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<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>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2021.742199</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>Sociomoral Temperament: A Mediator Between Wellbeing and Social Outcomes in Young Children</article-title>
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<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Narvaez</surname> <given-names>Darcia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1288965/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Gleason</surname> <given-names>Tracy</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Tarsha</surname> <given-names>Mary</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/472439/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Woodbury</surname> <given-names>Ryan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Cheng</surname> <given-names>Ying</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Lijuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Psychology, University of Notre Dame</institution>, <addr-line>Notre Dame, IN</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Psychology, Wellesley College</institution>, <addr-line>Wellesley, MA</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Simona Carla Silvia Caravita, University of Stavanger, Norway</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Sha Xie, Shenzhen University, China; Concetta Esposito, University of Naples Federico II, Italy</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Darcia Narvaez <email>dnarvaez&#x00040;nd.edu</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Developmental Psychology, a section of the journal Frontiers in Psychology</p></fn>
<fn fn-type="equal" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>11</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>742199</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>10</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Narvaez, Gleason, Tarsha, Woodbury, Cheng and Wang.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Narvaez, Gleason, Tarsha, Woodbury, Cheng and Wang</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>Social outcomes, such as empathy, conscience, and behavioral self-regulation, might require a baseline of psychological wellbeing. According to Triune Ethics Metatheory (TEM), early experience influences the neuropsychology underlying a child&#x00027;s orientation toward the social and moral world. Theoretically, a child&#x00027;s wellbeing, fostered through early caregiving, promotes sociomoral temperaments that correspond to the child&#x00027;s experience, such as social approach or withdrawal in face-to-face situations. These temperaments may represent an individual&#x00027;s default sociomoral perspective on the world. We hypothesized that sociomoral temperament emerges as a function of wellbeing and would be related to social outcomes measured by moral socialization and self-regulation. Further, we hypothesized that sociomoral temperament would mediate the relationship between wellbeing and social outcomes. To investigate, we collected items reflective of sociomoral temperament, asking mothers from two countries (USA: <italic>n</italic> = 525; China: <italic>n</italic> = 379) to report on their 3- to 5-year-old children. They also reported on their child&#x00027;s wellbeing (anxiety, depression, happiness) and social outcomes, including moral socialization (concern after wrong doing, internalized conduct and empathy) and behavioral self-regulation (inhibitory control and misbehavior). As expected, correlations identified connections between wellbeing, sociomoral temperament, and social outcomes. Mediation analyses demonstrated that sociomoral temperament mediated relations between wellbeing and social outcomes in both samples, though in slightly different patterns. Fostering early wellbeing may influence social outcomes through a child&#x00027;s developing sociomoral temperament.</p></abstract>
<kwd-group>
<kwd>sociomoral</kwd>
<kwd>wellbeing</kwd>
<kwd>temperament</kwd>
<kwd>self-regulation</kwd>
<kwd>social behavior</kwd>
<kwd>child development</kwd>
<kwd>socialization</kwd>
<kwd>triune ethics</kwd>
</kwd-group>
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<table-count count="8"/>
<equation-count count="0"/>
<ref-count count="74"/>
<page-count count="16"/>
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</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Historically, research on morality has focused on cognition, emphasizing the development of moral reasoning and judgment (Kohlberg, <xref ref-type="bibr" rid="B32">1984</xref>; Rest, <xref ref-type="bibr" rid="B57">1986</xref>; Turiel, <xref ref-type="bibr" rid="B71">2006</xref>). More recently, psychologists have started integrating the socio-emotional aspects of moral functioning, such as empathy and social cooperation (Killen and Smetana, <xref ref-type="bibr" rid="B23">2015</xref>), with the cognitive domain (Padilla-Walker and Carlo, <xref ref-type="bibr" rid="B53">2014</xref>), but little work to date has examined the role of psychological wellbeing as a precursor to moral outcomes. This oversight is puzzling given that attending to the needs of others is compromised if individuals are distracted by their own distress (Batson and Oleson, <xref ref-type="bibr" rid="B1">1991</xref>). Wellbeing, including not just the absence of psychopathology but also happiness and thriving, might well be essential for sociomoral capacities, such as empathy and conscience. As a foundation for interacting with the social world, a child&#x00027;s wellbeing theoretically fosters a particular &#x0201C;sociomoral temperament&#x0201D;&#x02014;an orientation toward others&#x02014;that either hinders or enables moral social behavior. Given the connections between poor wellbeing and chronic distress (e.g., Lanius et al., <xref ref-type="bibr" rid="B33">2010</xref>), we hypothesized that wellbeing established early in development might be linked to sociomoral temperament, and that individual differences in wellbeing and consequent sociomoral temperament might contribute to variations in moral behavior. If so, intervention efforts designed to promote wellbeing and positive sociomoral temperaments in early childhood might have significant implications for children&#x00027;s social outcomes.</p>
<p>Empirical work supports the notion of a tie between wellbeing and moral outcomes. For example, the significantly compromised wellbeing caused by early toxic stress undermines self-regulatory capacities fundamental for sociality, such as the physiological stress response (Lupien et al., <xref ref-type="bibr" rid="B37">2009</xref>) and vagal tone (Porges, <xref ref-type="bibr" rid="B54">2011</xref>). Similarly, Kochanska and colleagues (e.g., Kochanska, <xref ref-type="bibr" rid="B28">2002</xref>; Kochanska et al., <xref ref-type="bibr" rid="B30">2005</xref>) have written extensively on the Mutually Responsive Orientation (MRO)&#x02014;the emotional climate of the early parent-child relationship that promotes the development of conscience and the internalization of social mores. While the MRO and wellbeing are not synonymous, a positive emotional environment is a likely component of wellbeing in early childhood. How exactly positive wellbeing connects to outcomes is unclear, so in this work we focused on the details of the implicit systems that result in the &#x0201C;ethical knowhow&#x0201D; (Varela, <xref ref-type="bibr" rid="B73">1999</xref>) necessary for children to exhibit moral behavior. These implicit systems mediating between psychological wellbeing and children&#x00027;s social outcomes is what we are assessing through our measure of sociomoral temperament.</p>
</sec>
<sec id="s2">
<title>Wellbeing and Sociomoral Temperament</title>
<p>The idea that wellbeing might have implications for sociomoral temperament has its roots in the relational developmental systems view (Overton, <xref ref-type="bibr" rid="B52">2013</xref>). This perspective suggests that human functioning is not just psychological but deeply embodied, such that a child&#x00027;s wellbeing is a function of neurobiological architecture that shapes implicit assumptions and expectations about social interactions and relationships (Schore, <xref ref-type="bibr" rid="B65">2019</xref>). Animal studies demonstrate that poor wellbeing is associated with cacostatic responses to social situations, such as aggression or withdrawal (Harlow, <xref ref-type="bibr" rid="B17">1958</xref>). We hypothesized that in humans, this link between wellbeing and behavior might be mediated by implicit expectations regarding social interactions, or sociomoral temperament.</p>
<p>Although the relation between wellbeing and sociomoral temperament has not received significant attention in children, for adults, states of wellbeing are related to moral functioning (e.g., Frederickson and Branigan, <xref ref-type="bibr" rid="B11">2005</xref>), and dispositional wellbeing (e.g., agreeableness) predicts prosociality (Meier et al., <xref ref-type="bibr" rid="B39">2006</xref>). Likewise, in adult retrospective reports, Narvaez et al. (<xref ref-type="bibr" rid="B49">2016b</xref>) found that poor wellbeing, identified as subclinical psychopathology (depression and anxiety), predicted self-protective sociomoral temperaments emphasizing social opposition or withdrawal, whereas higher wellbeing (a lack of subclinical psychopathology) was associated with a sociomoral temperament characterized by engagement and social approach. We tested whether similar relations could be established as early as the preschool years, given our theory that sociomoral temperament emerges early in development when personality temperament is likewise being formed (Rothbart and Bates, <xref ref-type="bibr" rid="B61">1998</xref>).</p>
</sec>
<sec id="s3">
<title>Sociomoral Temperament and Social Outcomes</title>
<p>Our hypothesis that sociomoral temperament would be linked to social outcomes is based in Triune Ethics Meta-theory (TEM; Narvaez, <xref ref-type="bibr" rid="B41">2008</xref>, <xref ref-type="bibr" rid="B44">2014</xref>, <xref ref-type="bibr" rid="B45">2016</xref>). TEM joins the trend toward studying the effects of implicit embodied functioning (rather than cognitive structures only) on psychosocial functioning (Varela et al., <xref ref-type="bibr" rid="B74">1991</xref>), particularly in moral psychology (Narvaez and Lapsley, <xref ref-type="bibr" rid="B47">2005</xref>; Narvaez, <xref ref-type="bibr" rid="B42">2010</xref>). It integrates the interaction of developmentally-relevant experience, neurobiological development, and personality formation to clinical and sub-clinical moral outcomes with the idea that these may help explain the gap between moral judgment and moral action (Lapsley and Narvaez, <xref ref-type="bibr" rid="B34">2004b</xref>). For example, despite having learned and internalized social rules, a person might feel justified to act from fear or rage in the heat of the moment if a social stimulus triggers an intense stress response for protection (e.g., Gilligan, <xref ref-type="bibr" rid="B13">1997</xref>; van der Kolk, <xref ref-type="bibr" rid="B72">2014</xref>).</p>
<p>TEM also holds that neurobiological dispositions are influenced by early wellbeing. For example, the functioning of the hypothalamic&#x02013;pituitary&#x02013;adrenal (HPA) system is affected by wellbeing (Lupien et al., <xref ref-type="bibr" rid="B37">2009</xref>), such that with highly stressful experiences, an individual might develop a disposition toward a hyper- or hypo-reactive stress response, possibly undermining capacities for the social attunement required for socioemotional intelligence (Goleman, <xref ref-type="bibr" rid="B15">1995a</xref>,<xref ref-type="bibr" rid="B16">b</xref>). Further, early wellbeing is associated with vagus nerve function (vagal tone), which appears fundamental to capacities related to compassionate moral behavior such as social approach and social closeness (Porges, <xref ref-type="bibr" rid="B54">2011</xref>). Experiences that promote physiological and psychological wellbeing may thus influence sociomoral temperament, promoting social <italic>approach</italic> rather than <italic>withdrawal</italic>.</p>
<p>The TEM framework for understanding sociomoral functioning focuses on three basic orientations rooted in global brain states (MacLean, <xref ref-type="bibr" rid="B38">1990</xref>): protectionism, engagement, and imagination. When a particular global brain state or mindset guides behavior, it becomes an ethic. A protectionist orientation emerges from the activation of survival systems (e.g., stress response: fight-flight-freeze-faint; Sapolsky, <xref ref-type="bibr" rid="B63">2004</xref>) and focuses on self-preservation through dominance or withdrawal. The stress response directs perception, thought, and action in self-protective ways. For example, individuals whose neurobiological systems have a low threshold for activation of the stress response are likely to default to protectionist orientations (e.g., perceiving intentional harm when accidentally bumped, Crick and Dodge, <xref ref-type="bibr" rid="B6">1994</xref>). In contrast, an engagement orientation draws on capacities for emotional presence, relational attunement, and unconditional positive regard (Rogers, <xref ref-type="bibr" rid="B59">1961</xref>), which rely on developmental neurobiological capacities like vagal regulation (Porges, <xref ref-type="bibr" rid="B54">2011</xref>) and social oxytocin release (Feldman, <xref ref-type="bibr" rid="B8">2007</xref>). Well-functioning self-regulation, in combination with these neurobiological capacities, enables an engagement orientation. The ethic of imagination is undergirded by abilities to abstract and imagine possibilities outside the present moment. It adds creativity, intentionality, and abstraction into social relations and can be fueled by engagement or protectionist mechanisms.</p>
<p>In adults, triune ethics orientations have been examined with self-report measures that address how much a respondent thinks a list of characteristics represents an orientation they have and how much they think their friends and family would consider the list part of the respondent&#x00027;s characteristics (Narvaez, <xref ref-type="bibr" rid="B44">2014</xref>; Narvaez and Hardy, <xref ref-type="bibr" rid="B46">2016</xref>). Each list of characteristics relates to a particular type of mindset: protectionism (social opposition or withdrawal), engagement, or imagination [one that is generally reflective, detached (withdrawn), vicious (oppositional), or communal]. Although a person can shift among mindsets based on the situation, an adult sociomoral temperament defaulting to self-protectionism generally has been related to a personality pattern of distrust, aggression, and social dominance, as well as less prosocial behavior. In contrast, an engagement temperament has been related to greater agreeableness, conscientiousness, and prosocial behavior variably measured (Narvaez, <xref ref-type="bibr" rid="B44">2014</xref>; Narvaez and Hardy, <xref ref-type="bibr" rid="B46">2016</xref>; Narvaez et al., <xref ref-type="bibr" rid="B48">2016a</xref>).</p>
