <italic>positive</italic> predictors of system justification. Specifically, system justification increased when national identification was high, when income increased (i.e., the socioeconomic comparison was positive), and when the outcomes of citizens improved relative to the outcomes of their parents at relevant time points (i.e., the temporal comparison was positive). Incidentally, we also observed an interaction between national identification and temporal comparison (but not with social comparison), indicating that positive temporal comparison seemed to have a reduced effect (but still significant) for highly identified citizens. These results are supportive of the social identity approach to system justification and suggest that support for societal systems is a positive function of people&#x2019;s personal and group interests.</p>
</abstract>
<kwd-group>
<kwd>system justification</kwd>
<kwd>social identity</kwd>
<kwd>national identification</kwd>
<kwd>social comparison</kwd>
<kwd>temporal comparison</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="45"/>
<page-count count="10"/>
<word-count count="9325"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="S1">
<title>Introduction</title>
<disp-quote>
<p>&#x201C;<italic>Beggars do not envy millionaires, just other beggars who are more successful</italic>&#x201D;</p>
<p>(Bertrand Russell)</p>
</disp-quote>
<p>Many people live within unequal social situations that they are often reluctant to challenge and are sometimes ardent supporters of these realities, even when it goes against some of their vested material or symbolic interests. Why is this so? According to the System Justification Theory (SJT; <xref ref-type="bibr" rid="B22">Jost and Banaji, 1994</xref>), this happens because people possess a specific &#x201C;system justification motivation&#x201D; to pursue the bigger picture (i.e., in believing that the system within which they operate is just and fair). This new motivation is assumed to sit beside the more traditional ego justification (i.e., the need to achieve a positive self-esteem) and group justification (i.e., the need to achieve a positive social identity) needs, and that it drives people to see societal arrangements, and its inequality, as the way that things should be (and, by so doing, ultimately legitimize the <italic>status quo</italic>). Importantly, system justification is assumed to satisfy existential, epistemic, and relational needs, permitting the reassuring belief that the world is a predictable, certain, and (relatively) safe place (<xref ref-type="bibr" rid="B25">Jost and Hunyady, 2005</xref>; <xref ref-type="bibr" rid="B21">Jost, 2019</xref>). Thus, according to SJT, the reason why people might be reluctant to challenge unequal social arrangements is that this would be extremely costly to the predictability and stability of realities to which they have become accustomed (<xref ref-type="bibr" rid="B22">Jost and Banaji, 1994</xref>; <xref ref-type="bibr" rid="B19">Jost and Hunyady, 2003</xref>).</p>
<p>Although most people possess this system justification motive (i.e., it is present for those who are advantaged and disadvantaged by the relevant systems), it is often easier for the advantaged to accommodate their ego-, group-, and system-based needs than for the disadvantaged because, for the former, these interests align. For the disadvantaged, however, meeting the demands of the system motive can generate some difficulty, often because supporting the relevant societal system tends to come at the expense of relegating their ego and/or group justification needs to the background (<xref ref-type="bibr" rid="B22">Jost and Banaji, 1994</xref>; <xref ref-type="bibr" rid="B23">Jost et al., 2004</xref>). It was for this reason that the classic SJT acknowledged (based on social identity principles) that the justification of societal systems should increase as social advantage also increases (<xref ref-type="bibr" rid="B25">Jost and Hunyady, 2005</xref>; <xref ref-type="bibr" rid="B24">Jost et al., 2012</xref>). Put simply, the advantaged ought to be more inclined to support a relevant societal system, given their privileged position within it, while the disadvantaged should (ordinarily) be reluctant to do so outside of the system justification motive. When this system motive is operational for the disadvantaged, SJT assumes that this will cause them to intensify their support for their social systems, especially if their ego and group justification needs are sufficiently subdued (<xref ref-type="bibr" rid="B26">Jost et al., 2003</xref>; <xref ref-type="bibr" rid="B20">Jost, 2017</xref>). But is this the only (or even the most plausible) explanation for system justification among the disadvantaged?</p>
<sec id="S1.SS1">
<title>An Alternative Explanation of System Justification</title>
<p>The idea that a specific motivation to justify the system is required to explain instances of system justification, beyond personal/group interest, has been challenged by <xref ref-type="bibr" rid="B39">Owuamalam et al. (2018</xref>, <xref ref-type="bibr" rid="B40">2019a</xref>, <xref ref-type="bibr" rid="B41">2019b)</xref> in their Social Identity Model of System Attitudes (SIMSA). SIMSA assumes that system justification, especially among the disadvantaged, can be explained by the traditional motives of personal/group interests, without recourse to an independent system motivation explanation. For example, SIMSA assumes that some instances of the puzzling justification of disadvantageous systems, sometimes seen among members of low-status groups, can result from them paying attention to their identity needs but at a more inclusive level of social categorization (e.g., their nation). So, for instance, African-Americans may justify disadvantageous realities in America, if their attention is strongly focused on the needs that are tied to their superordinate identity as Americans rather than the needs that are tied to their subgroup (African) identity. Therefore, African-Americans may justify disadvantageous systems (e.g., the American government) that regulate/oversee the institutional huddles confronting fellow group members (e.g., fatal law enforcement), if their attention is narrowly focused on their national (superordinate) identity as Americans. A similar process should also operate for high-status groups. In this sense, system justification is likely nothing more than a favorable evaluation of one&#x2019;s superordinate in-group.</p>
<p>But, this superordinate in-group bias explanation is not the only one on offer under the social identity umbrella (i.e., social identity theory (SIT); <xref ref-type="bibr" rid="B43">Tajfel and Turner, 1979</xref>), especially given that SIMSA and its predecessor (SJT) do not currently say much about system justification of members of groups that are placed in an intermediate position (i.e., those who are disadvantaged but can nevertheless realize downward comparison) relative to those who are clearly advantaged or disadvantaged. This is the vacuum that the Triadic Social Stratification Theory (TSST, <xref ref-type="bibr" rid="B7">Caricati, 2018</xref>; <xref ref-type="bibr" rid="B10">Caricati and Owuamalam, 2020</xref>) fills, also drawing from SIT (<xref ref-type="bibr" rid="B43">Tajfel and Turner, 1979</xref>).</p>
<p>In particular, TSST offers one distinct reason why people might support their social systems, especially the puzzling instances of system justification among the disadvantaged. TSST, similar to its parent framework (SIT), assumes that people are motivated by a need for positive self-worth to improve their social position both personally (i.e., by upward individual mobility) and collectively (by upward social mobility) and that sometimes this goal can be reached by comparing the outcomes of an individual (or the outcomes of an individual&#x2019;s social group) with those of others. Evidence shows that people are often motivated to enhance their own social position by upward <italic>individual</italic> mobility unless this goal is impeded in some way (<xref ref-type="bibr" rid="B44">Wright et al., 1990</xref>; <xref ref-type="bibr" rid="B15">Ellemers, 1993</xref>; <xref ref-type="bibr" rid="B16">Ellemers et al., 1993</xref>; <xref ref-type="bibr" rid="B18">Jackson et al., 1996</xref>). So, for example, an African-American may choose to compare him/herself with other in-group members (even their immediate family) who are not doing so well and may embrace America and consequently support its systems simply because it has afforded him/her the opportunity to rise above his/her parents or other members of their African-American community. Beyond the foregoing <italic>social</italic> comparisons, it is also possible for individuals to compare their outcomes against different time points in their life, so that a favorable comparison is achieved when individuals believe that they are doing better now than they did in the past (i.e., temporal comparison, <xref ref-type="bibr" rid="B4">Blanz et al., 1998</xref>).</p>
<p>TSST is, therefore, currently unique in its emphasis on the social comparison provision of SIT, arguing that so long as a given social or temporal stratification allows for intermediate positioning (whether it be within groups or between time points), that people may be motivated by the need for positive self-worth to support the <italic>status quo</italic> in which this was made possible. That is, they do so because (1) they are better off than others (individuals or groups) and (2) they are better off <italic>now</italic> than they were in the <italic>past</italic>.</p>
