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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Dev. Psychol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Developmental Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Dev. Psychol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2813-7779</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fdpys.2026.1644795</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Investigating a race-based strength bias across development: evidence from children, adolescents, and adults</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wefferling</surname> <given-names>Julia</given-names></name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
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<uri xlink:href="https://loop.frontiersin.org/people/3092762"/>
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<contrib contrib-type="author">
<name><surname>Muentener</surname> <given-names>Paul</given-names></name>
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<aff id="aff1"><institution>Department of Psychology, Tufts University</institution>, <city>Medford</city>, <state>MA</state>, <country country="us">United States</country></aff>
<author-notes>
<corresp id="c001"><label>&#x0002A;</label>Correspondence: Julia Wefferling, <email xlink:href="mailto:wefferlingj@rhodes.edu">wefferlingj@rhodes.edu</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-04-01">
<day>01</day>
<month>04</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>4</volume>
<elocation-id>1644795</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>19</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2026 Wefferling and Muentener.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Wefferling and Muentener</copyright-holder>
<license>
<ali:license_ref start_date="2026-04-01">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<p>White adults perceive Black men as stronger, taller, heavier, and more capable of harm than White men of the same size. The current study aimed to investigate the development of this race-based size bias. Children (6&#x02013;11 years), adolescents (12&#x02013;17 years), and adults (18&#x0002B;-year-old college students) judged the strength, height, and weight of Black and White characters who participated in negative interactions; we recruited a racially diverse sample, though most participants in the final sample were White individuals. Although we did not find consistent evidence for biases related to height or weight, we did identify age-related differences in a race-based bias related to strength across development. Children&#x00027;s strength ratings depended on the actions characters engaged in, but not their race; adolescents ratings depended separately on actions and race; adults&#x00027; race-based biases for strength varied by actions. These findings are discussed as to how they might relate to how a race-based size biases seen in adulthood emerges across development.</p></abstract>
<kwd-group>
<kwd>adolescents</kwd>
<kwd>children</kwd>
<kwd>physical size</kwd>
<kwd>race-based size bias</kwd>
<kwd>racial bias</kwd>
<kwd>stereotypes</kwd>
<kwd>strength</kwd>
</kwd-group>
<funding-group>
 <funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This research was partially funded by the Tufts University Graduate Student Research Competition award to JW.</funding-statement>
</funding-group>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="64"/>
<page-count count="11"/>
<word-count count="9571"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cognitive Development</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<p>Research has shown that White adults display a race-based size bias (<xref ref-type="bibr" rid="B19">Freiburger et al., 2023</xref>; <xref ref-type="bibr" rid="B64">Wilson et al., 2017</xref>); they tend to perceive Black men as stronger, taller, heavier, and more capable of harm than White men of the same physical size (<xref ref-type="bibr" rid="B64">Wilson et al., 2017</xref>). This bias has serious implications. Black men are subject to more frequent stops by the police when they are perceived as tall (<xref ref-type="bibr" rid="B24">Hester and Gray, 2018</xref>). Also, non-Black participants&#x00027; perceptions of Black men&#x00027;s physical size predict their perceptions of harm and use of police force justifications (<xref ref-type="bibr" rid="B64">Wilson et al., 2017</xref>). White adults also represent negative interactions as more violent when performed by a Black person (<xref ref-type="bibr" rid="B15">Duncan, 1976</xref>), perceive non-dangerous objects (e.g., phone) as more threatening when they are paired with Black men, and associate weapons more quickly with Black men than with White men (<xref ref-type="bibr" rid="B12">Correll et al., 2002</xref>; <xref ref-type="bibr" rid="B45">Payne, 2001</xref>; <xref ref-type="bibr" rid="B60">Todd et al., 2021</xref>). The current study is an initial investigation into the presence of a race-based size bias in children, adolescents, and young adults.</p>