<p>We tested whether individual differences in sociomoral temperaments would lead to variations in social behavior outcomes in the preschool years. Specifically, we examined variations in aspects of moral socialization, such as empathy and conscience, and in socially-relevant self-regulation, such as inhibitory control and misbehavior. Each of these outcomes is dependent upon a child&#x00027;s ability to regulate internal states sufficiently so as to attend to the requirements of a social situation and the needs of others. A child who has developed a sociomoral temperament of self-protectionism has likely encountered consistent social stress (i.e., associated with compromised wellbeing), which has resulted in behavior that prioritizes safety of the self over the wellbeing of others. Poor wellbeing, associated with repeated stress, could create a default focus on self-preservation (Shanker, <xref ref-type="bibr" rid="B66">2016</xref>) that undermines social self-regulation. As a consequence, regulation in social settings might be compromised, resulting in impulsivity or externalizing behaviors toward others. In contrast, a child whose wellbeing is high will likely have developed the foundations for engagement, allowing for attention to the needs and concerns of others and successful regulation of behavior. Our hypothesis was that early positive wellbeing would be linked to a sociomoral temperament of approach and openness to social experience rather than avoidance or withdrawal. We also expected that sociomoral temperament would connect to social outcomes with implications for moral behavior, such as moral socialization and social self-regulation. Lastly, we expected the relation between wellbeing and outcomes would be mediated by sociomoral temperament.</p>
</sec>
<sec id="s4">
<title>Current Studies</title>
<p>Our first goal was to develop a measure of sociomoral temperament, which we named the measure of Child SocioMoral Orientation (CSMO), and to confirm its factor structure. Our second goal was to examine each component of our hypothesized model of the relations between wellbeing, sociomoral temperament, and children&#x00027;s social outcomes (see <xref ref-type="fig" rid="F1">Figure 1</xref>). Given that our overarching hypothesis was that children&#x00027;s wellbeing predicts individual differences in moral socialization and social self-regulation mediated by sociomoral temperament, we tested the relations between (a) our measures of wellbeing (happiness, thriving, anxiety, depression) and the CSMO scores (<xref ref-type="fig" rid="F1">Figure 1</xref>, path A); (b) the CSMO scores and social outcomes (<xref ref-type="fig" rid="F1">Figure 1</xref>, path B), including measures of moral socialization (empathy, concern after wrong doing, internalized conduct) and social self-regulation (inhibitory control, misbehavior); and (c) the extent to which CSMO mediated between wellbeing and social outcomes.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Overall model predicting sociomoral temperament and social outcomes from wellbeing.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-12-742199-g0001.tif"/>
</fig>
<p>We expected strong positive relationships between wellbeing measures (e.g., thriving) and engagement scores on CSMO, and similarly positive relationships between illbeing (e.g., anxiety), and self-protectionism scores; likewise, we expected illbeing to be negatively correlated with engagement scores, and wellbeing to be negatively correlated with self-protectionism. We also hypothesized that CSMO engagement scores would positively predict social outcomes (socialization and self-regulation), and that self-protectionism would negatively predict these same outcomes. Lastly, we hypothesized that CSMO scores would mediate the relations between wellbeing and child moral outcomes.</p>
<p>We collected large samples in two countries. We selected the USA and China for their historically distinctive cultures, one more individualistic and one more collectivistic (Triandis et al., <xref ref-type="bibr" rid="B70">1990</xref>). We also assessed measurement invariance across the two cultures. Although USA and Chinese cultures differ in several ways, we anticipated that similar outcomes would be found for each sample, including that CSMO would have similar factor structures across cultures because of its focus on fundamental social approach-avoidance, which characterizes human interactions generally. In all our analyses, we controlled for gender and tested for gender differences since they have emerged in past research using some of the measures (e.g., Kochanska, <xref ref-type="bibr" rid="B26">1994</xref>; Clark et al., <xref ref-type="bibr" rid="B4">2016</xref>).</p>
</sec>
<sec id="s5">
<title>Study 1</title>
<p>The purposes of this study were to confirm the factor structure of the CSMO measure and assess whether it would mediate the relation between wellbeing and moral outcomes in young children.</p>
<sec>
<title>Method</title>
<sec>
<title>Participants</title>
<p>We collected data from US mothers (<italic>n</italic> = 525; <italic>Mage</italic> = 32.97, SD = 5.06 years, range: 20&#x02013;49; median household income $50,000&#x02013;$75,000; 84.4% married or in civil union) who reported on their 2- to 4-year-old children (<italic>Mage</italic> = 3.35, SD = 0.46, range 2&#x02013;5; 295 sons, 229 daughters, 1 &#x0201C;Other&#x0201D;).</p>
</sec>
<sec>
<title>Procedure</title>
<p>Participants were recruited through fliers at preschools and through electronic notices delivered by parenting-focused organizations, listservs, and blogs. Consent was gathered prior to the start of the survey. Data were collected <italic>via</italic> Qualtrics Survey Software, taking &#x0007E;45 mins to complete; participants were compensated with a gift card. Study design and data collection procedures were approved by the university&#x00027;s institutional review board.</p>
</sec>
<sec>
<title>Measures</title>
<p>All measures were parent report. In addition to measuring children&#x00027;s sociomoral temperament through CSMO, we included measures of children&#x00027;s wellbeing as predictors of CSMO, the mediator, and measures of self-regulation and moral socialization as child outcomes.</p>
<sec>
<title>Predictors</title>
<p><italic>Child Wellbeing</italic>. Child wellbeing was measured <italic>via</italic> four constructs. Five items measured the frequency with which the child demonstrated <italic>happiness</italic> (Gleason et al., <xref ref-type="bibr" rid="B14">2016</xref>; e.g., &#x0201C;Dances spontaneously;&#x0201D; &#x003B1; = 0.72) on a 6-point Likert scale (1 = never to 6 = more than once a day). <italic>Thriving</italic> was assessed using an adapted version (Gleason et al., <xref ref-type="bibr" rid="B14">2016</xref>) of the Warwick-Edinburgh Wellbeing Scale (<italic>n</italic> = 14; e.g., &#x0201C;My child deals well with problems;&#x0201D; &#x003B1; = 0.91) using a 6-point Likert scale (1 = never to 6 = always). We used a 17-item <italic>depression</italic> measure (Gleason et al., <xref ref-type="bibr" rid="B14">2016</xref>; &#x003B1; = 0.92) assessing frequency of depression-related behaviors (e.g., &#x0201C;How often does your child lack confidence?&#x0201D;) using a 6-point Likert scale (1 = never to 6 = several times a day). <italic>Anxiety</italic> was measured using the Preschool Anxiety Scale (Spence et al., <xref ref-type="bibr" rid="B68">2001</xref>; <italic>n</italic> = 29; e.g., &#x0201C;Is afraid of meeting or talking to unfamiliar people,&#x0201D; &#x003B1; = 0.94) rated on a 5-point Likert scale (0 = not true at all to 4 = very often true or not applicable).</p>
</sec>
<sec>
<title>Mediator</title>
<p>In order to measure sociomoral orientation in children, we ran a pilot study using items from the adult measure of triune ethics orientation (Narvaez and Hardy, <xref ref-type="bibr" rid="B46">2016</xref>; Narvaez et al., <xref ref-type="bibr" rid="B48">2016a</xref>), which measures various forms of self-protectionism (e.g., social withdrawal, social opposition), social engagement, and types of imagination (e.g., reflective, vicious, detached, communal), and adapted them for maternal report of the child in social situations. We added terms to capture children&#x00027;s visible behavior (e.g., freezes, excited). Items (<italic>n</italic> = 71) were randomly presented. Whether the items within the orientations of self-protectionism, engagement, and imagination would fall into factors similar to those in the adult measure was unclear (Narvaez, <xref ref-type="bibr" rid="B43">2013</xref>), so we conducted exploratory factor analyses (EFA) within each of the three orientations (Kline, <xref ref-type="bibr" rid="B25">2013</xref>). Participants included US mothers of preschool children (<italic>N</italic> = 166; 58.9% boys) recruited in the United States through parenting blogs, flyers, a parenting organization, and parenting listservs in the Midwest and Northeast to fill out an online survey in exchange for a gift card. Participants ranged in age from 18 to 48 years (M = 33.56, SD = 5.54). Most mothers (92.0%) were married and 96.9% had at least some college education. Yearly household income varied substantially. And the sample was 82.2% Caucasian Euro-American, with family size ranging from 2-9 people (<italic>M</italic> = 4.43, SD = 1.13), including an average of 2.12 adults (SD = 0.55) and 2.31 children (SD = 0.93).</p>
<p>The extraction method was principal component analysis (PCA) using oblimin rotation because this method is recommended (Kim and Mueller, <xref ref-type="bibr" rid="B24">1978</xref>; Brown, <xref ref-type="bibr" rid="B3">2009</xref>) when factors are expected to correlate. Retention of factors was based on eigenvalues larger than 1 (Kaiser, <xref ref-type="bibr" rid="B22">1960</xref>), inspecting the scree plot (i.e., identifying an elbow), and the variance explained by retained factors.</p>
<p>Eighteen items did not fit into any factor; the remaining 53 items fell into seven factors. Two factors emerged with respect to Social Engagement: (a) Social enjoyment (<italic>n</italic> = 9; &#x003B1; = 0.93) and (b) Social attunement (<italic>n</italic> = 8; &#x003B1; = 0.88). Two factors were associated with Imagination: (c) Social consideration (<italic>n</italic> = 6; &#x003B1; = 0.84) and (d) Social imagination (<italic>n</italic> = 6; &#x003B1; = 0.84). Three factors emerged from the items associated with Self-Protectionism: (e) Social opposition (<italic>n</italic> = 10; &#x003B1; = 0.92), (f) Social distrust (<italic>n</italic> = 4; &#x003B1; = 0.61), and (g) Social withdrawal (<italic>n</italic> = 10; &#x003B1; = 0.91). The seven subscales were then used in the current studies (see <xref ref-type="supplementary-material" rid="SM1">Supplemental Materials</xref> for factor loadings and notes; the final set of items is listed by factor in the Appendix). We called the final version of the measure Child SocioMoral Orientation (CSMO).</p>
</sec>
<sec>
<title>Outcomes</title>
<p><italic>Child Moral Socialization</italic>. Three different aspects of child morality were assessed <italic>via</italic> maternal report using subscales of the My Child survey (Kochanska et al., <xref ref-type="bibr" rid="B29">1994</xref>) which have been demonstrated to correlate with child behavior (Kochanska, <xref ref-type="bibr" rid="B27">1995</xref>): <italic>Empathy</italic> (<italic>n</italic> =13, &#x003B1; = 0.86, &#x0201C;Will try to comfort or reassure another in distress&#x0201D;), <italic>concern after wrongdoing</italic> (<italic>n</italic> = 8, &#x003B1; = 0.88, &#x0201C;When she or he does something wrong, seems to feel relieved when forgiven&#x0201D;) and <italic>internalized conduct</italic> (<italic>n</italic> = 9, &#x003B1; = 0.86, &#x0201C;Clearly hesitates before doing something forbidden, even when alone&#x0201D;). For all scales, mothers rated their children&#x00027;s behavior using a 7-point Likert scale (1 = extremely untrue of your child to 7 = extremely true of your child).</p>
<p><italic>Child Self-Regulation</italic>. We measured self-regulation using the <italic>inhibitory control</italic> subscale from the Child Behavior Questionnaire (CBQ, Putnam and Rothbart, <xref ref-type="bibr" rid="B55">2006</xref>; <italic>n</italic> = 6; e.g., &#x0201C;Can lower his/her voice when asked to do so&#x0201D;; &#x003B1; = 0.83) rated on a 7-point Likert scale (1 = extremely untrue of your child to 7 = extremely true of your child). We measured frequency of <italic>misbehavior</italic> (Gleason et al., <xref ref-type="bibr" rid="B14">2016</xref>; <italic>n</italic> = 6; e.g., &#x0201C;How often does your child misbehave?&#x0201D; &#x003B1; = 0.75) using a 4-point Likert scale (1 = once a week or less, 2 = several times a week, 3 = every day, 4 = several times a day), except for one question that assessed recent misbehavior (i.e., &#x0201C;How often did your child misbehave in the last week?&#x0201D;) rated on a 5-pt. scale (1 = &#x0201C;not at all,&#x0201D; 5 = &#x0201C;over a dozen times&#x0201D;).</p>
</sec>
</sec>
<sec>
<title>Analytic Plan</title>
<p>To investigate factor structure, we used parallel analysis (Horn, <xref ref-type="bibr" rid="B20">1965</xref>) on CSMO subscale scores. After assessing reliability, we ran correlation analyses between CSMO subscale and composite scores with established measures of wellbeing, self-regulation, and moral socialization. Because there were gender differences in prior research with self-regulation and moral socialization measures (i.e., girls scoring higher on inhibitory control, guilt, moral conduct; Kochanska et al., <xref ref-type="bibr" rid="B31">1997</xref>, <xref ref-type="bibr" rid="B30">2005</xref>), we investigated gender differences as well.</p>
<p>EFA analyses were conducted using R Statistical Language (R Core Team, <xref ref-type="bibr" rid="B56">2016</xref>) and add-on packages, such as lavaan (Rosseel, <xref ref-type="bibr" rid="B60">2012</xref>), psych (Revelle, <xref ref-type="bibr" rid="B58">2016</xref>), car (Fox and Weisberg, <xref ref-type="bibr" rid="B10">2011</xref>), Hmisc (Harrell, <xref ref-type="bibr" rid="B18">2016</xref>), and QuantPsyc (Fletcher, <xref ref-type="bibr" rid="B9">2012</xref>). Mediation models were conducted using Mplus (Muth&#x000E9;n and Muth&#x000E9;n, <xref ref-type="bibr" rid="B40">2019</xref>).</p>
<p>For the EFAs, goodness of fit was assessed using root mean square error of approximation (RMSEA) values below 0.08 and comparative fit index (CFI) values greater than or equal to 0.95 (Hu and Bentler, <xref ref-type="bibr" rid="B21">1999</xref>; Hooper et al., <xref ref-type="bibr" rid="B19">2008</xref>). Chi-square is largely influenced by sample size and considering the number of participants in our studies, CFI and RMSEA were the indices used to evaluate model fit (Shi et al., <xref ref-type="bibr" rid="B67">2019</xref>). However, chi-square was still assessed for all models. In addition, all mediation models are saturated and they have perfect model fit with chi-squares = 0, RMSEA = 0, and CFI =1.</p>