<p>Accordingly, it has been shown that people are more likely to justify their societal systems (<xref ref-type="bibr" rid="B11">Caricati and Sollami, 2018</xref>) and are even less likely to question these realities (<xref ref-type="bibr" rid="B3">Becker, 2012</xref>) when the <italic>status quo</italic> permits a downward comparison. Similarly, a comparison between actual and past conditions (<xref ref-type="bibr" rid="B34">Mummendey et al., 1996</xref>, <xref ref-type="bibr" rid="B33">1999</xref>; <xref ref-type="bibr" rid="B45">Zagefka and Brown, 2005</xref>) has been suggested as an important factor when considering the extent to which people support their social systems. For example, people who successfully realize (or believe in) individual mobility may be more likely to support existing social arrangement and, consequently, also more likely to deny that prejudice or discrimination exists (<xref ref-type="bibr" rid="B35">Ng and Chiu, 2001</xref>; <xref ref-type="bibr" rid="B13">Derks et al., 2011</xref>, <xref ref-type="bibr" rid="B14">2015</xref>; <xref ref-type="bibr" rid="B38">Owuamalam et al., 2017</xref>). Similarly, people who believe that their standard of life has improved with respect to the past may be motivated to justify the system that allowed for such improvement to materialize (<xref ref-type="bibr" rid="B10">Caricati and Owuamalam, 2020</xref>).</p>
</sec>
<sec id="S1.SS2">
<title>Aims and Hypotheses</title>
<p>Although research has shown that social and temporal comparisons [as well as superordinate (national) identification] are able to bolster system support, none of these previous studies have examined, so far, these variables together, meaning that their unique contributions with regard to system justification have yet to be determined. This is important for two reasons at least. On the one hand, the national in-group provides the context to appraise the life outcomes of an individual relative to fellow nationals (including family members). From this perspective, it is possible to argue that a downward social comparison with other nationals could enhance the extent to which an individual observes (and appreciates) the benefits of greater (psychological) investments in a national in-group that made this favorable (self-worth-boosting) comparison possible. Therefore, in this situation, system support could be due to social comparison alone, or it could be due to its joint action with national identification. System support could also be due to &#x201C;love of country&#x201D; and not due to a favorable social/temporal comparison. In short, understanding the unique contribution of these explanations is difficult, if both are not simultaneously accommodated within the same model, to allow the partitioning of variances in system support that is due to each explanation.</p>
<p>At the same time, it is also possible that &#x201C;love of country&#x201D; (i.e., superordinate identification) could bolster entitlement feelings, and such feelings could poison the normally self-enhancing effect of downward temporal comparisons (e.g., when white working-class Americans compare their outcomes at present to what it was in the past, amidst the influx of competing migrant groups). From this perspective, then, it is possible that the ordinarily positive effect of favorable temporal comparison on system justification might cease (or be suppressed) when superordinate identification is taken into account. No other investigation has systematically unpacked these processes by considering them in tandem. Therefore, to be more certain that the social and temporal comparisons of TSST, as well as the superordinate in-group bias explanation of SIMSA are independent influencers of the system justification effect, one should demonstrate that they offer unique insights when considered together. In this investigation, therefore, we focused on three key self/group-interested predictors of system justification, namely, superordinate (national) identification (as per SIMSA), social comparison, with income as an indicator of relative social advantage, and temporal comparison (as per TSST).</p>
<p>First, we expected that system justification would be positively related to national identification over and beyond the alternative explanations (i.e., social/temporal comparisons) because, according to SIMSA, people would be more likely to support the national system to the extent that they identify with their nation (Hypothesis 1). Second, based on TSST, we expected that all otherwise being equal, the advantaged (as well as the intermediately positioned) would be more likely than their relatively more disadvantaged counterparts to justify the system (Hypothesis 2). This is because, in this situation, such individuals can obtain positive personal and group comparisons from a system that enabled their relatively advantaged social position. Finally, based on TSST, we considered the consequence of comparing own standard of living to those of one&#x2019;s parents over time, which we used to proxy temporary comparison. It is important to note that this instance of intragroup comparison is consistent with evidence that people tend to prefer intragroup comparison over intergroup comparison and often engage in comparison with past outcomes as a means of dealing with social identity-based challenges (<xref ref-type="bibr" rid="B32">Major and Forcey, 1985</xref>; <xref ref-type="bibr" rid="B36">O&#x2019;Brien and Major, 2009</xref>; <xref ref-type="bibr" rid="B1">Akfirat et al., 2016</xref>). Therefore, we expected that system justification would increase when people believe that they are better off at present than in the past, especially when this comparison is tied to those people that one ordinarily look up to (e.g., one&#x2019;s parents, Hypothesis 3).</p>
</sec>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Sample</title>
<p>We used the 7th Wave of the World Value Survey (WVS) with 70,867 participants from 49 countries worldwide. We considered only participants with no missing values<sup><xref ref-type="fn" rid="footnote1">1</xref></sup> on the measures that were relevant to our analysis (refer to the explanation below), and this consideration reduced both the <italic>N</italic>-size (now down to 55,721 participants) and the number of nations (down to 40 countries: 47.7% men, mean age = 42.16, SD = 15.97, range = 16&#x2013;103; <xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Sample demographic details and descriptive statistics for key and contextual variables.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"/>
<td valign="top" align="center" colspan="2"><bold>System justification</bold></td>
<td valign="top" align="center" colspan="2"><bold>Identification</bold></td>
<td valign="top" align="center" colspan="2"><bold>Income</bold></td>
<td valign="top" align="center" colspan="3"><bold>Comparison</bold></td>
<td valign="top" align="center"><bold>Age</bold></td>
<td valign="top" align="center"><bold>Education</bold></td>
<td valign="top" align="center"><bold>GINI</bold></td>
<td valign="top" align="center"><bold>GDP PPP (&#x0024;)/1000</bold></td>
</tr>
<tr>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center" colspan="2"><hr/></td>
<td valign="top" align="center" colspan="2"><hr/></td>
<td valign="top" align="center" colspan="2"><hr/></td>
<td valign="top" align="center" colspan="3"><hr/></td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"><bold><italic>N</italic></bold></td>
<td valign="top" align="center"><bold><italic>M</italic></bold></td>
<td valign="top" align="center"><bold><italic>SD</italic></bold></td>
<td valign="top" align="center"><bold><italic>M</italic></bold></td>
<td valign="top" align="center"><bold><italic>SD</italic></bold></td>
<td valign="top" align="center"><bold><italic>M</italic></bold></td>
<td valign="top" align="center"><bold><italic>SD</italic></bold></td>
<td valign="top" align="center"><bold>Same (%)</bold></td>
<td valign="top" align="center"><bold>Better off (%)</bold></td>
<td valign="top" align="center"><bold>Worse off (%)</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Argentina</td>
<td valign="top" align="center">933</td>
<td valign="top" align="center">1.90</td>
<td valign="top" align="center">0.60</td>
<td valign="top" align="center">3.15</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">5.08</td>
<td valign="top" align="center">1.60</td>
<td valign="top" align="center">54.2</td>
<td valign="top" align="center">24.4</td>
<td valign="top" align="center">21.3</td>
<td valign="top" align="center">42.62</td>
<td valign="top" align="center">2.75</td>
<td valign="top" align="center">41.40</td>
<td valign="top" align="center">22.95</td>
</tr>
<tr>
<td valign="top" align="left">Australia</td>
<td valign="top" align="center">1,650</td>
<td valign="top" align="center">2.23</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">3.37</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">5.19</td>
<td valign="top" align="center">2.10</td>
<td valign="top" align="center">28.9</td>
<td valign="top" align="center">58.2</td>
<td valign="top" align="center">12.8</td>
<td valign="top" align="center">53.70</td>
<td valign="top" align="center">4.68</td>
<td valign="top" align="center">34.40</td>
<td valign="top" align="center">53.32</td>
</tr>
<tr>
<td valign="top" align="left">Bangladesh</td>
<td valign="top" align="center">1,182</td>
<td valign="top" align="center">2.87</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">3.29</td>
<td valign="top" align="center">0.74</td>
<td valign="top" align="center">5.63</td>
<td valign="top" align="center">2.08</td>
<td valign="top" align="center">5.0</td>
<td valign="top" align="center">86.4</td>
<td valign="top" align="center">8.6</td>
<td valign="top" align="center">36.62</td>
<td valign="top" align="center">1.86</td>