<p>Research focused on a race-based size bias in adults is situated in research on adult social cognition investigating the causes and consequences of representing Black men as threatening and more capable of harm (<xref ref-type="bibr" rid="B12">Correll et al., 2002</xref>; <xref ref-type="bibr" rid="B24">Hester and Gray, 2018</xref>; <xref ref-type="bibr" rid="B26">Holbrook et al., 2016</xref>; <xref ref-type="bibr" rid="B45">Payne, 2001</xref>; <xref ref-type="bibr" rid="B60">Todd et al., 2021</xref>; <xref ref-type="bibr" rid="B64">Wilson et al., 2017</xref>). Although there are several distinct mechanisms that contribute to racially-biased beliefs, <xref ref-type="bibr" rid="B64">Wilson et al. (2017)</xref> investigated the possibility that race-based threat perceptions derive from differences in how people perceive the physical size and formidability of Black men. Across a series of studies, the researchers made non-Black participants (though predominantly White) provide a series of size and threat-related judgments for Black and White targets. Across these studies Wilson and colleagues found consistent evidence for a race-based size bias. These biased responses were evident when bodies were presented with real photographs of Black and White faces &#x02013; taken from individuals who were matched in actual physical size - as well as images of bodies that masked the race of the target but were presented alongside distinctively Black or White names. While many of the studies conducted by <xref ref-type="bibr" rid="B64">Wilson et al. (2017)</xref> only employed non-Black perceivers, one study specifically assessed a potential race-based size bias in Black participants. They found that Black participants also judge Black men are physically stronger, but not more threatening, than White men of the same size showing that a race-based <italic>strength</italic> bias extends beyond White perceivers. Moreover, this bias appears to be specific to judgments about Black men, as <xref ref-type="bibr" rid="B27">Johnson and Wilson (2019)</xref> found that White, Asian, and Black perceivers rated Black men as stronger than both White and Asian men.</p>
<p>Recent evidence also suggests that a race-based size bias is not limited to White adults&#x00027; judgments about Black <italic>adult</italic> males. <xref ref-type="bibr" rid="B19">Freiburger et al. (2023)</xref> showed that White adults also judge Black <italic>adolescents</italic> as taller than White <italic>adolescents</italic> when judging real photographs of adolescents that were matched in height as well as computer-generated faces that were matched in all aspects except racial phenotypicality. White adults also rated Black adolescents in real photographs as less innocent than White adolescents. Finally, manipulating the anger expressions of faces &#x02013; a visible signal of threat &#x02013; influenced White adults height ratings only for White adolescents; while participants exhibited a baseline bias to rate Black adolescents as taller than White adolescents, adding a threat signal via an angry facial expression increased the size ratings for White adolescents only. These findings suggest that White adults have a bias to perceive Black individuals, as young as adolescents, as both taller and more threatening than White individuals.</p>
<p>Taken together, this area of research suggests that rather than being rooted in broadly-biased <italic>perceptions</italic> of <italic>out-group</italic> individuals, the race-based size bias appears to be rooted in a conceptual bias in how individuals specifically represent Black men. Although most research has been conducted with White participants, some evidence suggests that the bias to represent Black adult and adolescent males as physically larger (though not threatening) is also present in non-White adults. In the current study, we investigate the presence of the race-based size bias in children, adolescents, and young adults. To our knowledge, there has been no research on how this bias across development. Do children similarly display a bias to perceive Black people as taller, heavier, and stronger than White people, or is this bias specific to adults&#x00027; racial biases? Does this bias present itself differently across development? Given prior research provides some evidence that this bias is present in individuals from a range of racial backgrounds, we similarly investigate these questions in a sample of White and non-White participants; we also return to questions concerning the nature of a race-based size bias across White individuals and non-White individuals in the General Discussion.</p>