<p>The proportion of missing data differed by variable. In all models, we handled missing data with full-information-maximum-likelihood (FIML), which is suitable for handling data missing completely at random and missing at random (Enders and Bandalos, <xref ref-type="bibr" rid="B7">2001</xref>).</p>
</sec>
</sec>
<sec>
<title>Results</title>
<sec>
<title>Factor Structure</title>
<p>Parallel analysis identified two factors. The first factor, labeled Self-Protectionism (SP), was measured by Social Opposition, Distrust, and Withdrawal. The second factor, termed Imaginative Relational Attunement (IRA), was measured by Social Enjoyment, Attunement, Imagination, and Consideration. This factor was named IRA because it was a combination of both Engagement and Imagination orientations. Utilizing PROMAX rotation, the two-factor model had good fit and a clean factor structure [robust <inline-formula><mml:math id="M1"><mml:msubsup><mml:mrow><mml:mi>&#x003C7;</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mn>9</mml:mn></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 32.22, <italic>p</italic> &#x0003C; 0.001, CFI = 0.986, RMSEA = 0.07] and all standardized factor loadings were higher than 0.40 (see <xref ref-type="table" rid="T1">Table 1</xref>). Further, the two factors were slightly negatively correlated (<italic>r</italic> = &#x02212;0.12, <italic>p</italic> = 0.04) and corresponded with our notions of sociomoral temperaments connected to social withdrawal and approach. Given that two factors accounted for CSMO items, SP and IRA, the composite scores of these subscales were used in proceeding analyses.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Study 1 (USA) and Study 2 (China) EFA factor loadings for the child sociomoral orientation measure (CSMO).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>USA</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>China</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Factor 1</bold></th>
<th valign="top" align="center"><bold>Factor 2</bold></th>
<th valign="top" align="center"><bold>Factor 1</bold></th>
<th valign="top" align="center"><bold>Factor 2</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Opposition</td>
<td valign="top" align="center"><bold>0.46</bold></td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center"><bold>0.57</bold></td>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td valign="top" align="left">Distrust</td>
<td valign="top" align="center"><bold>0.77</bold></td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center"><bold>0.82</bold></td>
<td valign="top" align="center">&#x02212;0.01</td>
</tr>
<tr>
<td valign="top" align="left">Withdrawal</td>
<td valign="top" align="center"><bold>0.77</bold></td>
<td valign="top" align="center">&#x02212;0.02</td>
<td valign="top" align="center"><bold>0.62</bold></td>
<td valign="top" align="center">&#x02212;0.03</td>
</tr>
<tr>
<td valign="top" align="left">Attunement</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center"><bold>0.93</bold></td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center"><bold>0.84</bold></td>
</tr>
<tr>
<td valign="top" align="left">Consideration</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center"><bold>0.87</bold></td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center"><bold>0.84</bold></td>
</tr>
<tr>
<td valign="top" align="left">Imagination</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center"><bold>0.77</bold></td>
<td valign="top" align="center">&#x02212;0.01</td>
<td valign="top" align="center"><bold>0.81</bold></td>
</tr>
<tr>
<td valign="top" align="left">Enjoyment</td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center"><bold>0.79</bold></td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center"><bold>0.79</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Bold values show significant loadings, p &#x0003C; 0.05</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Descriptives and Correlations</title>
<p><xref ref-type="table" rid="T2">Table 2</xref> presents descriptive statistics. In this study, the proportion of missing data ranged from 2.7 to 9.6%, and sample size ranges are listed in under USA for boys, girls, and the total sample. After correcting for multiple tests, three gender differences emerged: girls had significantly higher means than boys on happiness <italic>t</italic><sub>(457.18)</sub> = &#x02212;4.42, <italic>p</italic> &#x0003C; 0.001, empathy, <italic>t</italic><sub>(503.39)</sub> = &#x02212;3.74, <italic>p</italic> &#x0003C; 0.001, and inhibitory control, <italic>t</italic><sub>(482.62)</sub> = &#x02212;5.14, <italic>p</italic> &#x0003C; 0.001. Because of these differences, we used gender as a control variable in our models.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Descriptive statistics for Study 1 (USA) and Study 2 (China) by country and gender with between-group t-tests.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th valign="top" align="center" colspan="4" style="border-bottom: thin solid #000000;"><bold>USA</bold></th>
<th valign="top" align="center" colspan="4" style="border-bottom: thin solid #000000;"><bold>China</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Between-country comparisons</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Boys</bold><break/><bold>(<italic>n</italic> &#x0003D; 253-295)</bold></th>
<th valign="top" align="center"><bold>Girls</bold><break/><bold>(<italic>n</italic> &#x0003D; 213-229)</bold></th>
<th valign="top" align="center"><bold>Total</bold><break/><bold>(<italic>n</italic> &#x0003D; 475-511)</bold></th>
<th valign="top" align="center"><bold>Between-gender <italic>difference</italic> for USA</bold></th>
<th valign="top" align="center"><bold>Boys</bold><break/><bold>(<italic>n</italic> &#x0003D; 179-188)</bold></th>
<th valign="top" align="center"><bold>Girls</bold><break/><bold>(<italic>n</italic> &#x0003D; 185-191)</bold></th>
<th valign="top" align="center"><bold>Total</bold><break/><bold>(<italic>n</italic> &#x0003D; 365-380)</bold></th>
<th valign="top" align="center"><bold>Between-gender <italic>difference</italic> for China</bold></th>
<th valign="top" align="center"><bold>Boys</bold></th>
<th valign="top" align="center"><bold>Girls</bold></th>
<th valign="top" align="center"><bold>Total</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold><italic>M</italic> (SD)</bold></th>
<th valign="top" align="center"><bold><italic>M</italic> (SD)</bold></th>
<th valign="top" align="center"><bold><italic>M</italic> (SD)</bold></th>
<th valign="top" align="center"><bold><italic>t</italic> (Cohen&#x00027;s d)</bold></th>
<th valign="top" align="center"><bold><italic>M</italic> (SD)</bold></th>
<th valign="top" align="center"><bold><italic>M</italic> (SD)</bold></th>
<th valign="top" align="center"><bold><italic>M</italic> (SD)</bold></th>
<th valign="top" align="center"><bold><italic>t</italic> (Cohen&#x00027;s <italic>d</italic>)</bold></th>
<th valign="top" align="center"><bold><italic>t</italic> (Cohen&#x00027;s <italic>d</italic>)</bold></th>
<th valign="top" align="center"><bold><italic>t</italic> (Cohen&#x00027;s <italic>d</italic>)</bold></th>
<th valign="top" align="center"><bold><italic>t</italic> (Cohen&#x00027;s <italic>d</italic>)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="12"><bold>Wellbeing</bold></td>
</tr>
<tr>
<td valign="top" align="left">Happiness</td>
<td valign="top" align="center">5.24 (0.69)</td>
<td valign="top" align="center">5.49(0.52)</td>
<td valign="top" align="center">5.35 (0.63)</td>
<td valign="top" align="center">&#x02212;4.42<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (&#x02212;0.40)</td>
<td valign="top" align="center">4.39 (0.95)</td>
<td valign="top" align="center">4.54(0.96)</td>
<td valign="top" align="center">4.47 (0.96)</td>
<td valign="top" align="center">&#x02212;1.52 (&#x02212;0.16)</td>
<td valign="top" align="center">10.38<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.06)</td>
<td valign="top" align="center">12.01<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.26)</td>
<td valign="top" align="center">15.42<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.12)</td>
</tr>
<tr>
<td valign="top" align="left">Thriving</td>
<td valign="top" align="center">5.37 (0.55)</td>
<td valign="top" align="center">5.50(0.45)</td>
<td valign="top" align="center">5.43 (0.51)</td>
<td valign="top" align="center">&#x02212;2.82 (&#x02212;0.25)</td>
<td valign="top" align="center">4.73 (0.74)</td>
<td valign="top" align="center">4.73(0.78)</td>
<td valign="top" align="center">4.73 (0.76)</td>
<td valign="top" align="center">&#x02212;0.03 (0.00)</td>
<td valign="top" align="center">10.01<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.01)</td>
<td valign="top" align="center">11.85<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.23)</td>
<td valign="top" align="center">15.30<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.11)</td>
</tr>
<tr>
<td valign="top" align="left">Depression</td>
<td valign="top" align="center">2.08 (0.70)</td>
<td valign="top" align="center">1.90(0.64)</td>
<td valign="top" align="center">1.99 (0.68)</td>
<td valign="top" align="center">2.90 (0.26)</td>
<td valign="top" align="center">1.77 (0.66)</td>
<td valign="top" align="center">1.63(0.64)</td>
<td valign="top" align="center">1.70 (0.65)</td>
<td valign="top" align="center">2.03 (0.22)</td>
<td valign="top" align="center">4.69<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.45)</td>
<td valign="top" align="center">4.02<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.42)</td>
<td valign="top" align="center">6.38<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.43)</td>
</tr>
<tr>
<td valign="top" align="left">Anxiety</td>
<td valign="top" align="center">1.49 (0.53)</td>
<td valign="top" align="center">1.42(0.48)</td>
<td valign="top" align="center">1.46 (0.51)</td>
<td valign="top" align="center">1.48 (0.14)</td>
<td valign="top" align="center">2.38 (0.88)</td>
<td valign="top" align="center">2.27(0.94)</td>
<td valign="top" align="center">2.32 (0.91)</td>
<td valign="top" align="center">1.19 (0.12)</td>
<td valign="top" align="center">&#x02212;12.00<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (&#x02212;1.29)</td>
<td valign="top" align="center">&#x02212;10.84<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (&#x02212;1.17)</td>
<td valign="top" align="center">&#x02212;16.01<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (&#x02212;1.21)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="12"><bold>Sociomoral temperament</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="12">CSMO subscales</td>
</tr>
<tr>
<td valign="top" align="left">Opposition</td>
<td valign="top" align="center">2.72 (0.99)</td>
<td valign="top" align="center">2.51 (0.94)</td>
<td valign="top" align="center">2.63 (0.98)</td>
<td valign="top" align="center">2.37 (0.21)</td>
<td valign="top" align="center">2.07 (0.83)</td>
<td valign="top" align="center">1.89 (0.69)</td>
<td valign="top" align="center">1.98 (0.77)</td>
<td valign="top" align="center">2.32 (0.23)</td>
<td valign="top" align="center">7.56<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.70)</td>
<td valign="top" align="center">7.61<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.74)</td>
<td valign="top" align="center">10.90<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.73)</td>
</tr>
<tr>
<td valign="top" align="left">Distrust</td>
<td valign="top" align="center">2.12 (0.92)</td>
<td valign="top" align="center">2.02 (0.87)</td>
<td valign="top" align="center">2.07 (0.90)</td>
<td valign="top" align="center">1.17 (0.11)</td>
<td valign="top" align="center">1.73 (0.88)</td>
<td valign="top" align="center">1.59 (0.77)</td>
<td valign="top" align="center">1.66 (0.83)</td>
<td valign="top" align="center">1.52 (0.17)</td>
<td valign="top" align="center">4.56<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.43)</td>
<td valign="top" align="center">5.21<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.52)</td>
<td valign="top" align="center">6.96<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.47)</td>
</tr>
<tr>
<td valign="top" align="left">Withdrawal</td>
<td valign="top" align="center">2.44 (0.80)</td>
<td valign="top" align="center">2.42 (0.80)</td>
<td valign="top" align="center">2.43 (0.80)</td>
<td valign="top" align="center">0.26 (0.025)</td>
<td valign="top" align="center">2.16 (0.75)</td>
<td valign="top" align="center">2.15 (0.72)</td>
<td valign="top" align="center">2.15 (0.73)</td>
<td valign="top" align="center">0.09 (0.01)</td>
<td valign="top" align="center">3.83<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.36)</td>
<td valign="top" align="center">3.57<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.35)</td>
<td valign="top" align="center">5.26<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.36)</td>
</tr>
<tr>
<td valign="top" align="left">Attunement</td>
<td valign="top" align="center">5.09 (0.72)</td>
<td valign="top" align="center">5.25 (0.71)</td>
<td valign="top" align="center">5.16 (0.72)</td>
<td valign="top" align="center">&#x02212;2.52 (0.22)</td>
<td valign="top" align="center">3.90 (1.06)</td>
<td valign="top" align="center">3.86 (1.21)</td>
<td valign="top" align="center">3.88 (1.14)</td>
<td valign="top" align="center">0.41 (0.04)</td>
<td valign="top" align="center">13.23<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.36)</td>
<td valign="top" align="center">13.85<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.43)</td>
<td valign="top" align="center">19.07<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.38)</td>
</tr>
<tr>
<td valign="top" align="left">Consideration</td>
<td valign="top" align="center">4.92 (0.80)</td>
<td valign="top" align="center">5.06 (0.73)</td>
<td valign="top" align="center">5.00 (0.77)</td>
<td valign="top" align="center">&#x02212;1.73 (&#x02212;0.18)</td>
<td valign="top" align="center">3.71 (1.18)</td>
<td valign="top" align="center">3.55 (1.07)</td>
<td valign="top" align="center">3.64 (1.13)</td>
<td valign="top" align="center">1.37 (0.14)</td>
<td valign="top" align="center">12.22<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.25)</td>
<td valign="top" align="center">16.06<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.67)</td>
<td valign="top" align="center">19.75<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.44)</td>
</tr>
<tr>
<td valign="top" align="left">Imagination</td>
<td valign="top" align="center">4.87 (0.83)</td>
<td valign="top" align="center">5.09 (0.83)</td>
<td valign="top" align="center">4.97 (0.84)</td>
<td valign="top" align="center">&#x02212;2.89 (&#x02212;0.26)</td>
<td valign="top" align="center">3.90 (1.18)</td>