<td valign="top" align="center">32.40</td>
<td valign="top" align="center">4.95</td>
</tr>
<tr>
<td valign="top" align="left">Bolivia</td>
<td valign="top" align="center">1,970</td>
<td valign="top" align="center">1.80</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">3.37</td>
<td valign="top" align="center">0.83</td>
<td valign="top" align="center">5.03</td>
<td valign="top" align="center">2.02</td>
<td valign="top" align="center">51.7</td>
<td valign="top" align="center">39.6</td>
<td valign="top" align="center">8.7</td>
<td valign="top" align="center">37.86</td>
<td valign="top" align="center">3.41</td>
<td valign="top" align="center">42.20</td>
<td valign="top" align="center">9.09</td>
</tr>
<tr>
<td valign="top" align="left">Brazil</td>
<td valign="top" align="center">1,511</td>
<td valign="top" align="center">1.79</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">2.65</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">4.04</td>
<td valign="top" align="center">2.13</td>
<td valign="top" align="center">17.3</td>
<td valign="top" align="center">68.2</td>
<td valign="top" align="center">14.5</td>
<td valign="top" align="center">43.56</td>
<td valign="top" align="center">2.82</td>
<td valign="top" align="center">53.90</td>
<td valign="top" align="center">15.26</td>
</tr>
<tr>
<td valign="top" align="left">Myanmar</td>
<td valign="top" align="center">1,198</td>
<td valign="top" align="center">2.84</td>
<td valign="top" align="center">0.71</td>
<td valign="top" align="center">3.03</td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">4.70</td>
<td valign="top" align="center">2.01</td>
<td valign="top" align="center">30.0</td>
<td valign="top" align="center">49.5</td>
<td valign="top" align="center">20.5</td>
<td valign="top" align="center">40.41</td>
<td valign="top" align="center">2.38</td>
<td valign="top" align="center">30.70</td>
<td valign="top" align="center">5.36</td>
</tr>
<tr>
<td valign="top" align="left">Chile</td>
<td valign="top" align="center">919</td>
<td valign="top" align="center">1.97</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">3.53</td>
<td valign="top" align="center">0.71</td>
<td valign="top" align="center">4.72</td>
<td valign="top" align="center">1.70</td>
<td valign="top" align="center">26.4</td>
<td valign="top" align="center">60.7</td>
<td valign="top" align="center">12.8</td>
<td valign="top" align="center">45.10</td>
<td valign="top" align="center">3.86</td>
<td valign="top" align="center">44.40</td>
<td valign="top" align="center">25.15</td>
</tr>
<tr>
<td valign="top" align="left">China</td>
<td valign="top" align="center">2,950</td>
<td valign="top" align="center">3.29</td>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center">3.26</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">4.15</td>
<td valign="top" align="center">1.85</td>
<td valign="top" align="center">9.9</td>
<td valign="top" align="center">88.8</td>
<td valign="top" align="center">1.3</td>
<td valign="top" align="center">44.57</td>
<td valign="top" align="center">2.83</td>
<td valign="top" align="center">38.50</td>
<td valign="top" align="center">16.78</td>
</tr>
<tr>
<td valign="top" align="left">Colombia</td>
<td valign="top" align="center">1,498</td>
<td valign="top" align="center">1.79</td>
<td valign="top" align="center">0.60</td>
<td valign="top" align="center">3.16</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">4.43</td>
<td valign="top" align="center">2.53</td>
<td valign="top" align="center">51.2</td>
<td valign="top" align="center">37.2</td>
<td valign="top" align="center">11.6</td>
<td valign="top" align="center">38.87</td>
<td valign="top" align="center">3.12</td>
<td valign="top" align="center">50.40</td>
<td valign="top" align="center">15.64</td>
</tr>
<tr>
<td valign="top" align="left">Cyprus</td>
<td valign="top" align="center">823</td>
<td valign="top" align="center">2.15</td>
<td valign="top" align="center">0.71</td>
<td valign="top" align="center">3.41</td>
<td valign="top" align="center">0.80</td>
<td valign="top" align="center">5.20</td>
<td valign="top" align="center">1.71</td>
<td valign="top" align="center">21.1</td>
<td valign="top" align="center">58.9</td>
<td valign="top" align="center">19.9</td>
<td valign="top" align="center">45.10</td>
<td valign="top" align="center">4.28</td>
<td valign="top" align="center">31.40</td>
<td valign="top" align="center">41.25</td>
</tr>
<tr>
<td valign="top" align="left">Ecuador</td>
<td valign="top" align="center">1,138</td>
<td valign="top" align="center">1.97</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">3.17</td>
<td valign="top" align="center">0.72</td>
<td valign="top" align="center">4.74</td>
<td valign="top" align="center">2.20</td>
<td valign="top" align="center">66.1</td>
<td valign="top" align="center">24.2</td>
<td valign="top" align="center">9.8</td>
<td valign="top" align="center">39.43</td>
<td valign="top" align="center">3.20</td>
<td valign="top" align="center">45.40</td>
<td valign="top" align="center">11.85</td>
</tr>
<tr>
<td valign="top" align="left">Ethiopia</td>
<td valign="top" align="center">1,190</td>
<td valign="top" align="center">2.55</td>
<td valign="top" align="center">0.81</td>
<td valign="top" align="center">2.93</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">4.38</td>
<td valign="top" align="center">2.25</td>
<td valign="top" align="center">15.6</td>
<td valign="top" align="center">63.6</td>
<td valign="top" align="center">20.8</td>
<td valign="top" align="center">31.84</td>
<td valign="top" align="center">2.02</td>
<td valign="top" align="center">35.00</td>
<td valign="top" align="center">2.31</td>
</tr>
<tr>
<td valign="top" align="left">Germany</td>
<td valign="top" align="center">1,431</td>
<td valign="top" align="center">2.46</td>
<td valign="top" align="center">0.60</td>
<td valign="top" align="center">3.34</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">5.20</td>
<td valign="top" align="center">1.68</td>
<td valign="top" align="center">27.0</td>
<td valign="top" align="center">61.7</td>
<td valign="top" align="center">11.3</td>
<td valign="top" align="center">50.93</td>
<td valign="top" align="center">4.10</td>
<td valign="top" align="center">31.90</td>
<td valign="top" align="center">56.05</td>
</tr>
<tr>
<td valign="top" align="left">Greece</td>
<td valign="top" align="center">1,122</td>
<td valign="top" align="center">1.89</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">3.58</td>
<td valign="top" align="center">0.61</td>
<td valign="top" align="center">4.56</td>
<td valign="top" align="center">1.77</td>
<td valign="top" align="center">16.0</td>
<td valign="top" align="center">56.4</td>
<td valign="top" align="center">27.6</td>
<td valign="top" align="center">50.98</td>
<td valign="top" align="center">3.26</td>
<td valign="top" align="center">34.40</td>
<td valign="top" align="center">31.40</td>
</tr>
<tr>
<td valign="top" align="left">Guatemala</td>
<td valign="top" align="center">1,100</td>
<td valign="top" align="center">1.65</td>
<td valign="top" align="center">0.58</td>
<td valign="top" align="center">2.94</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">5.99</td>
<td valign="top" align="center">2.02</td>
<td valign="top" align="center">27.7</td>
<td valign="top" align="center">61.9</td>
<td valign="top" align="center">10.4</td>
<td valign="top" align="center">33.51</td>
<td valign="top" align="center">4.16</td>
<td valign="top" align="center">48.30</td>
<td valign="top" align="center">9.00</td>
</tr>
<tr>
<td valign="top" align="left">Indonesia</td>
<td valign="top" align="center">3,169</td>
<td valign="top" align="center">2.73</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">3.01</td>
<td valign="top" align="center">0.90</td>
<td valign="top" align="center">4.24</td>
<td valign="top" align="center">2.41</td>
<td valign="top" align="center">26.0</td>
<td valign="top" align="center">68.3</td>
<td valign="top" align="center">5.7</td>
<td valign="top" align="center">39.94</td>
<td valign="top" align="center">2.27</td>
<td valign="top" align="center">39.00</td>
<td valign="top" align="center">12.30</td>
</tr>
<tr>
<td valign="top" align="left">Iraq</td>
<td valign="top" align="center">1,156</td>
<td valign="top" align="center">1.77</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">3.58</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">4.46</td>
<td valign="top" align="center">1.83</td>
<td valign="top" align="center">41.3</td>
<td valign="top" align="center">21.5</td>
<td valign="top" align="center">37.3</td>
<td valign="top" align="center">36.59</td>
<td valign="top" align="center">2.84</td>
<td valign="top" align="center">29.50</td>
<td valign="top" align="center">11.33</td>
</tr>
<tr>
<td valign="top" align="left">Japan</td>
<td valign="top" align="center">1,044</td>
<td valign="top" align="center">2.47</td>
<td valign="top" align="center">0.58</td>
<td valign="top" align="center">3.28</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">4.27</td>
<td valign="top" align="center">2.72</td>
<td valign="top" align="center">31.5</td>
<td valign="top" align="center">48.6</td>
<td valign="top" align="center">19.9</td>
<td valign="top" align="center">56.42</td>
<td valign="top" align="center">4.43</td>
<td valign="top" align="center">32.90</td>
<td valign="top" align="center">43.24</td>
</tr>
<tr>
<td valign="top" align="left">Kazakhstan</td>
<td valign="top" align="center">1,058</td>
<td valign="top" align="center">2.81</td>
<td valign="top" align="center">0.71</td>
<td valign="top" align="center">3.26</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">5.53</td>
<td valign="top" align="center">1.68</td>
<td valign="top" align="center">29.3</td>