<p>Characterizing the presence of a race-based size bias across development is important for several reasons. First, developmental research can contribute to our theoretical understanding of the bias in adults. For example, do children initially represent Black individuals as threatening, and then map these race-threat biases to representations of size? Or, do children initially represent larger individuals as threatening, and then apply this size-threat bias to Black individuals as they acquire other stereotypes across development? Knowledge that one aspect of the bias emerges first developmentally may provide insight into how this bias operates cognitively in adults. Second, knowledge of when the bias emerges may help us identify the potential age-appropriate intrinsic (e.g., cognitive mechanisms) and extrinsic (e.g., environmental inputs) factors that we may consider in explaining how the bias develops. Finally, developmental research can inform interventions to potentially mitigate this bias. The absence of developmental research precludes us from addressing any of these questions. We begin to discuss how the findings of the current study can begin to speak to these questions in the General Discussion.</p>
<p>Although no prior developmental research has directly investigated the association between representations of race and physical size, researchers have investigated whether components of a race-based size bias are present across development. We briefly review below findings on children&#x00027;s reasoning related to race and physical size.</p>
<p>A large body of literature has shown that children (predominantly White children in many studies) are attuned to race &#x02013; cued by differences in skin color &#x02013; throughout childhood, and this early social cognition is influenced by the racial and ethnic diversity of children&#x00027;s environments (<xref ref-type="bibr" rid="B3">Anzures et al., 2013</xref>; <xref ref-type="bibr" rid="B16">Dunham et al., 2008</xref>; <xref ref-type="bibr" rid="B31">Mandalaywala and Legaspi, 2023</xref>; <xref ref-type="bibr" rid="B56">Sherman et al., 2013</xref>). Children who live in less racially diverse environments hold some essentialist beliefs about race and exhibit explicit in-group favoritism based on race (<xref ref-type="bibr" rid="B1">Aboud, 2003</xref>; <xref ref-type="bibr" rid="B22">Gedeon et al., 2021</xref>; <xref ref-type="bibr" rid="B25">Hirschfeld, 2008</xref>; <xref ref-type="bibr" rid="B32">Mandalaywala et al., 2019</xref>; <xref ref-type="bibr" rid="B35">McGlothlin and Killen, 2006</xref>, <xref ref-type="bibr" rid="B36">2010</xref>; <xref ref-type="bibr" rid="B44">Pauker et al., 2016a</xref>,<xref ref-type="bibr" rid="B43">b</xref>; <xref ref-type="bibr" rid="B54">Rutland et al., 2005</xref>); children also rate both ambiguous and unambiguous actions as meaner and more threatening when they are performed by a Black actor than a White actor (<xref ref-type="bibr" rid="B28">Lawrence, 1991</xref>; <xref ref-type="bibr" rid="B36">McGlothlin and Killen, 2010</xref>; <xref ref-type="bibr" rid="B55">Sagar and Schofield, 1980</xref>). Implicit pro-White and anti-Black attitudes are present as young as 6 years of age (<xref ref-type="bibr" rid="B4">Baron and Banaji, 2006</xref>), and these attitudes lead children to apply stereotypic information throughout childhood (<xref ref-type="bibr" rid="B6">Bigler and Liben, 2007</xref>). Finally, children are also aware of racial stereotypes by at least age 6, and this awareness increases throughout elementary school (<xref ref-type="bibr" rid="B2">Ambady et al., 2001</xref>; <xref ref-type="bibr" rid="B10">Castelli et al., 2009</xref>; <xref ref-type="bibr" rid="B14">Devine, 1989</xref>; <xref ref-type="bibr" rid="B38">McKown and Strambler, 2009</xref>; <xref ref-type="bibr" rid="B39">McKown and Weinstein, 2003</xref>; <xref ref-type="bibr" rid="B57">Sierksma et al., 2022</xref>); explicit endorsement of negative stereotypes is more likely to emerge in adolescence (<xref ref-type="bibr" rid="B11">Copping et al., 2013</xref>; <xref ref-type="bibr" rid="B18">Evans et al., 2011</xref>; <xref ref-type="bibr" rid="B41">Okeke et al., 2009</xref>; <xref ref-type="bibr" rid="B53">Rowley et al., 2007</xref>). Taken together, this research suggests that children display early social biases based on race, but that endorsement of specific racial stereotypes emerges later toward adolescence (<xref ref-type="bibr" rid="B14">Devine, 1989</xref>; <xref ref-type="bibr" rid="B57">Sierksma et al., 2022</xref>).</p>