<td valign="top" align="center">3.79 (1.17)</td>
<td valign="top" align="center">3.87 (1.17)</td>
<td valign="top" align="center">1.11 (0.09)</td>
<td valign="top" align="center">9.32<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.98)</td>
<td valign="top" align="center">12.57<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.30)</td>
<td valign="top" align="center">15.37<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.10)</td>
</tr>
<tr>
<td valign="top" align="left">Enjoyment</td>
<td valign="top" align="center">5.58 (0.60)</td>
<td valign="top" align="center">5.65 (0.73)</td>
<td valign="top" align="center">5.61 (0.58)</td>
<td valign="top" align="center">&#x02212;1.35 (&#x02212;0.12)</td>
<td valign="top" align="center">4.72 (1.14)</td>
<td valign="top" align="center">4.62 (1.17)</td>
<td valign="top" align="center">4.67 (1.15)</td>
<td valign="top" align="center">0.78 (0.09)</td>
<td valign="top" align="center">9.45<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.00)</td>
<td valign="top" align="center">10.98<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.08)</td>
<td valign="top" align="center">14.43<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.08)</td>
</tr>
<tr>
<td valign="top" align="left">CSMO factor scores</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Self-protectionism</td>
<td valign="top" align="center">2.43 (0.73)</td>
<td valign="top" align="center">2.32 (0.41)</td>
<td valign="top" align="center">2.38 (0.71)</td>
<td valign="top" align="center">1.69 (0.15)</td>
<td valign="top" align="center">1.99 (0.65)</td>
<td valign="top" align="center">1.88 (0.59)</td>
<td valign="top" align="center">1.93 (0.62)</td>
<td valign="top" align="center">1.65 (0.18)</td>
<td valign="top" align="center">14.53<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.63)</td>
<td valign="top" align="center">15.81<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.88)</td>
<td valign="top" align="center">9.75<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.67)</td>
</tr>
<tr>
<td valign="top" align="left">IRA</td>
<td valign="top" align="center">5.12 (0.65)</td>
<td valign="top" align="center">5.26 (0.63)</td>
<td valign="top" align="center">5.18 (0.64)</td>
<td valign="top" align="center">&#x02212;2.47 (&#x02212;0.22)</td>
<td valign="top" align="center">4.07 (0.98)</td>
<td valign="top" align="center">3.96 (1.00)</td>
<td valign="top" align="center">4.02 (0.99)</td>
<td valign="top" align="center">0.87 (0.11)</td>
<td valign="top" align="center">7.09<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.31)</td>
<td valign="top" align="center">11.03<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.58)</td>
<td valign="top" align="center">12.55<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.43)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="12"><bold>Social outcomes</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="12">Moral socialization</td>
</tr>
<tr>
<td valign="top" align="left">Empathy</td>
<td valign="top" align="center">5.22 (0.61)</td>
<td valign="top" align="center">5.42 (0.58)</td>
<td valign="top" align="center">5.31 (0.60)</td>
<td valign="top" align="center">&#x02212;3.74<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (&#x02212;0.33)</td>
<td valign="top" align="center">5.00 (0.75)</td>
<td valign="top" align="center">5.09 (0.60)</td>
<td valign="top" align="center">5.05 (0.68)</td>
<td valign="top" align="center">&#x02212;1.35 (&#x02212;0.13)</td>
<td valign="top" align="center">3.43<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.33)</td>
<td valign="top" align="center">5.57<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.56)</td>
<td valign="top" align="center">6.02<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.41)</td>
</tr>
<tr>
<td valign="top" align="left">Concern after wrongdoing</td>
<td valign="top" align="center">5.06 (1.17)</td>
<td valign="top" align="center">5.28 (1.18)</td>
<td valign="top" align="center">5.16 (1.18)</td>
<td valign="top" align="center">&#x02212;1.99 (&#x02212;0.19)</td>
<td valign="top" align="center">5.20 (0.98)</td>
<td valign="top" align="center">5.22 (0.91)</td>
<td valign="top" align="center">5.21 (0.94)</td>
<td valign="top" align="center">&#x02212;0.22 (&#x02212;0.02)</td>
<td valign="top" align="center">&#x02212;1.37 (&#x02212;0.13)</td>
<td valign="top" align="center">0.50 (0.06)</td>
<td valign="top" align="center">&#x02212;0.67 (&#x02212;0.05)</td>
</tr>
<tr>
<td valign="top" align="left">Internalized conduct</td>
<td valign="top" align="center">4.24 (1.08)</td>
<td valign="top" align="center">4.42 (1.11)</td>
<td valign="top" align="center">4.32 (1.09)</td>
<td valign="top" align="center">&#x02212;1.87 (&#x02212;0.17)</td>
<td valign="top" align="center">4.10 (0.55)</td>
<td valign="top" align="center">4.15 (0.49)</td>
<td valign="top" align="center">4.13 (0.52)</td>
<td valign="top" align="center">&#x02212;1.03 (&#x02212;0.10)</td>
<td valign="top" align="center">1.85 (0.15)</td>
<td valign="top" align="center">3.25<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.31)</td>
<td valign="top" align="center">3.42<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.21)</td>
</tr>
<tr>
<td valign="top" align="left">Self-regulation</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Inhibitory control</td>
<td valign="top" align="center">4.79 (0.85)</td>
<td valign="top" align="center">5.18 (0.81)</td>
<td valign="top" align="center">4.97 (0.85)</td>
<td valign="top" align="center">&#x02212;5.14<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (&#x02212;0.46)</td>
<td valign="top" align="center">4.64 (0.80)</td>
<td valign="top" align="center">4.86 (0.78)</td>
<td valign="top" align="center">4.75 (0.79)</td>
<td valign="top" align="center">&#x02212;2.62 (&#x02212;0.28)</td>
<td valign="top" align="center">1.95 (0.18)</td>
<td valign="top" align="center">4.12<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.40)</td>
<td valign="top" align="center">3.96<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.27)</td>
</tr>
<tr>
<td valign="top" align="left">Misbehavior</td>
<td valign="top" align="center">2.75 (0.50)</td>
<td valign="top" align="center">2.63 (0.41)</td>
<td valign="top" align="center">2.69 (0.47)</td>
<td valign="top" align="center">3.00 (0.26)</td>
<td valign="top" align="center">2.28 (0.50)</td>
<td valign="top" align="center">2.20 (0.34)</td>
<td valign="top" align="center">2.24 (0.45)</td>
<td valign="top" align="center">1.67 (0.18)</td>
<td valign="top" align="center">9.32<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.94)</td>
<td valign="top" align="center">10.40<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (1.13)</td>
<td valign="top" align="center">13.80<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref> (0.98)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>CSMO, child sociomoral orientation; IRA, imaginative relational attunement</italic>.</p>
<p><italic>T-tests were performed with a Bonferroni correction (c = 18)</italic>.</p>
<fn id="TN1"><label>&#x0002A;</label><p><italic>p &#x0003C; 0.002778</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="T3">Table 3</xref> contains the correlation coefficients (above diagonal). As predicted, positive correlations emerged between wellbeing and IRA and between illbeing and SP. The reverse was also mostly supported, although SP did not correlate with happiness. The fact that SP did not correlate with happiness, whereas IRA did, suggests the importance of treating IRA and SP separately. Generally, these findings are consistent with the idea that psychological systems are associated with differentiated sociomoral orientations.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Within country pearson&#x00027;s correlations of all variables for Study 1 (USA) and Study 2 (China).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<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>
<th valign="top" align="center"><bold>11</bold></th>
<th valign="top" align="center"><bold>12</bold></th>
<th valign="top" align="center"><bold>13</bold></th>
<th valign="top" align="center"><bold>14</bold></th>
<th valign="top" align="center"><bold>15</bold></th>
<th valign="top" align="center"><bold>16</bold></th>
<th valign="top" align="center"><bold>17</bold></th>
<th valign="top" align="center"><bold>18</bold></th>
<th valign="top" align="center"><bold>19</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="20"><bold>Wellbeing</bold></td>
</tr>
<tr>
<td valign="top" align="left">1. Happiness</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">0.56<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.29<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.26<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.55<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.52<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.46<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.48<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.48<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.01</td>
<td valign="top" align="center">&#x02212;0.05</td>
<td valign="top" align="center">0.15<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.12<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.37<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.21<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.11<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.23<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.04</td>
<td valign="top" align="center">0.20<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">2. Thriving</td>
<td valign="top" align="center">0.46<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02212;0.46<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.40<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.58<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.54<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.51<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.50<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.52<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.18<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.19<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">&#x02212;0.29<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.50<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.22<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.13<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.31<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.19<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.13<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">3. Depression</td>
<td valign="top" align="center">&#x02212;0.10<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.25<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">0.40<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.26<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.24<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.23<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.20<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.25<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.54<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.52<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.21<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.47<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.28<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">&#x02212;0.21<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.30<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.43<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.14</td>
</tr>
<tr>
<td valign="top" align="left">4. Anxiety</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">&#x02212;0.14<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.50<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02212;0.27<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.24<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.20<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.23<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.31<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.37<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.17<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.20<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.48<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.17<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">&#x02212;0.03</td>
<td valign="top" align="center">&#x02212;0.12<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.17<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.07</td>
</tr>
<tr>
<td valign="top" align="left" colspan="20"><bold>CSMO</bold></td>
</tr>
<tr>
<td valign="top" align="left">5. IRA (comp.)</td>
<td valign="top" align="center">0.37<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.43<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.12<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">0.92<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.89<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.87<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.86<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">&#x02212;0.02</td>
<td valign="top" align="center">0.24<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.14<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.55<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.22<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.22<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.42<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.16<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.12<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">6. Attunement</td>
<td valign="top" align="center">0.36<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.38<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.10</td>
<td valign="top" align="center">&#x02212;0.08</td>
<td valign="top" align="center">0.56<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">0.82<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.69<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.74<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">&#x02212;0.05</td>
<td valign="top" align="center">0.23<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.10<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.60<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.26<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.25<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.41<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.18<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.12<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">7. Consideration</td>
<td valign="top" align="center">0.31<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.34<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.05</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.72<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.66<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">0.66<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.67<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.00</td>