<td valign="top" align="center">56.0</td>
<td valign="top" align="center">14.7</td>
<td valign="top" align="center">41.83</td>
<td valign="top" align="center">4.82</td>
<td valign="top" align="center">27.50</td>
<td valign="top" align="center">27.44</td>
</tr>
<tr>
<td valign="top" align="left">South Korea</td>
<td valign="top" align="center">1,245</td>
<td valign="top" align="center">2.29</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center">3.24</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">4.84</td>
<td valign="top" align="center">1.38</td>
<td valign="top" align="center">24.9</td>
<td valign="top" align="center">67.6</td>
<td valign="top" align="center">7.5</td>
<td valign="top" align="center">45.63</td>
<td valign="top" align="center">4.12</td>
<td valign="top" align="center">31.60</td>
<td valign="top" align="center">43.03</td>
</tr>
<tr>
<td valign="top" align="left">Kyrgyzstan</td>
<td valign="top" align="center">1,154</td>
<td valign="top" align="center">2.26</td>
<td valign="top" align="center">0.78</td>
<td valign="top" align="center">3.57</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center">5.07</td>
<td valign="top" align="center">2.18</td>
<td valign="top" align="center">28.1</td>
<td valign="top" align="center">61.5</td>
<td valign="top" align="center">10.4</td>
<td valign="top" align="center">41.37</td>
<td valign="top" align="center">4.45</td>
<td valign="top" align="center">27.70</td>
<td valign="top" align="center">5.47</td>
</tr>
<tr>
<td valign="top" align="left">Lebanon</td>
<td valign="top" align="center">1,184</td>
<td valign="top" align="center">1.94</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">3.70</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">5.53</td>
<td valign="top" align="center">1.82</td>
<td valign="top" align="center">31.8</td>
<td valign="top" align="center">42.9</td>
<td valign="top" align="center">25.3</td>
<td valign="top" align="center">40.91</td>
<td valign="top" align="center">3.69</td>
<td valign="top" align="center">31.80</td>
<td valign="top" align="center">15.33</td>
</tr>
<tr>
<td valign="top" align="left">Malaysia</td>
<td valign="top" align="center">1,311</td>
<td valign="top" align="center">2.45</td>
<td valign="top" align="center">0.68</td>
<td valign="top" align="center">3.00</td>
<td valign="top" align="center">0.84</td>
<td valign="top" align="center">4.60</td>
<td valign="top" align="center">2.05</td>
<td valign="top" align="center">30.1</td>
<td valign="top" align="center">56.4</td>
<td valign="top" align="center">13.6</td>
<td valign="top" align="center">38.32</td>
<td valign="top" align="center">3.36</td>
<td valign="top" align="center">41.00</td>
<td valign="top" align="center">29.53</td>
</tr>
<tr>
<td valign="top" align="left">Mexico</td>
<td valign="top" align="center">1,699</td>
<td valign="top" align="center">1.65</td>
<td valign="top" align="center">0.68</td>
<td valign="top" align="center">3.42</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">4.22</td>
<td valign="top" align="center">2.38</td>
<td valign="top" align="center">27.7</td>
<td valign="top" align="center">57.7</td>
<td valign="top" align="center">14.6</td>
<td valign="top" align="center">43.19</td>
<td valign="top" align="center">3.04</td>
<td valign="top" align="center">45.40</td>
<td valign="top" align="center">20.41</td>
</tr>
<tr>
<td valign="top" align="left">Nicaragua</td>
<td valign="top" align="center">1,199</td>
<td valign="top" align="center">1.89</td>
<td valign="top" align="center">0.83</td>
<td valign="top" align="center">3.00</td>
<td valign="top" align="center">0.83</td>
<td valign="top" align="center">4.58</td>
<td valign="top" align="center">2.52</td>
<td valign="top" align="center">44.3</td>
<td valign="top" align="center">43.1</td>
<td valign="top" align="center">12.6</td>
<td valign="top" align="center">35.15</td>
<td valign="top" align="center">2.74</td>
<td valign="top" align="center">46.20</td>
<td valign="top" align="center">5.63</td>
</tr>
<tr>
<td valign="top" align="left">Pakistan</td>
<td valign="top" align="center">1,827</td>
<td valign="top" align="center">2.54</td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">3.68</td>
<td valign="top" align="center">0.69</td>
<td valign="top" align="center">4.41</td>
<td valign="top" align="center">2.30</td>
<td valign="top" align="center">17.9</td>
<td valign="top" align="center">55.4</td>
<td valign="top" align="center">26.7</td>
<td valign="top" align="center">35.58</td>
<td valign="top" align="center">2.17</td>
<td valign="top" align="center">33.50</td>
<td valign="top" align="center">4.88</td>
</tr>
<tr>
<td valign="top" align="left">Peru</td>
<td valign="top" align="center">1,350</td>
<td valign="top" align="center">1.44</td>
<td valign="top" align="center">0.56</td>
<td valign="top" align="center">3.47</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">4.98</td>
<td valign="top" align="center">1.91</td>
<td valign="top" align="center">34.2</td>
<td valign="top" align="center">59.1</td>
<td valign="top" align="center">6.7</td>
<td valign="top" align="center">40.23</td>
<td valign="top" align="center">3.34</td>
<td valign="top" align="center">42.80</td>
<td valign="top" align="center">13.38</td>
</tr>
<tr>
<td valign="top" align="left">Philippines</td>
<td valign="top" align="center">1,198</td>
<td valign="top" align="center">2.91</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center">3.30</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">4.40</td>
<td valign="top" align="center">2.08</td>
<td valign="top" align="center">49.8</td>
<td valign="top" align="center">41.6</td>
<td valign="top" align="center">8.6</td>
<td valign="top" align="center">43.71</td>
<td valign="top" align="center">2.34</td>
<td valign="top" align="center">44.40</td>
<td valign="top" align="center">9.28</td>
</tr>
<tr>
<td valign="top" align="left">Romania</td>
<td valign="top" align="center">1,047</td>
<td valign="top" align="center">1.82</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">3.34</td>
<td valign="top" align="center">0.72</td>
<td valign="top" align="center">5.41</td>
<td valign="top" align="center">1.95</td>
<td valign="top" align="center">26.1</td>
<td valign="top" align="center">58.5</td>
<td valign="top" align="center">15.4</td>
<td valign="top" align="center">48.01</td>
<td valign="top" align="center">3.24</td>
<td valign="top" align="center">36.00</td>
<td valign="top" align="center">32.30</td>
</tr>
<tr>
<td valign="top" align="left">Russia</td>
<td valign="top" align="center">1,608</td>
<td valign="top" align="center">2.34</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">3.08</td>
<td valign="top" align="center">0.83</td>
<td valign="top" align="center">4.79</td>
<td valign="top" align="center">1.93</td>
<td valign="top" align="center">34.6</td>
<td valign="top" align="center">46.4</td>
<td valign="top" align="center">19.0</td>
<td valign="top" align="center">45.73</td>
<td valign="top" align="center">4.85</td>
<td valign="top" align="center">37.50</td>
<td valign="top" align="center">29.18</td>
</tr>
<tr>
<td valign="top" align="left">Serbia</td>
<td valign="top" align="center">932</td>
<td valign="top" align="center">1.84</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">3.14</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">4.75</td>
<td valign="top" align="center">1.93</td>
<td valign="top" align="center">32.6</td>
<td valign="top" align="center">30.0</td>
<td valign="top" align="center">37.3</td>
<td valign="top" align="center">46.94</td>
<td valign="top" align="center">5.16</td>
<td valign="top" align="center">36.20</td>
<td valign="top" align="center">18.99</td>
</tr>
<tr>
<td valign="top" align="left">Vietnam</td>
<td valign="top" align="center">1,190</td>
<td valign="top" align="center">3.24</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">3.22</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">5.11</td>
<td valign="top" align="center">1.53</td>
<td valign="top" align="center">6.9</td>
<td valign="top" align="center">90.3</td>
<td valign="top" align="center">2.8</td>
<td valign="top" align="center">37.93</td>
<td valign="top" align="center">3.23</td>
<td valign="top" align="center">35.70</td>
<td valign="top" align="center">8.37</td>
</tr>
<tr>
<td valign="top" align="left">Zimbabwe</td>
<td valign="top" align="center">1,198</td>
<td valign="top" align="center">2.32</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">3.43</td>
<td valign="top" align="center">0.80</td>
<td valign="top" align="center">3.46</td>
<td valign="top" align="center">2.18</td>
<td valign="top" align="center">14.9</td>
<td valign="top" align="center">30.3</td>
<td valign="top" align="center">54.8</td>
<td valign="top" align="center">39.12</td>
<td valign="top" align="center">2.45</td>
<td valign="top" align="center">44.30</td>
<td valign="top" align="center">2.95</td>
</tr>
<tr>
<td valign="top" align="left">Tajikistan</td>
<td valign="top" align="center">1,177</td>
<td valign="top" align="center">3.18</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">3.54</td>
<td valign="top" align="center">0.73</td>
<td valign="top" align="center">5.63</td>
<td valign="top" align="center">1.59</td>
<td valign="top" align="center">17.9</td>
<td valign="top" align="center">67.4</td>
<td valign="top" align="center">14.7</td>
<td valign="top" align="center">41.21</td>
<td valign="top" align="center">4.26</td>
<td valign="top" align="center">34.00</td>
<td valign="top" align="center">3.52</td>
</tr>
<tr>
<td valign="top" align="left">Thailand</td>
<td valign="top" align="center">1,367</td>
<td valign="top" align="center">2.61</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">2.53</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">4.74</td>
<td valign="top" align="center">1.77</td>
<td valign="top" align="center">29.3</td>
<td valign="top" align="center">54.2</td>
<td valign="top" align="center">16.5</td>
<td valign="top" align="center">45.90</td>
<td valign="top" align="center">2.17</td>
<td valign="top" align="center">36.40</td>
<td valign="top" align="center">19.23</td>
</tr>
<tr>
<td valign="top" align="left">Tunisia</td>
<td valign="top" align="center">1,163</td>
<td valign="top" align="center">1.75</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">3.66</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center">4.72</td>
<td valign="top" align="center">2.02</td>
<td valign="top" align="center">15.0</td>
<td valign="top" align="center">53.7</td>
<td valign="top" align="center">31.4</td>
<td valign="top" align="center">43.07</td>
<td valign="top" align="center">2.56</td>
<td valign="top" align="center">32.80</td>
<td valign="top" align="center">11.20</td>
</tr>
<tr>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="center">2,260</td>
<td valign="top" align="center">2.73</td>
<td valign="top" align="center">0.68</td>
<td valign="top" align="center">3.23</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">5.34</td>
<td valign="top" align="center">1.72</td>
<td valign="top" align="center">27.7</td>
<td valign="top" align="center">45.8</td>
<td valign="top" align="center">26.5</td>
<td valign="top" align="center">38.83</td>
<td valign="top" align="center">2.35</td>
<td valign="top" align="center">41.90</td>
<td valign="top" align="center">27.88</td>
</tr>
<tr>
<td valign="top" align="left">Ukraine</td>
<td valign="top" align="center">1,130</td>
<td valign="top" align="center">1.81</td>
<td valign="top" align="center">0.69</td>
<td valign="top" align="center">3.19</td>
<td valign="top" align="center">0.73</td>
<td valign="top" align="center">4.46</td>
<td valign="top" align="center">1.92</td>
<td valign="top" align="center">25.7</td>
<td valign="top" align="center">52.4</td>
<td valign="top" align="center">21.9</td>
<td valign="top" align="center">47.90</td>
<td valign="top" align="center">4.93</td>
<td valign="top" align="center">26.10</td>
<td valign="top" align="center">13.34</td>
</tr>
<tr>
<td valign="top" align="left">Egypt</td>
<td valign="top" align="center">935</td>
<td valign="top" align="center">1.44</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">3.89</td>
<td valign="top" align="center">0.41</td>
<td valign="top" align="center">5.13</td>
<td valign="top" align="center">1.35</td>
<td valign="top" align="center">16.9</td>
<td valign="top" align="center">35.8</td>
<td valign="top" align="center">47.3</td>
<td valign="top" align="center">39.02</td>
<td valign="top" align="center">2.86</td>
<td valign="top" align="center">31.50</td>
<td valign="top" align="center">12.25</td>
</tr>
<tr>
<td valign="top" align="left">United States</td>
<td valign="top" align="center">2,505</td>
<td valign="top" align="center">2.11</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center">2.97</td>
<td valign="top" align="center">0.83</td>
<td valign="top" align="center">5.04</td>
<td valign="top" align="center">1.88</td>
<td valign="top" align="center">32.1</td>
<td valign="top" align="center">46.7</td>
<td valign="top" align="center">21.1</td>
<td valign="top" align="center">43.62</td>
<td valign="top" align="center">4.89</td>
<td valign="top" align="center">41.40</td>
<td valign="top" align="center">65.28</td>
</tr>
</tbody>
</table></table-wrap>
</sec>
<sec id="S2.SS2">
<title>Outcome Variable</title>
<p><bold>System justification</bold> has been operationalized in many ways by its principal proponent, such as out-group favoritism (<xref ref-type="bibr" rid="B23">Jost et al., 2004</xref>), general and economic system justification (<xref ref-type="bibr" rid="B27">Jost and Thompson, 2000</xref>; <xref ref-type="bibr" rid="B30">Kay and Jost, 2003</xref>), and trust/confidence in government (<xref ref-type="bibr" rid="B26">Jost et al., 2003</xref>) among others. In this study, we focused on the last operationalization (i.e., trust in government), which we assessed with four items asking participants to indicate the extent to which they were confident in the institutions of governance of their society, namely, parliament, government, political parties, and justice system/courts (1 = <italic>a great deal</italic>, 4 = <italic>not at all</italic>, reverse scored). We focused on trust in government (and its apparatuses) because it satisfies several auxiliary conditions that should enable the system motive to manifest. Because this system motive is theorized to be in conflict with the personal/group interests of people in disadvantaged groups (<xref ref-type="bibr" rid="B26">Jost et al., 2003</xref>, <xref ref-type="bibr" rid="B23">2004</xref>), it should create an obstacle for our personal/group-interested predictions to operate. Specifically, systems of governance are institutions that objectively high-, intermediate-, and low-status people are often highly dependent on, also because these entities are stable and inescapable realities of citizens&#x2019; existence (<xref ref-type="bibr" rid="B29">Kay et al., 2009</xref>; <xref ref-type="bibr" rid="B17">Friesen et al., 2019</xref>; <xref ref-type="bibr" rid="B21">Jost, 2019</xref>). The inability to escape governments that regulate sub-systems that undermine people&#x2019;s outcomes could cause a sense of personal control to decrease (<xref ref-type="bibr" rid="B28">Kay and Friesen, 2011</xref>; <xref ref-type="bibr" rid="B31">Laurin et al., 2013</xref>), and these situations should allow the system motive to take a prime position, while personal and group motives should be relegated to the rear position (based on SJT), meaning that it should be more difficult to find supportive evidence for the interest-based predictions derived from SIMSA and TSST, especially for low- and intermediate-status groups. A multilevel confirmatory factor analysis revealed that the four items on this scale had adequate reliability both within (<italic>a</italic> = 0.82) and between nations (<italic>a</italic> = 0.97). Items were then averaged so that higher scores indicate higher system justification (i.e., trust in governance).</p>
</sec>
<sec id="S2.SS3">
<title>Predictors</title>
<p><bold>National identification</bold> was measured with a single item asking participants &#x201C;how close do you feel to your country?&#x201D; (1 = <italic>very close</italic>, 4 = <italic>not close at all</italic>), which was reversed so that higher scores indicated high levels of national identification.</p>
<p><bold>A within-group temporal comparison</bold> was measured with a single item asking participants &#x201C;comparing your standard of living with your parents&#x2019; standard of living when they were about your age, would you say that you are better off, worse off, or about the same?&#x201D; (1 = <italic>better off</italic>, 2 = <italic>worse off</italic>, and 3 = <italic>about the same</italic>).</p>
<p><bold>An income-based social comparison</bold> was measured with a single item asking participants &#x201C;On this card is an income scale on which 1 indicates the lowest income group and 10 the highest income group in your country. We would like to know in what group your household is. Please, specify the appropriate number, counting all wages, salaries, pensions, and other incomes that come in.&#x201D;</p>
</sec>
<sec id="S2.SS4">
<title>Control Variables</title>
<p>To control for the effect of other levels of social advantage and being, thus, able to better estimate the effect of variables of interest to our test, we added some level-1 and level-2 covariates. At level-1, we considered gender, age, and the higher level of education attained by participants (0 = Early childhood education, 8 = Doctoral or equivalent)<sup><xref ref-type="fn" rid="footnote2">2</xref></sup>. At the country level, we considered the GINI index and GDP PPP (Gross Domestic Product based on Purchasing Power Parity) to account for the potential effect of objective wealth inequality in the nation (higher GINI indicates higher inequality) and national wealth level (both GDP and GINI were taken from the WVS database).</p>
</sec>
<sec id="S2.SS5">
<title>Analysis</title>
<p>We performed a series of multilevel hierarchical models in which country was the nesting variable. Model 1 considered income (i.e., social comparison) and national identification as the predictors of system justification (i.e., trust in national governance). In Model 2, we added temporal comparison as a predictor. The income-based social comparison was coded using two dummy variables considering &#x201C;the same&#x201D; as a reference category. Model 3 added interactions between national identification and temporal and social comparisons to control for potential interactive effects. In all models, level-1 continuous variables were centered within nations while level-2 covariates were grand-mean centered. The slopes of all level-1 predictors were allowed to have random variation across nations, while covariates were treated as fixed effects. Analyses were performed with restricted maximum likelihood estimation using the lme4 package (<xref ref-type="bibr" rid="B2">Bates et al., 2015</xref>) in R (<xref ref-type="bibr" rid="B42">R Core Team, 2021</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="S3">
<title>Results</title>
<sec id="S3.SS1">
<title>Preliminary Analysis</title>