<td valign="top" align="center">&#x02212;0.16<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.25<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center">0.53<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.27<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.36<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.52<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.27<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td valign="top" align="left">8. Imagination</td>
<td valign="top" align="center">0.32<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.44<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.08</td>
<td valign="top" align="center">&#x02212;0.06</td>
<td valign="top" align="center">0.55<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.64<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.69<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">0.69<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">0.23<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.14<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.41<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.11<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.27<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.06</td>
<td valign="top" align="center">0.14<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">9. Enjoyment</td>
<td valign="top" align="center">0.35<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.40<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.16<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.13<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.53<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.70<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.60<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.63<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.13<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.21<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.40<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">0.26<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.05</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">10. SP (comp.)</td>
<td valign="top" align="center">&#x02212;0.02</td>
<td valign="top" align="center">&#x02212;0.15<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.52<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.28<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.03</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">&#x02212;0.02</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">0.74<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.74<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.79<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.11<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">&#x02212;0.14<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.17<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.40<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.05</td>
</tr>
<tr>
<td valign="top" align="left">11. Opposition</td>
<td valign="top" align="center">&#x02212;0.06</td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center">0.45<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.18<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center">&#x02212;0.01</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.11<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.77<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">0.25<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.36<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.22<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.10<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.37<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.40<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.60<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.11<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">12. Distrust</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center">0.37<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.22<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">0.13<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">&#x02212;0.01</td>
<td valign="top" align="center">0.84<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.48<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">0.49<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.13<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.18<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.13<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left">13. Withdrawal</td>
<td valign="top" align="center">&#x02212;0.00</td>
<td valign="top" align="center">&#x02212;0.21<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.44<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.28<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.04</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">&#x02212;0.09</td>
<td valign="top" align="center">&#x02212;0.09</td>
<td valign="top" align="center">0.78<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.36<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.53<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02212;0.15<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">&#x02212;0.06</td>
<td valign="top" align="center">0.18<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.02</td>
</tr>
<tr>
<td valign="top" align="left" colspan="20"><bold>Child outcomes</bold></td>
</tr>
<tr>
<td valign="top" align="left">14. Empathy</td>
<td valign="top" align="center">0.29<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.30<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.16<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.72<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.26<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.22<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.18<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.27<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.06</td>
<td valign="top" align="center">&#x02212;0.08</td>
<td valign="top" align="center">&#x02212;0.01</td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">0.29<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.27<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.44<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.28<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.16<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">15. Concern</td>
<td valign="top" align="center">0.22<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.31<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.09</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">0.76<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.21<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.18<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.22<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.21<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.12<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.15<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.04</td>
<td valign="top" align="center">&#x02212;0.10</td>
<td valign="top" align="center">0.55<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">0.19<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.21<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center">0.10<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">16. Int. conduct</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.14<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.04</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.23<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">0.12<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">&#x02212;0.02</td>
<td valign="top" align="center">&#x02212;0.09</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">0.32<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.15<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">0.62<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.40<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td valign="top" align="left">17. Inh. control</td>
<td valign="top" align="center">0.15<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.28<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.17<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.00</td>
<td valign="top" align="center">0.54<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.31<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.33<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.22<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.25<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.14<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.28<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.01</td>
<td valign="top" align="center">&#x02212;0.06</td>
<td valign="top" align="center">0.43<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.45<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.31<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02212;0.41<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.23<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">18. Misbehavior</td>
<td valign="top" align="center">&#x02212;0.05</td>
<td valign="top" align="center">&#x02212;0.01</td>
<td valign="top" align="center">0.20<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">&#x02212;0.09</td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center">&#x02212;0.13<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.32<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.45<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.19<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">&#x02212;0.02</td>
<td valign="top" align="center">&#x02212;0.00</td>
<td valign="top" align="center">&#x02212;0.16<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.22<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02212;0.15<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">19. Gender</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">&#x02212;0.01</td>
<td valign="top" align="center">&#x02212;0.11<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.06</td>
<td valign="top" align="center">&#x02212;0.02</td>
<td valign="top" align="center">&#x02212;0.02</td>
<td valign="top" align="center">&#x02212;0.08</td>
<td valign="top" align="center">&#x02212;0.06</td>
<td valign="top" align="center">&#x02212;0.04</td>
<td valign="top" align="center">&#x02212;0.10</td>
<td valign="top" align="center">&#x02212;0.12<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.12<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.01</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.14<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>IRA (comp.), Imaginative Relational Attunement (composite), SP (comp.), self-protectionism (composite)</italic>.</p>
<p><italic>USA and China correlation coefficients are above and below the diagonal respectively</italic>.</p>
<fn id="TN2"><label>&#x0002A;</label><p><italic>p &#x0003C; 0.0</italic>;</p></fn>
<fn id="TN3"><label>&#x0002A;&#x0002A;</label><p><italic>p &#x0003C; 0.01</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Most correlations between CSMO subscales and the self-regulation and moral socialization measures were in the expected directions. The results for the self-protectionism subscales were mixed. Most correlations were negative, as hypothesized, except that distrust correlated positively with empathy, concern after wrongdoing, and inhibitory control. Correlations were not significant between social distrust and internalized conduct and misbehavior, nor did social withdrawal correlate with concern, internalized conduct, or inhibitory control.</p>
</sec>
<sec>
<title>Contributions of Sociomoral Temperament When Mediating the Relationship Between Wellbeing and Child Outcomes</title>
<p>We next tested the hypothesis that CSMO composite scores would mediate the relations between wellbeing and child social outcomes (<xref ref-type="fig" rid="F1">Figure 1</xref>, path C). We constructed four models, each of which used a wellbeing measure (happiness, thriving, depression, and anxiety) as a predictor, IRA and SP as mediators, and the moral socialization (empathy, concern after wrong doing, internalized conduct) and self-regulation (inhibitory control, misbehavior) measures as outcomes (see <xref ref-type="fig" rid="F2">Figure 2</xref> for the mediation model and <xref ref-type="table" rid="T4">Table 4</xref> for model results). All child outcomes were allowed to correlate, yielding four saturated, perfect fitting models, <inline-formula><mml:math id="M2"><mml:msubsup><mml:mrow><mml:mi>&#x003C7;</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mn>0</mml:mn></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 1.00, <italic>p</italic> = 0.00, CFI = 1.00, RMSEA = 0.00. Gender was included as a control variable.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Mediation model with moral temperament mediating relation between wellbeing and social outcomes.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-12-742199-g0002.tif"/>
</fig>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Study 1 (USA) summary of mediation effects.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Predictor outcome</bold></th>
<th valign="top" align="center"><bold>&#x000E2;: path to IRA (<italic>p</italic>)</bold></th>
<th valign="top" align="center"><bold>b: path from IRA (<italic>p</italic>)</bold></th>
<th valign="top" align="center"><bold>&#x000E2;: path to SP (<italic>p</italic>)</bold></th>
<th valign="top" align="center"><bold>b: path from SP (<italic>p</italic>)</bold></th>
<th valign="top" align="center"><bold>&#x000E2; <xref ref-type="table-fn" rid="TN4"><sup>&#x0002A;</sup></xref> b IRA [95% CI]</bold></th>
<th valign="top" align="center"><bold>&#x000E2; <xref ref-type="table-fn" rid="TN4"><sup>&#x0002A;</sup></xref> b SP [95% CI]</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Happiness</td>
<td valign="top" align="center">2.18 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">0.00 (1.00)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Empathy</td>
<td/>
<td valign="top" align="center">0.12 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.04 (0.001)</td>
<td valign="top" align="center">0.26 (0.20, 0.32)</td>
<td valign="top" align="center">0.00 (&#x02212;0.02, 0.01)</td>
</tr>
<tr>
<td valign="top" align="left">Concern</td>
<td/>
<td valign="top" align="center">0.60 (0.009)</td>
<td/>
<td valign="top" align="center">0.03 (0.234)</td>
<td valign="top" align="center">0.14 (0.03, 0.26)</td>
<td valign="top" align="center">0.00 (&#x02212;0.01, 0.02)</td>
</tr>
<tr>
<td valign="top" align="left">Int. conduct</td>
<td/>
<td valign="top" align="center">0.10 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.08 (0.001)</td>
<td valign="top" align="center">0.22 (0.12, 0.34)</td>
<td valign="top" align="center">0.00 (&#x02212;0.03, 0.02)</td>
</tr>
<tr>
<td valign="top" align="left">Inh. control</td>