<p><xref ref-type="table" rid="T2">Table 2</xref> reports both level-1 and level-2 zero-order correlations and descriptive statistics of measured constructs. At the individual level (refer to the correlation coefficients above the diagonal), the resulting associations between the principal variables were generally weak in magnitude but in the expected direction. Notably, system justification was positively correlated with (1) positive temporal comparison, (2) national identification, and (3) income. With respect to the control variables: women, older and less educated people appeared to be more likely to justify the system.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Zero-order correlations and descriptive statistics for variables at level-1 (upper triangle) and level-2 (lower triangle).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"><italic>M (National level)</italic></td>
<td valign="top" align="center"><italic>SD</italic></td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">7</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1. System justification</td>
<td valign="top" align="center">2.24</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.16<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.05<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.01<xref ref-type="table-fn" rid="t2fn1">&#x002A;</xref></td>
<td valign="top" align="center">0.01<xref ref-type="table-fn" rid="t2fn1">&#x002A;</xref></td>
<td valign="top" align="center">0.01<xref ref-type="table-fn" rid="t2fn1">&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;0.10<xref ref-type="table-fn" rid="t2fn1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">2. Temporal comparison^</td>
<td valign="top" align="center">1.35</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">0.48<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.03<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.14<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.04<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">3. National identification</td>
<td valign="top" align="center">3.27</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">&#x2013;0.19</td>
<td valign="top" align="center">&#x2013;0.24</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.04<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;0.03<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.08<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.02<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">4. Income</td>
<td valign="top" align="center">4.82</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2212;0.03<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;0.12<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.26<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">5. Sex (0 = Male)</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.32<xref ref-type="table-fn" rid="t2fn1">&#x002A;</xref></td>
<td valign="top" align="center">&#x2013;0.14</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2212;0.02<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;0.04<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">6. Age</td>
<td valign="top" align="center">42.28</td>
<td valign="top" align="center">5.31</td>
<td valign="top" align="center">&#x2013;0.02</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">&#x2013;0.07</td>
<td valign="top" align="center">0.48<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2212;0.13<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">7. Education</td>
<td valign="top" align="center">3.38</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">&#x2013;0.17</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">0.33<xref ref-type="table-fn" rid="t2fn1">&#x002A;</xref></td>
<td valign="top" align="center">0.39<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.50<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">8. GINI</td>
<td valign="top" align="center">37.55</td>
<td valign="top" align="center">6.70</td>
<td valign="top" align="center">&#x2013;0.25</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">&#x2212;0.40<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">&#x2013;0.27</td>
<td valign="top" align="center">&#x2013;0.21</td>
<td valign="top" align="center">&#x2013;0.25</td>
<td valign="top" align="center">&#x2013;0.26</td>
</tr>
<tr>
<td valign="top" align="left">9. GPD PPP (&#x0024;)/1000</td>
<td valign="top" align="center">20.15</td>
<td valign="top" align="center">15.64</td>
<td valign="top" align="center">&#x2013;0.06</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">&#x2013;0.07</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.68<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.54<xref ref-type="table-fn" rid="t2fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>M (Individual level)</italic></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">2.29</td>
<td valign="top" align="center">1.38</td>
<td valign="top" align="center">3.25</td>
<td valign="top" align="center">4.78</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center">42.16</td>
<td valign="top" align="center">3.32</td>
</tr>
<tr>
<td valign="top" align="left">x<italic>SD</italic></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.83</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">0.81</td>
<td valign="top" align="center">2.07</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">15.97</td>
<td valign="top" align="center">2.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t2fn1"><p><italic>&#x002A;<italic>p</italic> &#x003C; 0.01; &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001; ^ 0 = worse off, 1 = the same, 2 = better off. <italic>N</italic> for upper diagonal = 55,721; <italic>N</italic> for lower triangle = 40.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS2">
<title>Hierarchical-Level Modeling</title>
<p>Supporting the use of multilevel modeling, a null model in which only the intercept varied randomly across nations revealed that 36.4% of the variance in system justification was due to the different nations represented in the survey [Intraclass correlation (ICC) = 0.364; &#x03C7;<sup>2</sup>(1) = 25638.00, <italic>p</italic> &#x003C; 0.001].</p>
<p><xref ref-type="table" rid="T3">Table 3</xref> depicts results from the estimated models. First, models indicated that people, on average, did not express much trust in the system of governance of their nation (i.e., their level of system justification was low). More importantly, as indicated, both income and national identification were significantly and positively associated with system justification in all models. Model 2 indicated, as expected, a main effect of temporal comparison <italic>F</italic>(2, 37) = 21.22, <italic>p</italic> &#x003C; 0.001 so that those who believed that their situation has worsened now than what it was in the past justified the system significantly less (<italic>M</italic> = 2.13, SE = 0.072) than people who believed that their social condition was the same (at least relative to their parents, <italic>M</italic> = 2.22, SE = 0.075). Moreover, those who believed that their situation has somewhat stagnated (i.e., &#x201C;the same&#x201D; group) were also less likely to justify the system compared with those who reported being better off now than in the past (<italic>M</italic> = 2.26, SE = 0.079).</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Fixed effects of model estimations.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">Null model</td>
<td valign="top" align="center">Model 1</td>
<td valign="top" align="center">Model 2</td>
<td valign="top" align="center">Model 3</td>
</tr>
<tr>
<td valign="top" align="center"></td>
<td valign="top" align="center" colspan="4"><hr/></td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"><italic>b</italic> (SE)</td>
<td valign="top" align="center"><italic>b</italic> (SE)</td>
<td valign="top" align="center"><italic>b</italic> (SE)</td>
<td valign="top" align="center"><italic>b</italic> (SE)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Income [cwc]</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.017 (0.005)<xref ref-type="table-fn" rid="t3fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.013 (0.005)<xref ref-type="table-fn" rid="t3fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.013 (0.005)<xref ref-type="table-fn" rid="t3fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Temporal comparison: The same vs. worse off (D1)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x2212;0.089 (0.015)<xref ref-type="table-fn" rid="t3fn1">&#x002A;&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;0.090 (0.015)<xref ref-type="table-fn" rid="t3fn1">&#x002A;&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Temporal comparison: The same vs. better off (D2)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.041 (0.015)<xref ref-type="table-fn" rid="t3fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.041 (0.015)<xref ref-type="table-fn" rid="t3fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">National identification [cwc]</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.091 (0.012)<xref ref-type="table-fn" rid="t3fn1">&#x002A;&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.088 (0.011)<xref ref-type="table-fn" rid="t3fn1">&#x002A;&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.100 (0.013)<xref ref-type="table-fn" rid="t3fn1">&#x002A;&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Identification &#x00D7; Income</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.002 (0.002)</td>
</tr>
<tr>
<td valign="top" align="left">Temporal comparison (D1) &#x00D7; Identification</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x2212;0.031 (0.011)<xref ref-type="table-fn" rid="t3fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Temporal comparison (D2) &#x00D7; Identification</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x2212;0.011 (0.009)</td>
</tr>
<tr>
<td valign="top" align="left">Sex [0 = Male]</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.017 (0.006)<xref ref-type="table-fn" rid="t3fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.017 (0.006)<xref ref-type="table-fn" rid="t3fn1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.017 (0.006)<xref ref-type="table-fn" rid="t3fn1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Age [cwc]</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.000 (0.000)</td>
<td valign="top" align="center">0.000 (0.000)</td>
<td valign="top" align="center">0.000 (0.000)</td>
</tr>
<tr>
<td valign="top" align="left">Education level [cwc]</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x2212;0.022 (0.002)<xref ref-type="table-fn" rid="t3fn1">&#x002A;&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;0.021 (0.002)<xref ref-type="table-fn" rid="t3fn1">&#x002A;&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;0.021 (0.002)<xref ref-type="table-fn" rid="t3fn1">&#x002A;&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">GINI [gmc]</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x2212;0.022 (0.011)^</td>
<td valign="top" align="center">&#x2212;0.019 (0.010)<sup><xref ref-type="table-fn" rid="t3fn1">&#x2020;</xref></sup></td>
<td valign="top" align="center">&#x2212;0.018 (0.010)<sup><xref ref-type="table-fn" rid="t3fn1">&#x2020;</xref></sup></td>
</tr>
<tr>
<td valign="top" align="left">GDP PPP (&#x0024;)/10000 [gmc]</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x2212;0.026 (0.048)</td>
<td valign="top" align="center">&#x2212;0.032 (0.045)</td>
<td valign="top" align="center">&#x2212;0.032 (0.045)</td>
</tr>
<tr>
<td valign="top" align="left">Intercept</td>
<td valign="top" align="center">2.24 (0.079)</td>
<td valign="top" align="center">2.21 (0.078)</td>
<td valign="top" align="center">2.21 (0.075)</td>
<td valign="top" align="center">2.21 (0.075)</td>
</tr>
<tr>
<td valign="top" align="left">N</td>
<td valign="top" align="center">55,721</td>
<td valign="top" align="center">55,721</td>
<td valign="top" align="center">55,721</td>
<td valign="top" align="center">55,721</td>
</tr>
<tr>
<td valign="top" align="left">ICC</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">0.37</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">0.37</td>
</tr>
<tr>
<td valign="top" align="left">AIC</td>
<td valign="top" align="center">111786.40</td>
<td valign="top" align="center">110282.80</td>
<td valign="top" align="center">109885.80</td>
<td valign="top" align="center">109908.30</td>
</tr>
<tr>
<td valign="top" align="left">BIC</td>
<td valign="top" align="center">111813.20</td>
<td valign="top" align="center">110416.70</td>
<td valign="top" align="center">110118.00</td>
<td valign="top" align="center">110167.30</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t3fn1"><p><italic>cwc, centered within clusters; gmc, grand-mean centered. <sup><xref ref-type="table-fn" rid="t3fn1">&#x2020;</xref></sup><italic>p</italic> &#x003C; 0.09, ^ <italic>p</italic> = 0.056, &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001. Model 1: predictors were income and national identification; Model 2: temporal comparison (dummy coded, D1 and D2) was added as a predictor; Model 3: interactions between national identification and social and temporal comparison were added.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>Considering covariates, results indicated that women justified their national systems of governance more than men did. Interestingly, more educated people were <italic>less</italic> (not more) likely to justify their societal systems of governance. GDP (i.e., the objective index of societal wealth) and GINI (i.e., the objective index of societal-level inequality) appeared to have no significant main effects on system justification in the current data.</p>
<p>On an exploratory basis, we considered, in Models 3, the interactions between national identification and temporal and social comparisons, given our <italic>a priori</italic> speculation that national identification could actually fade (or suppress) the effects of social/temporal comparisons on system justification. Results revealed that national identification &#x00D7; income interaction was not significant (<italic>b</italic> = 0.002, SE = 0.002, <italic>p</italic> = 0.235), suggesting that social comparison is by-and-large a unique explanation for system justification that may not necessarily be contingent on superordinate identification (at least in this case). However, national identification interacted with temporal comparison to predict system justification, <italic>F</italic>(2, 43,0341) = 3.867. <italic>p</italic> = 0.021. When we decomposed this interaction by examining the association between temporal comparisons and system justification when superordinate (national) identification was high (<italic>M</italic> + 1SD) vs. low (<italic>M</italic>-1SD), we found, consistent with our speculation, that positive temporal comparisons seem to work best, in terms of its boosting effect on system justification, when national identification was low (&#x0394;<italic>b</italic><sub><italic>same</italic>&#x2013;worse</sub> = 0.07, SE = 0.02, <italic>p</italic> = 0.0003; &#x0394;<italic>b</italic><sub><italic>better</italic>&#x2013;same</sub> = 0.05, SE = 0.02, <italic>p</italic> = 0.006). Meanwhile, when superordinate (national) identification was high, positive temporal comparisons significantly predicted an increase in system justification also, but only in relation to the same vs. worse-off contrast (&#x0394;<italic>b</italic><sub><italic>same&#x2013;worse</italic></sub> = 0.11, SE = 0.02, <italic>p</italic> &#x003C; 0.0001) and the better-off vs. worse-off contrast (&#x0394;<italic>b</italic><sub><italic>better&#x2013;worse</italic></sub> = 0.15, SE = 0.02, <italic>p</italic> &#x003C; 0.0001), but not in relation to the better-off vs. same contrast (&#x0394;<italic>b</italic><sub><italic>same&#x2013;better</italic></sub> = &#x2212;0.03, SE = 0.02, <italic>p</italic> = 0.120).</p>
</sec>
</sec>
<sec sec-type="discussion" id="S4">
<title>Discussion</title>
<p>Do superordinate identification and social/temporal comparisons independently predict trust in systems of governance (i.e., system justification)? To answer this question, we simultaneously tested for unique contributions of distinct explanations from the social identity tradition (i.e., SIMSA and TSST). We wanted to observe whether the empirical evidence supports their theorized independence. Results were supportive of their theorized uniqueness: That is, as independent insights into the system justification phenomenon. Specifically, and as expected, national identification (as per SIMSA), temporal comparison, and income-based social comparison (as per TSST) independently predicted system justification along theorized lines, and accounting for either of these explanations did not obscure the visibility of the other accounts. In fact, national identification was positively associated with system justification despite accounting for social/temporal comparisons and vice versa.</p>
<p>In particular, the finding that favorable social comparisons boosted system justification conceptually replicates the studies by <xref ref-type="bibr" rid="B8">Caricati and Lorenzi-Cioldi (2012)</xref> and <xref ref-type="bibr" rid="B6">Caricati (2017)</xref> and indicates that people who benefit from the <italic>status quo</italic> are also more inclined to believe in (and support) that system. According to TSST, this might be because the possibility to find positive downward comparison becomes enhanced as income rises: That is, as the income of people increases, more opportunities for downward comparison becomes apparent, and therefore, the greater the potential for them to enhance their self-worth by looking at others who have not made it as far as they did.</p>
<p>Nonetheless, we acknowledged that the sizes of the effects that were detected in the current analyses were quite &#x201C;tiny&#x201D; (<xref ref-type="bibr" rid="B12">Cohen, 1988</xref>). This leaves open the possibility that system justification could also be affected by other variables beyond the ones that we set out to test. For example, results indicated that &#x201C;country&#x201D; explained a significant portion of the variance in system trust and this potentially suggests that the contextual conditions of national functioning, as well as culture-related factors, might jointly impact the level of trust of people in their national governments. In this study, we considered only two national factors that were relevant for the intent of the research [i.e., GINI index and gross domestic product based on purchasing power parity (GDP PPP)]. However, it is important to emphasize that we were limited in our use of the current secondary data to obtain appropriate measures of variables relevant to other SIMSA explanations (e.g., hope for future improvement, <xref ref-type="bibr" rid="B5">Bonetti et al., 2021</xref>; <xref ref-type="bibr" rid="B37">Owuamalam et al., 2021</xref>; and social reality caveats, <xref ref-type="bibr" rid="B40">Owuamalam et al., 2019a</xref>) and, for TSST, to directly test the applicability of the fear-of-falling assumption underlying system justification among intermediately positioned groups (<xref ref-type="bibr" rid="B10">Caricati and Owuamalam, 2020</xref>; <xref ref-type="bibr" rid="B9">Caricati et al., 2020</xref>). Future studies could address these shortcomings using primary data. Such future research could also incorporate other key assumptions underlying both SIMSA and TSST, concerning the manner in which the stability and legitimacy of social stratification could impact system-justifying attitudes (e.g., trust in government) of low- and intermediate-status groups.</p>