<td/>
<td valign="top" align="center">0.14 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.08 (&#x0003C;0.001)</td>
<td valign="top" align="center">0.30 (0.22, 0.39)</td>
<td valign="top" align="center">0.00 (&#x02212;0.03, 0.02)</td>
</tr>
<tr>
<td valign="top" align="left">Misbehavior</td>
<td/>
<td valign="top" align="center">&#x02212;0.05 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">0.11 (&#x0003C;0.001)</td>
<td valign="top" align="center">&#x02212;0.16 (&#x02212;0.13, &#x02212;0.05)</td>
<td valign="top" align="center">0.00 (&#x02212;0.01, 0.05)</td>
</tr>
<tr>
<td valign="top" align="left">Thriving</td>
<td valign="top" align="center">2.85 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.69 (&#x0003C;0.001)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Empathy</td>
<td/>
<td valign="top" align="center">0.10 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.03 (0.025)</td>
<td valign="top" align="center">0.27 (0.20, 0.36)</td>
<td valign="top" align="center">0.02 (0.00, 0.04)</td>
</tr>
<tr>
<td valign="top" align="left">Concern</td>
<td/>
<td valign="top" align="center">0.05 (0.035)</td>
<td/>
<td valign="top" align="center">0.05 (0.087)</td>
<td valign="top" align="center">0.16 (0.00, 0.32)</td>
<td valign="top" align="center">&#x02212;0.03 (&#x02212;0.09, 0.01)</td>
</tr>
<tr>
<td valign="top" align="left">Int. conduct</td>
<td/>
<td valign="top" align="center">0.10 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.09 (0.001)</td>
<td valign="top" align="center">0.29 (0.17, 0.42)</td>
<td valign="top" align="center">0.06 (0.02, 0.11)</td>
</tr>
<tr>
<td valign="top" align="left">Inh. control</td>
<td/>
<td valign="top" align="center">0.12 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.07 (&#x0003C;0.001)</td>
<td valign="top" align="center">0.35 (0.26, 0.45)</td>
<td valign="top" align="center">0.05 (0.02, 0.09)</td>
</tr>
<tr>
<td valign="top" align="left">Misbehavior</td>
<td/>
<td valign="top" align="center">&#x02212;0.03 (0.002)</td>
<td/>
<td valign="top" align="center">0.11 (&#x0003C;0.001)</td>
<td valign="top" align="center">&#x02212;0.09 (&#x02212;0.15, &#x02212;0.04)</td>
<td valign="top" align="center">&#x02212;0.07 (&#x02212;0.12, &#x02212;0.03)</td>
</tr>
<tr>
<td valign="top" align="left">Depression</td>
<td valign="top" align="center">&#x02212;0.99 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">0.05 (0.740)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Empathy</td>
<td/>
<td valign="top" align="center">0.12 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.03 (0.063)</td>
<td valign="top" align="center">&#x02212;0.11 (&#x02212;0.16, &#x02212;0.06)</td>
<td valign="top" align="center">&#x02212;0.04 (&#x02212;0.09, 0.01)</td>
</tr>
<tr>
<td valign="top" align="left">Concern</td>
<td/>
<td valign="top" align="center">0.10 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">0.01 (0.744)</td>
<td valign="top" align="center">&#x02212;0.09 (&#x02212;0.15, &#x02212;0.04)</td>
<td valign="top" align="center">0.02 (&#x02212;0.10, 0.13)</td>
</tr>
<tr>
<td valign="top" align="left">Int. conduct</td>
<td/>
<td valign="top" align="center">0.08 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.05 (0.119)</td>
<td valign="top" align="center">&#x02212;0.07 (&#x02212;0.12, &#x02212;0.04)</td>
<td valign="top" align="center">&#x02212;0.07 (&#x02212;0.16, 0.01)</td>
</tr>
<tr>
<td valign="top" align="left">Inh. control</td>
<td/>
<td valign="top" align="center">0.12 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.05 (0.018)</td>
<td valign="top" align="center">&#x02212;0.11 (&#x02212;0.16, &#x02212;0.06)</td>
<td valign="top" align="center">&#x02212;0.08 (&#x02212;0.14, &#x02212;0.01)</td>
</tr>
<tr>
<td valign="top" align="left">Misbehavior</td>
<td/>
<td valign="top" align="center">&#x02212;0.02 (0.029)</td>
<td/>
<td valign="top" align="center">0.07 (&#x0003C;0.001)</td>
<td valign="top" align="center">0.02 (0.00, 0.04)</td>
<td valign="top" align="center">0.20 (0.12, 0.28)</td>
</tr>
<tr>
<td valign="top" align="left">Anxiety</td>
<td valign="top" align="center">&#x02212;1.22 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">1.39 (&#x0003C;0.001)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Empathy</td>
<td/>
<td valign="top" align="center">0.16 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.04 (0.005)</td>
<td valign="top" align="center">&#x02212;0.15 (&#x02212;0.24, &#x02212;0.08)</td>
<td valign="top" align="center">&#x02212;0.05 (&#x02212;0.09, &#x02212;0.01)</td>
</tr>
<tr>
<td valign="top" align="left">Concern</td>
<td/>
<td valign="top" align="center">0.10 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">0.03 (0.373)</td>
<td valign="top" align="center">&#x02212;0.12 (&#x02212;0.24, &#x02212;0.04)</td>
<td valign="top" align="center">0.04 (&#x02212;0.06, 0.13)</td>
</tr>
<tr>
<td valign="top" align="left">Int. conduct</td>
<td/>
<td valign="top" align="center">0.12 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.10 (&#x0003C;0.001)</td>
<td valign="top" align="center">&#x02212;0.12 (&#x02212;0.22, &#x02212;0.07)</td>
<td valign="top" align="center">&#x02212;0.14 (&#x02212;0.25, &#x02212;0.06)</td>
</tr>
<tr>
<td valign="top" align="left">Inh. control</td>
<td/>
<td valign="top" align="center">0.14 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.09 (&#x0003C;0.001)</td>
<td valign="top" align="center">&#x02212;0.12 (&#x02212;0.27, &#x02212;0.08)</td>
<td valign="top" align="center">&#x02212;0.12 (&#x02212;0.18, &#x02212;0.07)</td>
</tr>
<tr>
<td valign="top" align="left">Misbehavior</td>
<td/>
<td valign="top" align="center">&#x02212;0.03 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">0.11 (&#x0003C;0.001)</td>
<td valign="top" align="center">0.04 (0.02, 0.07)</td>
<td valign="top" align="center">0.15 (0.10, 0.22)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>IRA, imaginative relational attunement; SP, self-protectionism; CI, confidence interval</italic>.</p>
<p><italic>The confidence intervals were bootstrapped. The formula is: point estimate &#x000B1; z</italic></p>
<fn id="TN4"><label>&#x0002A;</label><p><italic>s/&#x0221A;n</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Mediation analyses tested both total (i.e., both mediators together) and specific (i.e., each CSMO mediator) indirect mediation effects of wellbeing on child outcomes. For specific indirect effects, IRA significantly mediated the relationships from all four wellbeing measures to all five outcomes at <italic>p</italic>s &#x02264; 0.002 with two caveats: the strengths of the specific indirect paths from thriving to concern and depression to misbehavior were lower but still significant (<italic>p</italic> &#x02264; 0.045). For SP, the results were more mixed. None of the specific indirect effects of SP were significant when mediating happiness and the five outcomes. However, SP mediated the relationship from thriving and depression to three outcomes: internalized conduct and inhibitory control (<italic>p</italic>s &#x02264; 0.04), and misbehavior (<italic>p</italic>s &#x02264; 0.006). SP also mediated paths between anxiety and all outcomes except concern (<italic>p</italic>s &#x02264; 0.008).</p>
<p>Regarding direct effects, happiness predicted concern after wrong-doing (<italic>p</italic> = 0.03) and, contrary to our hypotheses, positively predicted misbehavior (<italic>p</italic> = 0.02). Thriving directly predicted empathy and concern (<italic>p</italic> &#x02264; 0.009), whereas depression predicted inhibitory control (<italic>p</italic> = 0.02) and misbehavior (<italic>p</italic> &#x0003C; 0.001). Both depression and anxiety predicted internalized conduct (<italic>p</italic> &#x02264; 0.045).</p>
</sec>
</sec>
<sec>
<title>Discussion</title>
<p>These findings suggest that fostering wellbeing may be a significant contribution to future moral socialization and self-regulation <italic>via</italic> sociomoral temperament. Specifically, the connections between our measures of wellbeing and moral socialization were successfully mediated in whole or in part by our measure of sociomoral temperament. The relations were stronger for the self-regulatory outcomes, in that those predicted by thriving and anxiety were not accompanied by direct effects. These stronger relations to self-regulatory than moral socialization outcomes might be a function of development, in that the former might emerge earlier than the latter (Berger et al., <xref ref-type="bibr" rid="B2">2007</xref>). Also, as the relation between physiological wellbeing and self-regulation is well-established (Lupien et al., <xref ref-type="bibr" rid="B37">2009</xref>), these results suggest that one mechanism of that connection in early childhood might be sociomoral temperament.</p>
</sec>
</sec>
<sec id="s6">
<title>Study 2</title>
<p>Our goal in Study 2 was to test whether these models applied equally well in a different culture. Despite the significant cultural variation between the USA and China, we expected CSMO to have a similar factor structure because of its focus on fundamental social approach-avoidance, which characterizes human interactions generally. This second sample afforded examination of measurement invariance across cultures as well as group comparisons with the USA data. We also conducted the same examination of mediation effects of sociomoral temperament in relation to wellbeing and sociomoral outcomes as in Study 1.</p>
<sec>
<title>Method</title>
<sec>
<title>Participants</title>
<p>Data were collected from Chinese mothers (<italic>n</italic> = 382; <italic>Mage</italic> = 33.83 years; range: 21&#x02013;45; median income $120,000&#x02013;$160,000 US; 95% of mothers married or in civil unions). They were recruited through six Beijing preschools (Child <italic>Mage</italic> = 4.48, <italic>SD</italic> =0.90; 188 girls, 191 boys, 3 missing). Institutional review board approval and consent for participation were gathered before the survey was started. Participants received a parenting book to compensate them for their time.</p>
</sec>
<sec>
<title>Procedure</title>
<p>Chinese mothers responded <italic>via</italic> paper and pencil to all the same measures as USA mothers in Study 1.</p>
</sec>
<sec>
<title>Measures</title>
<p>Most measures had been translated and validated in Chinese in a previous study (Narvaez et al., <xref ref-type="bibr" rid="B50">2013</xref>). The remainder was translated into Mandarin (including standard procedures for back translation).</p>
<p><italic>Child Wellbeing</italic>. The same measures were used as in Study 1. Happiness had an alpha of 0.62; thriving &#x003B1; = 0.81; depression &#x003B1; = 0.86; anxiety &#x003B1; = 0.90.</p>
<p><italic>Child Moral Socialization</italic>. The same measures were used as in Study 1. Empathy had an alpha of 0.80; concern after wrongdoing &#x003B1; = 0.78; internalized conduct &#x003B1; = 0.60.</p>
<p><italic>Child Self-Regulation</italic>. The same measures were used as in Study 1. Inhibitory control had an alpha of 0.81; misbehavior &#x003B1; = 0.67.</p>
</sec>
<sec>
<title>Analytical Plan</title>
<p>We conducted a confirmatory factor analysis. In order to be able to compare country means, we tested for measurement invariance.</p>
</sec>
</sec>
<sec>
<title>Results</title>
<sec>
<title>Factor Structure and Measurement Invariance</title>
<p>We detected a similar factor structure as in the USA data. We found that a two-factor CFA model acceptably fit the data [robust <inline-formula><mml:math id="M3"><mml:msubsup><mml:mrow><mml:mi>&#x003C7;</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mn>11</mml:mn></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 31.66, <italic>p</italic> &#x0003C; 0.001, CFI = 0.98, RMSEA = 0.07] and all standardized factor loadings were higher than 0.50 (see <xref ref-type="table" rid="T1">Table 1</xref>). Self-Protectionism and Imaginative Relational Attunement were not significantly correlated.</p>
<p>After confirming the two-factor structure for the CSMO within China, we tested for measurement invariance between the USA and China at the scale level. We obtained partial invariance by freeing two parameters (factor loadings of &#x0201C;social enjoyment&#x0201D; and &#x0201C;social opposition&#x0201D; intercepts) and constraining all other factor loadings and manifest variable intercepts to be equal across countries (model 3b). Model 3b was the final model and suggested partial strong invariance (see <xref ref-type="table" rid="T5">Table 5</xref>). With such a model, we were able to compare the means of the two factors between countries.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Goodness-of-fit indices and Chi-square difference tests for models testing measurement invariance with respect to country.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th valign="top" align="center"><bold>Model compared</bold></th>
<th valign="top" align="center"><bold>Chi-square</bold></th>
<th valign="top" align="center"><bold>df</bold></th>
<th valign="top" align="center"><bold>Chi. Dif</bold>.</th>
<th valign="top" align="center"><bold>df Dif</bold>.</th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1. Baseline (configural)</td>
<td/>
<td valign="top" align="center">210.15</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">2a. Invariant loadings</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">235.20</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">19.27</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">2b. Invariant loadings (free: &#x0039B;<sub>enjoyment</sub>)</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">214.16</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">3.54</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.472</td>
</tr>
<tr>
<td valign="top" align="left">3a. Invariant loadings and intercepts (free: &#x0039B;<sub>enjoyment</sub>)</td>
<td valign="top" align="center">2b</td>
<td valign="top" align="center">269.59</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">44.68</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">3b. Invariant loadings and intercepts (free: &#x0039B;<sub>enjoyment</sub>; &#x003C5;<sub>opposition</sub>)</td>
<td valign="top" align="center">2b</td>
<td valign="top" align="center">226.08</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">8.93</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.063</td>
</tr>
<tr>
<td valign="top" align="left">4. Invariant loadings, intercepts, and residuals (free: &#x0039B;<sub>enjoyment</sub>; &#x003C5;<sub>opposition</sub>)</td>
<td valign="top" align="center">3b</td>