<p>Beyond the foregoing limitations, our results suggest, for the most part, that system justification can result from rational choices that people are making to support a system: (1) to which they feel connected and (2) which provides the opportunity to enhance self-worth by positive social and temporal comparisons. These results are important because they cast some doubt over the claim (elsewhere in the literature on SJT) that the system-justifying attitudes of the disadvantaged (including intermediately positioned ones) are irrational (<xref ref-type="bibr" rid="B21">Jost, 2019</xref>). It is to be recalled that the bifocal lens of SJT only recognizes the advantaged vs. disadvantaged and, from the standpoint that the system-justifying attitudes of disadvantaged are irrational (<xref ref-type="bibr" rid="B21">Jost, 2019</xref>), it would be tempting to conclude the system support of those disadvantaged people who are intermediately positioned in the income distribution, also does not make sense. But, in this study, we have shown that it does make sense because, similar to their wealthier counterparts, the middle (income) class people are uniquely positioned to experience not only the &#x201C;lows&#x201D; of the <italic>status quo</italic> (e.g., when the focus of comparison is upward) but also its &#x201C;highs&#x201D; (e.g., when the focus of comparison is downward). Therefore, disadvantaged people who are intermediately positioned in the status hierarchy (e.g., the middle class) are the ones, by virtue of their unique position, better able to notice that upward mobility is possible and, consequently, also the ones more likely to have a <italic>realistic</italic> hope that things will get even better in the future, and this can cause support for systems that permit this optimism to thrive (<xref ref-type="bibr" rid="B37">Owuamalam et al., 2021</xref>). In short, disadvantaged people in the middle of the income ladder can (and do) support the systems of governance of their nations. Such an orientation may not necessarily be because they are driven by an irrational system motive, but because there is ample opportunity to favorably compare their outcomes with others who are lower than they are in the income distribution (<xref ref-type="bibr" rid="B10">Caricati and Owuamalam, 2020</xref>), in manners that provide a realistic hope that future improvements to their outcomes in the existing system are also possible (<xref ref-type="bibr" rid="B37">Owuamalam et al., 2021</xref>). Worthy of note is the incidental temporal (but not social) comparisons by national identification interaction effect on system justification. Specifically, we found that positive temporal comparisons were best at boosting system justification for those who are weakly identified with their nation (i.e., system justification increases from negative temporal comparison to positive temporal comparison). Interestingly, however, and for those strongly identified with their nation, favorable temporal comparisons only boosted support for societal systems when the frame of reference concerned a point in time people felt that they were worse off than their parents (e.g., those who experienced improvement or stagnation of their social condition justified the system to the same extent). Thus, although a strong superordinate identification could soften the boosting effect of positive temporal comparisons on system justification as we had speculated, this trend seems to be specific to those instances where temporal contrasts were unlikely to have had a measurable boost in people&#x2019;s self-worth (i.e., a comparison between better off vs. same is unlikely to matter much to self-worth [because the outcome deficit is narrower] compared to when the frame of reference is being worse off). However, we acknowledged the exploratory nature of the current findings, and future experimental studies could build on this initial correlational evidence to confirm whether elevated self-esteem/worth is, in fact, the mechanism that drives the boosting effect of positive temporal comparisons on system justification among people whose support for the <italic>status quo</italic> already benefits from a strong investment in their superordinate in-group.</p>
<sec id="S4.SS1">
<title>Limitation</title>
<p>This research, as any other correlational research, does not allow causal inference, and thus, some caution is needed in this respect. For example, it is possible that people who strongly trust their national institutions may identify strongly with their national in-group, rather than the opposite. However, when we examined this possibility, we found that a model in which national identification was the dependent variable and system justification (i.e., trust in governance) was the predictor, also produced a positive relationship, <italic>b</italic> = 0.118, SE = 0.02, <italic>p</italic> &#x003C; 0.001, although the fit of this latter model was reliably poorer than the preferred reverse (i.e., Model 2), based on poorer fit indices (difference between Model 2 and alternative model: &#x0394;AIC = &#x2212;16948.90, &#x0394;BIC = &#x2212;16948.90, &#x0394;ICC = 0.24, <xref ref-type="table" rid="T3">Table 3</xref>). Note that even though this reverse causation is plausible, it would imply that a credible system provides individuals with a reason to identify with their nation, and this outcome will be more consistent with the rationality implied in the social identity perspective than with the irrationality implied in competing frameworks that assume system justification has less (if at all anything) to do with social identity needs.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="S5">
<title>Conclusion</title>
<p>The fact that the disadvantaged people more or less tolerate societal systems that anchor the inequality that adversely affects them could be puzzling, especially in places where the assumption that people can change realities that do not work for them is strong (e.g., Western democracies). However, this puzzle begins to wane when consideration is given to the following:</p>
<list list-type="simple">
<list-item>
<label>a)</label>
<p>The extent to which disadvantaged people take pride in, or identify with a superordinate (national) in-group that provides another source for positive social esteem;</p>
</list-item>
<list-item>
<label>b)</label>
<p>The favorable social comparisons that could allow people to boost their sense of self-worth, especially those disadvantaged people who are intermediately positioned within the status hierarchy;</p>
</list-item>
<list-item>
<label>c)</label>
<p>The favorable temporal comparison that allows the disadvantaged to feel worthy, even if their outcomes may not be as promising as those of individuals who come from more affluent backgrounds.</p>
</list-item>
</list>
<p>In the foregoing situations, our data shows that intermediately positioned people (either socially or temporally favored with regard to the outcome of the comparison, or simply by embracing their superordinate in-group) can trust and support existing societal arrangements because these realities meet their social identity needs. In short, we demonstrated that the superordinate in-group bias account as well as social and temporal comparisons offer unique insights into the system-justifying attitudes of the disadvantaged (especially those who are intermediately positioned).</p>
</sec>
<sec sec-type="data-availability" id="S6">
<title>Data Availability Statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found here: <ext-link ext-link-type="uri" xlink:href="https://www.worldvaluessurvey.org/WVSDocumentationWV7.jsp">https://www.worldvaluessurvey.org/WVSDocumentationWV7.jsp</ext-link>.</p>
</sec>
<sec id="S7">
<title>Ethics Statement</title>
<p>Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="S8">
<title>Author Contributions</title>
<p>LC and CO contributed equally in drafting and revising the manuscript, data analysis, and data interpretation. CB involved in drafting and revising the manuscript. All authors contributed to the article and approved the submitted version.</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>
</sec>
<sec sec-type="disclaimer" id="S13">
<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>
</body>
<back>
<sec id="S9" sec-type="supplementary material"><title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpsyg.2021.745168/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpsyg.2021.745168/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.PDF" id="DS1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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<label>1</label>
<p>On the whole, there were 21.3% of missing values of which 4.6% were on the dependent variable.</p></fn>
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<label>2</label>
<p>We planned to also include left-right political orientation (1 = left, 10 = right). However, this measure was not administered in nine countries and was missing for many participants, so that its inclusion would have decreased sample size to 36,918, representing an attrition rate of more than 30%. Given that political orientation was not a principal variable in this study and that its inclusion did not change results substantially, we decided not to include political orientation in our main analysis. For the sake of transparency, we also reported the results of the models with political orientation as covariate in <xref ref-type="supplementary-material" rid="DS1">Supplementary Tables 1</xref>, <xref ref-type="supplementary-material" rid="DS1">2</xref>.</p></fn>
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