<td valign="top" align="center">693.35</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">374.85</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>&#x0039B; = factor loading; &#x003C5; = manifest intercept</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="T2">Table 2</xref> includes comparisons on each scale between and within country and gender. In this study, missing data ranged from &#x0003C;1 to 4% and sample ranges are listed under China for boys, girls, the total sample. We also investigated whether the factor score differences by country were linked to specific CSMO sub-scales. For all CSMO subscales, USA children scored significantly higher than Chinese children, even after a Bonferroni correction. No gender differences in CSMO scales emerged within country. However, we wondered whether CSMO subscale differences between countries were related to gender; the lack of correlations between countries suggested that this difference may not be related to gender. USA boys and girls scored significantly higher than their Chinese counterparts on all CSMO scales and subscales.<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref></p>
<p>Correlations are presented in <xref ref-type="table" rid="T3">Table 3</xref> (below diagonal). The hypothesis that wellbeing would be positively correlated with engagement scores and ill-being with self-protectionism was supported (<xref ref-type="fig" rid="F1">Figure 1</xref>, path A), but the reverse was not well-supported. Depression was only negatively correlated with IRA and enjoyment, and anxiety only with the latter; thriving was only negatively correlated with SP and withdrawal. However, these few negative correlations underscore the idea that engagement and self-protection are not exclusive of one another but that an individual can display one or the other in different social situations (Narvaez, <xref ref-type="bibr" rid="B44">2014</xref>), which a social-cognitive theory would predict (Lapsley and Narvaez, <xref ref-type="bibr" rid="B35">2004a</xref>).</p>
<p>Similar to the USA, we found partial support for the hypothesis that CSMO engagement scores and social outcomes of self-regulation and moral socialization would be positively correlated (<xref ref-type="fig" rid="F1">Figure 1</xref>, path B). Few negative correlations emerged between CSMO Self-Protectionism scores and child outcomes, although they were positively correlated (as expected) with misbehavior. In general, IRA predicted some aspects of moral socialization, but only misbehavior was linked to SP. Withdrawal in particular was unrelated to any child outcomes, suggesting that Chinese mothers did not associate fearfulness with moral socialization or self-regulation.</p>
</sec>
<sec>
<title>Contributions of Sociomoral Temperament When Mediating the Relationship Between Wellbeing and Child Outcomes</title>
<p>We tested for mediation effects using the same model as the USA sample (<xref ref-type="fig" rid="F1">Figure 1</xref>, path C), which also yielded four saturated, perfect fitting models, <inline-formula><mml:math id="M4"><mml:msubsup><mml:mrow><mml:mi>&#x003C7;</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mn>0</mml:mn></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 1.00, <italic>p</italic> = 0.00, CFI = 1.00, RMSEA = 0.00 (see <xref ref-type="table" rid="T6">Table 6</xref>). For specific indirect effects, IRA significantly mediated the same relationships as the total indirect effects for happiness and thriving (<italic>p</italic>s &#x02264; 0.002). For depression, IRA significantly mediated the relationship with empathy and inhibitory control (<italic>p</italic>s = 0.03). IRA did not yield any significant specific indirect effects for anxiety. SP did not mediate relationships between happiness, thriving, and the five outcome variables. However, SP significantly mediated the relationship between depression, anxiety and concern after wrong-doing (<italic>p</italic>s &#x02264; 0.005) and between anxiety and inhibitory control (<italic>p</italic> = 0.004).</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Study 2 (China) summary of mediation effects.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Predictor outcome</bold></th>
<th valign="top" align="center"><bold>&#x000E2;: path to IRA (<italic>p</italic>)</bold></th>
<th valign="top" align="center"><bold>b: path from IRA (<italic>p</italic>)</bold></th>
<th valign="top" align="center"><bold>&#x000E2;: path to SP (<italic>p</italic>)</bold></th>
<th valign="top" align="center"><bold>b: path from SP (<italic>p</italic>)</bold></th>
<th valign="top" align="center"><bold>&#x000E2; <xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref> b IRA [95% CI]</bold></th>
<th valign="top" align="center"><bold>&#x000E2; <xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref> b SP (95% CI)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Happiness</td>
<td valign="top" align="center">1.29 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.03 (0.737)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Empathy</td>
<td/>
<td valign="top" align="center">0.04 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.02 (0.374)</td>
<td valign="top" align="center">0.05 (0.02, 0.09)</td>
<td valign="top" align="center">0.00 (&#x02212;0.01, 0.01)</td>
</tr>
<tr>
<td valign="top" align="left">Concern</td>
<td/>
<td valign="top" align="center">&#x02212;0.01 (0.797)</td>
<td/>
<td valign="top" align="center">&#x02212;0.13 (0.001)</td>
<td valign="top" align="center">&#x02212;0.01 (&#x02212;0.10, 0.08)</td>
<td valign="top" align="center">0.003 (&#x02212;0.03, 0.02)</td>
</tr>
<tr>
<td valign="top" align="left">Int. conduct</td>
<td/>
<td valign="top" align="center">0.01 (0.451)</td>
<td/>
<td valign="top" align="center">&#x02212;0.01 (0.727)</td>
<td valign="top" align="center">0.01 (&#x02212;0.01, 0.02)</td>
<td valign="top" align="center">0.00 (&#x02212;0.03, 0.02)</td>
</tr>
<tr>
<td valign="top" align="left">Inh. control</td>
<td/>
<td valign="top" align="center">0.07 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">0.002 (0.738)</td>
<td valign="top" align="center">0.07 (0.05, 0.14)</td>
<td valign="top" align="center">&#x02212;0.06 (&#x02212;0.02, 0.01)</td>
</tr>
<tr>
<td valign="top" align="left">Misbehavior</td>
<td/>
<td valign="top" align="center">&#x02212;0.02 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">0.00 (0.965)</td>
<td valign="top" align="center">&#x02212;0.02 (&#x02212;0.06, &#x02212;0.001)</td>
<td valign="top" align="center">0.00 (&#x02212;0.003, 0.003)</td>
</tr>
<tr>
<td valign="top" align="left">Thriving</td>
<td valign="top" align="center">2.33 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.23 (0.050)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Empathy</td>
<td/>
<td valign="top" align="center">0.03 (0.002)</td>
<td/>
<td valign="top" align="center">&#x02212;0.01 (0.650)</td>
<td valign="top" align="center">0.03 (0.02, 0.14)</td>
<td valign="top" align="center">&#x02212;0.01 (&#x02212;0.01, 0.01)</td>
</tr>
<tr>
<td valign="top" align="left">Concern</td>
<td/>
<td valign="top" align="center">0.03 (0.159)</td>
<td/>
<td valign="top" align="center">&#x02212;0.14 (&#x0003C;0.001)</td>
<td valign="top" align="center">0.07 (&#x02212;0.01, 0.17)</td>
<td valign="top" align="center">0.03 (&#x02212;0.001, &#x02212;0.08)</td>
</tr>
<tr>
<td valign="top" align="left">Int. conduct</td>
<td/>
<td valign="top" align="center">0.00 (0.997)</td>
<td/>
<td valign="top" align="center">&#x02212;0.00 (0.959)</td>
<td valign="top" align="center">0.00 (&#x02212;0.04, 0.04)</td>
<td valign="top" align="center">&#x02212;0.00 (&#x02212;0.01, 0.01)</td>
</tr>
<tr>
<td valign="top" align="left">Inh. control</td>
<td/>
<td valign="top" align="center">0.05 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.05 (0.008)</td>
<td valign="top" align="center">0.13 (0.07, 0.21)</td>
<td valign="top" align="center">0.01 (&#x02212;0.003, 0.03)</td>
</tr>
<tr>
<td valign="top" align="left">Misbehavior</td>
<td/>
<td valign="top" align="center">&#x02212;0.01 (0.343)</td>
<td/>
<td valign="top" align="center">&#x02212;0.01 (0.532)</td>
<td valign="top" align="center">&#x02212;0.01 (&#x02212;0.03, 0.004)</td>
<td valign="top" align="center">0.001 (&#x02212;0.01, 0.009)</td>
</tr>
<tr>
<td valign="top" align="left">Depression</td>
<td valign="top" align="center">&#x02212;0.73 (0.020)</td>
<td/>
<td valign="top" align="center">1.44 (&#x0003C;0.001)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Empathy</td>
<td/>
<td valign="top" align="center">0.05 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">0.01 (0.818)</td>
<td valign="top" align="center">&#x02212;0.03 (&#x02212;0.07,&#x02212;0.008)</td>
<td valign="top" align="center">0.01 (&#x02212;0.04, 0.07)</td>
</tr>
<tr>
<td valign="top" align="left">Concern</td>
<td/>
<td valign="top" align="center">0.04 (0.012)</td>
<td/>
<td valign="top" align="center">&#x02212;0.12 (0.002)</td>
<td valign="top" align="center">&#x02212;0.03 (&#x02212;0.08, 0.003)</td>
<td valign="top" align="center">&#x02212;0.17 (&#x02212;0.34, &#x02212;0.04)</td>
</tr>
<tr>
<td valign="top" align="left">Int. conduct</td>
<td/>
<td valign="top" align="center">0.01 (0.221)</td>
<td/>
<td valign="top" align="center">&#x02212;0.00 (0.807)</td>
<td valign="top" align="center">0.01 (&#x02212;0.02, 0.01)</td>
<td valign="top" align="center">&#x02212;0.00 (&#x02212;0.06, 0.05)</td>
</tr>
<tr>
<td valign="top" align="left">Inh. control</td>
<td/>
<td valign="top" align="center">0.07 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.04 (0.066)</td>
<td valign="top" align="center">&#x02212;0.05 (&#x02212;0.01, &#x02212;0.12)</td>
<td valign="top" align="center">&#x02212;0.06 (&#x02212;0.14, 0.00)</td>
</tr>
<tr>
<td valign="top" align="left">Misbehavior</td>
<td/>
<td valign="top" align="center">&#x02212;0.01 (0.010)</td>
<td/>
<td valign="top" align="center">0.00 (0.899)</td>
<td valign="top" align="center">0.01 (.00, 0.02)</td>
<td valign="top" align="center">0.002 (&#x02212;0.05, 0.04)</td>
</tr>
<tr>
<td valign="top" align="left">Anxiety</td>
<td valign="top" align="center">&#x02212;0.18 (0.430)</td>
<td/>
<td valign="top" align="center">0.60 (&#x0003C;0.001)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Empathy</td>
<td/>
<td valign="top" align="center">0.05 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.02 (0.225)</td>
<td valign="top" align="center">&#x02212;0.01 (&#x02212;0.03, 0.01)</td>
<td valign="top" align="center">&#x02212;0.01 (&#x02212;0.04, 0.01)</td>
</tr>
<tr>
<td valign="top" align="left">Concern</td>
<td/>
<td valign="top" align="center">0.02 (0.324)</td>
<td/>
<td valign="top" align="center">&#x02212;0.13 (0.001)</td>
<td valign="top" align="center">&#x02212;0.08 (&#x02212;0.03, 0.01)</td>
<td valign="top" align="center">&#x02212;0.08 (&#x02212;0.14, &#x02212;0.35)</td>
</tr>
<tr>
<td valign="top" align="left">Int. conduct</td>
<td/>
<td valign="top" align="center">0.01 (0.150)</td>
<td/>
<td valign="top" align="center">&#x02212;0.02 (0.251)</td>
<td valign="top" align="center">&#x02212;0.01 (&#x02212;0.01, 0.004)</td>
<td valign="top" align="center">0.07 (&#x02212;0.03, 0.01)</td>
</tr>
<tr>
<td valign="top" align="left">Inh. control</td>
<td/>
<td valign="top" align="center">0.07 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">&#x02212;0.07 (0.001)</td>
<td valign="top" align="center">&#x02212;0.01 (&#x02212;0.05, 0.02)</td>
<td valign="top" align="center">&#x02212;0.04 (&#x02212;0.08, &#x02212;0.02)</td>
</tr>
<tr>
<td valign="top" align="left">Misbehavior</td>
<td/>
<td valign="top" align="center">&#x02212;0.02 (&#x0003C;0.001)</td>
<td/>
<td valign="top" align="center">0.01 (0.628)</td>
<td valign="top" align="center">0.00 (&#x02212;0.01, 0.02)</td>
<td valign="top" align="center">0.04 (&#x02212;0.09, 0.01)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>IRA, Imaginative Relational Attunement; SP, self-protectionism; CI, confidence interval</italic>.</p>
<p><italic>The confidence intervals were bootstrapped. The formula is: point estimate &#x000B1; z</italic></p>
<fn id="TN5"><label>&#x0002A;</label><p><italic>s/&#x0221A;n</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Direct effects emerged for happiness in relation to empathy and concern after wrong-doing (<italic>p</italic>s &#x02264; 0.001). Thriving likewise directly predicted all but concern (<italic>p</italic>s &#x02264; 0.02). Depression directly predicted empathy (<italic>p</italic> = 0.02) and anxiety directly predicted internalized conduct (<italic>p</italic> = 0.02).</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s7">
<title>Discussion</title>
<p>In this sample, a two-factor structure for CSMO again emerged, and sociomoral temperament mediated some of the relations between wellbeing and social outcomes. The mediation analyses suggest the greatest role for sociomoral temperament was between the illbeing predictors (depression and anxiety) and concern and inhibitory control, at least with respect to total indirect effects. Similar patterns emerged for total indirect and IRA-specific mediation between happiness and inhibitory control and misbehavior. In comparison to the USA sample, these findings suggest possible cultural differences with respect to the role of sociomoral temperament in connecting wellbeing and social outcomes.</p>
<p>Most of the CSMO differences between subscales that emerged were country rather than gender differences, with the USA having significantly higher scores even after adjustments for multiple comparisons. For the subscales associated with IRA, these findings are consistent with other research indicating that American mothers tend to emphasize their children&#x00027;s successes and deemphasize their failures, whereas Chinese mothers do the opposite (Ng et al., <xref ref-type="bibr" rid="B51">2007</xref>). Although CSMO factors are not measuring successes and failures per se, the generally positive valence of the items might have elicited higher endorsement from American mothers than Chinese mothers. Additionally, if expectations about the appropriateness of displaying fear, anger, or timidity differ between cultures, what children show and how parents rate those behaviors might also differ (Louie et al., <xref ref-type="bibr" rid="B36">2013</xref>). At the same time, the Chinese mothers scored their children lower on every CSMO factor subscale except anxiety. Chinese culture is a shame-socialized culture, emphasizing maintenance of others&#x00027; approval, especially elders (filial piety), and avoidance of disappointing others (Schoenhals, <xref ref-type="bibr" rid="B64">1993</xref>); consequently, parenting even of young children tends to emphasize right behavior, compliance after wrongdoing and making amends (Fung, <xref ref-type="bibr" rid="B12">1999</xref>). Perhaps low scores in China occurred because Chinese citizens tend to minimize emotions in their lives (Ryder et al., <xref ref-type="bibr" rid="B62">2008</xref>), and they have specific longstanding etiquette rules for behavior such as self-control and obedience to elders, which they may consequently judge more harshly (Conrad, <xref ref-type="bibr" rid="B5">2019</xref>).</p>
</sec>
<sec id="s8">
<title>General Discussion</title>
<p>In these studies, we hypothesized that sociomoral temperament would mediate the relationship between wellbeing and sociomoral outcomes in two countries, the USA and China. As hypothesized, we found a two-factor solution for our measure of sociomoral temperament in both samples for Imaginative Relational Attunement (IRA) and Self-Protectionism (SP), and in both samples, mediation analyses demonstrated that these factors influenced the relationship between wellbeing and social outcomes. These findings support the theory that psychological wellbeing influences moral development through children&#x00027;s orientation toward the social world in early childhood, though results need to be understood in light of their cross-sectional nature.</p>
<p>Similarities and differences emerged in the patterns when examining models across countries. For example, IRA mediated everything in the USA but not in China. With respect to child outcomes, at least one factor of sociomoral temperament effectively mediated the relationship with the wellbeing measures in the USA, and connections emerged for all outcomes except internalized conduct for China. For internalized conduct, the Chinese scores were less varied than in the US sample, which might account for the lack of mediation, and further exploration of parents&#x00027; conceptualization of internalized conduct across cultures would illuminate these relationships at this point in development.</p>
<p>Across both countries IRA demonstrated a higher number of specific and direct effects than SP. One interpretation of this result is that an engaged sociomoral temperament plays a greater and more varied role in mediating between wellbeing and social outcomes than does self-protectionism. However, the samples were drawn from typically-developing, middle-class populations that scored higher on thriving and happiness and lower on anxiety and depression. They exhibited more variation on the IRA than the SP scores. A wider range of scores on SP, such as that obtainable in clinical populations, might result in greater variation. In typically-developing samples like these, who have higher happiness and thriving scores, IRA might be a more typical outcome. Thus, as a positive mediator, IRA might have captured more variance than SP. This idea does not negate SP as a mediator but does suggest a need for exploration in samples that have less attenuated scores.</p>
<sec>
<title>The Importance of Wellbeing for Sociomoral Temperament, Moral Socialization, and Self-Regulation</title>
<p>Our analyses demonstrated relations between wellbeing, self-regulation, and moral socialization with many relations mediated by CSMO scales in the USA and fewer in China. These results have several implications for understanding the development of morality in early life and possible directions for future research, including the embodied nature of moral functioning, the developmental progression of capacities relevant to moral behavior, and the usefulness of sociomoral temperament as a construct and component of moral development.</p>
<p>Theoretically, both wellbeing and CSMO orientations are based in biosocial functioning. Understanding the psychobiological mechanisms that lead to individual variations in wellbeing, and concomitantly, sociomoral temperament, is a promising avenue for future research. For example, parental responsivity, especially given its relation to moral socialization measures (Kochanska, <xref ref-type="bibr" rid="B28">2002</xref>), is likely predictive of the enhanced wellbeing that would foster development of an IRA orientation. However, other experiences, such as those with direct links to biosocial processes such as self-regulation, might have significant influence on the neurological underpinnings of a self-protectionist versus a relational attunement social orientation (Narvaez, <xref ref-type="bibr" rid="B44">2014</xref>).</p>
<p>The fact that sociomoral temperament mediated the relations between wellbeing and self-regulation more so than moral socialization&#x02014;and that these findings emerged in both samples (albeit in different patterns)&#x02014;might be explained by the point in development at which these processes were measured (Berger et al., <xref ref-type="bibr" rid="B2">2007</xref>). Children&#x00027;s development of empathy and concern after wrongdoing, for example, requires a significant cognitive component that includes attention to another&#x00027;s feelings&#x02014;a capacity that is not fully formed in early childhood. Inhibitory control and the prevention of misbehavior, in contrast, are self-focused behaviors influenced by social contexts. These behaviors are components of moral development because of their implications for interpersonal relationships, but their mastery, depending as it does on curbing impulsivity, might be experienced intrapersonally at least some of the time, meaning that children might confront, practice, and master these developmental tasks prior to those that involve the perspectives of others. If so, the implication of these findings is that at this point in early childhood, wellbeing might be particularly important for promoting self-regulation both directly and through the construction of the implicit systems measured by sociomoral temperament. Whether these relations emerge similarly at other points in development is a topic for future research.</p>
<p>Mediating effects of sociomoral temperament across both countries also point to the possible explanatory power of TEM. Regardless of cultural influences, sociomoral temperament, as understood through social approach (IRA) and social withdrawal (SP) temperaments, helps explain the relationship between wellbeing and child social outcomes in early childhood. Similar to the TEM adult studies (Narvaez, <xref ref-type="bibr" rid="B44">2014</xref>; Narvaez and Hardy, <xref ref-type="bibr" rid="B46">2016</xref>; Narvaez et al., <xref ref-type="bibr" rid="B48">2016a</xref>), evidence from this study suggests that TEM global temperaments are important variables in understanding the links between wellbeing and social outcomes. Our results contribute to this growing literature but also extend it by providing evidence that sociomoral temperament is important for understanding <italic>child</italic> wellbeing and social outcomes. The mediation model suggests that the exclusion of sociomoral temperament may lead to misrepresentation of the relationship between child wellbeing and social outcomes. For both research and practice, including sociomoral temperament may be necessary to both adequately investigate and understand the way in which child wellbeing relates to social outcomes.</p>
</sec>
<sec>
<title>Limitations and Future Directions</title>
<p>This paper has several limitations. First, it was a cross-sectional set of studies which allow only a glimpse into potential developmental trajectories. Second, the data were collected in different ways, online across the USA in one sample and on paper in several preschools in China. These strategies may have had an effect on the nature of who was recruited and how they responded. Third, the correlations found between our measures of sociomoral temperament and other child outcomes might have been inflated by the use of maternal report for both. Observational measures should be used in future studies. Fourth, while the comparison of the USA and China is useful, truly establishing cultural invariance of CSMO requires more samples. Fifth, we did not include tests of the childhood environment so we cannot relate CSMO scores to childhood experiences (although see Tarsha et al., <xref ref-type="bibr" rid="B69">2020</xref>). Future work might use CSMO to assess relationships between aspects of wellbeing and changes or stability in sociomoral temperament over time. Such an approach might illustrate whether the timing and intensity of experiences related to wellbeing are critical to the development of a more flexible and open sociomoral temperament.</p>
<p>Despite these limitations, our results do provide some support for the role of sociomoral temperaments in children&#x00027;s social outcomes. According to TEM, these different sociomoral orientations are based upon global brain states or neurobiological dispositions influenced by wellbeing. Future research should consider taking into consideration the components of wellbeing that promote or deter social approach or withdrawal.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="s9">
<title>Conclusion</title>
<p>The findings presented here support the idea that early wellbeing influences social outcomes and that sociomoral temperament helps explain this relationship. Our results suggest that sociomoral temperament is a mechanism worth investigating in explaining the connection between psychological wellbeing and young children&#x00027;s moral development. The pattern of findings between the USA and China samples suggests that some relation between wellbeing, sociomoral temperament, and social outcomes might be universal, but that differences in cultural expectations, perhaps with respect to children&#x00027;s obedience to adult authority (Fung, <xref ref-type="bibr" rid="B12">1999</xref>), might govern the exact connections that emerge. As children&#x00027;s wellbeing helps formulate children&#x00027;s sociomoral temperament, the inclination to approach or withdraw from social interaction, the ways in which they learn to function in the world appear to have significance for later social capacities. Viewing morality as a function of holistic wellbeing might have significant ramifications for understanding how psychological functioning influences children&#x00027;s nascent morality and consequent social functioning.</p>
</sec>
<sec sec-type="data-availability" id="s10">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s11">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by University of Notre Dame Institutional Review Board. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s12">
<title>Author Contributions</title>
<p>All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.</p>
</sec>
<sec sec-type="funding-information" id="s13">
<title>Funding</title>
<p>We thank the Institute for Scholarship in the Liberal Arts at the University of Notre Dame for its financial support.</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="s14">
<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>
</sec>
</body>
<back>
<ack><p>We thank Lifang Deng for her assistance in collecting data.</p>
</ack>
<sec sec-type="supplementary-material" id="s15">
<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.2021.742199/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpsyg.2021.742199/full#supplementary-material</ext-link></p>
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<app-group>
<app id="A1">
<title>Appendix</title>
<sec>
<title>Child Sociomoral Orientation Measure (CSMO)</title>
<p>Think of your child in SOCIAL SITUATIONS. Indicate how much your child shows the following behaviors. Response scale: I have never seen my child be this way or heard that my child acts this way.</p>
<p>I have seen my child be this way or heard that my child acts this way a couple of times ever.</p>
<p>I have seen my child be this way or heard that my child acts this way multiple times in the past.</p>
<p>I have seen my child be this way or heard that my child acts this way every week.</p>
<p>I have seen my child be this way or heard that my child acts this way every day.</p>
<p>I have seen my child be this way or heard that my child acts this way several times a day.</p>
<table-wrap position="float">
<caption><p>Ethic of Self-Protection.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Social opposition</bold></th>
<th valign="top" align="left"><bold>Social distrust</bold></th>
<th valign="top" align="left"><bold>Social withdrawal</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Combative</td>
<td valign="top" align="left">Watchful</td>
<td valign="top" align="left">Timid</td>
</tr>
<tr>
<td valign="top" align="left">Easily upset</td>
<td valign="top" align="left">Suspicious</td>
<td valign="top" align="left">Withdrawing</td>
</tr>
<tr>
<td valign="top" align="left">Hostile</td>
<td valign="top" align="left">Untrusting</td>
<td valign="top" align="left">Anxious</td>
</tr>
<tr>
<td valign="top" align="left">Argumentative</td>
<td valign="top" align="left">Vigilant</td>
<td valign="top" align="left">Cowardly</td>
</tr>
<tr>
<td valign="top" align="left">Uncooperative</td>
<td/>
<td valign="top" align="left">Fearful</td>
</tr>
<tr>
<td valign="top" align="left">Aggressive</td>
<td/>
<td valign="top" align="left">Nervous</td>
</tr>
<tr>
<td valign="top" align="left">Fights easily</td>
<td/>
<td valign="top" align="left">Scared</td>
</tr>
<tr>
<td valign="top" align="left">Angry</td>
<td/>
<td valign="top" align="left">Hesitant</td>
</tr>
<tr>
<td valign="top" align="left">Threatening</td>
<td/>
<td valign="top" align="left">Wallflower</td>
</tr>
<tr>
<td valign="top" align="left">Hot-tempered</td>
<td/>
<td valign="top" align="left">Freezes</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float">
<caption><p>Ethic of Engagement.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Social enjoyment</bold></th>
<th valign="top" align="left"><bold>Social attunement</bold></th>
<th valign="top" align="left"><bold>Social consideration</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Excited</td>
<td valign="top" align="left">Forgiving</td>
<td valign="top" align="left">Thoughtful</td>
</tr>
<tr>
<td valign="top" align="left">Laughs</td>
<td valign="top" align="left">Gentle</td>
<td valign="top" align="left">Attentive</td>
</tr>
<tr>
<td valign="top" align="left">Happy</td>
<td valign="top" align="left">Kind hearted</td>
<td valign="top" align="left">Considerate of others</td>
</tr>
<tr>
<td valign="top" align="left">Pleasant</td>
<td valign="top" align="left">Cuddly</td>
<td valign="top" align="left">Moral</td>
</tr>
<tr>
<td valign="top" align="left">Cheerful</td>
<td valign="top" align="left">Sympathetic</td>
<td valign="top" align="left">Honorable</td>
</tr>
<tr>
<td valign="top" align="left">Loving</td>
<td valign="top" align="left">Empathic</td>
<td valign="top" align="left">Respectful</td>
</tr>
<tr>
<td valign="top" align="left">Affectionate</td>
<td valign="top" align="left">Supportive</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Playful</td>
<td valign="top" align="left">Comforting</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Cheerfully interactive</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Ethic of Imagination</title>
<p><underline>Social Imagination</underline></p>
<p>Creative</p>
<p>Original</p>
<p>Enterprising</p>
<p>Thinks of new ideas</p>
<p>Artistic</p>
<p>Innovative</p>
</sec>
</app>
</app-group>
<fn-group>
<fn id="fn0001"><p><sup>1</sup>When the same item is given to different groups of respondents, they may read it differently owing to cultural differences, which is why we examined measurement invariance across countries. We did not examine gender invariance as the items were given to mothers of small children, instead of children themselves, and we did not expect child gender to influence a mother&#x00027;s reading or interpretation of our items.</p></fn>
</fn-group>
</back>
</article>