<p>With respect to children&#x00027;s representations of physical size, research has shown that children recognize body size and its relation to dominance early in infancy and throughout childhood (<xref ref-type="bibr" rid="B29">Lourenco et al., 2016</xref>; <xref ref-type="bibr" rid="B34">Mascaro and Csibra, 2012</xref>; <xref ref-type="bibr" rid="B58">Terrizzi et al., 2019</xref>; <xref ref-type="bibr" rid="B59">Thomsen et al., 2011</xref>); for example, children have an expectation that individuals with larger body sizes should prevail in a dominance interactions. Children also form social preferences based on body size (i.e., preferring people with smaller bodies) and reason about the causes of height and weight by age four (<xref ref-type="bibr" rid="B9">Carvalho et al., 2021</xref>; <xref ref-type="bibr" rid="B13">Cramer and Steinwert, 1998</xref>; <xref ref-type="bibr" rid="B23">Harrison et al., 2016</xref>; <xref ref-type="bibr" rid="B40">Musher-Eizenman et al., 2004</xref>; <xref ref-type="bibr" rid="B46">Penny and Haddock, 2007</xref>; <xref ref-type="bibr" rid="B48">Raman, 2014</xref>, <xref ref-type="bibr" rid="B49">2017</xref>). Yet, no prior research, to our knowledge, has investigated whether children form associations between physical body size and race. Taken together, developmental research demonstrates that children represent the individual characteristics associated with a race-based size bias by at least the preschool years. Yet, when these representations are linked in a manner similar to a race-based size bias seen in adulthood is unknown.</p>
<p>The current study investigated the presence of a race-based size bias in children, adolecents, and young adults. Child (6- to 11-years), adolescents (12- to 17 years), and adult (college students, over 18 years of age) participants were introduced to male characters, who varied in race (Black, White) across trials and engaged in negative interactions with an unseen social partner. We then assessed how participants&#x00027; age and the character&#x00027;s race influenced judgments of the character&#x00027;s physical size (i.e., strength, height, weight).</p>
<p>We faced several methodological decisions when considering how to investigate the race-based size bias across several age ranges. Crucially, the current study aimed to employ the same stimuli and measures across different age groups to begin to tackle this challenge, which led to a series of careful, methodological choices.</p>
<p>First, we began by deciding the age of the targets. Previous research focusing on the race-based size bias have used both adolescent and adult faces, but also only had adult participants (<xref ref-type="bibr" rid="B19">Freiburger et al., 2023</xref>; <xref ref-type="bibr" rid="B27">Johnson and Wilson, 2019</xref>; <xref ref-type="bibr" rid="B64">Wilson et al., 2017</xref>). Because we recruited participants across many age ranges - children, adolescents, and adults &#x02013; we believed using child stimuli would be easier for children to gauge in terms of size estimation. Previous research has shown that children (6&#x02013;14 years of age) are relatively accurate at estimating their own body size (<xref ref-type="bibr" rid="B21">Gardner et al., 1999</xref>), but there is no research to our knowledge about children estimating adult body sizes. Intuitively, we hypothesized that children would use only the higher end of a scale estimating all adults to be large and tall since adults are much larger than our child participants. Additionally, adults are easily able to make judgments about Black and White children, and may generalize stereotypes about Black adults to young Black children (<xref ref-type="bibr" rid="B61">Todd et al., 2016</xref>). Thus, using stimuli of children for a study with child, adolescent, and adult participants seemed appropriate.</p>
<p>Second, we decided to use cartoon faces, rather than photographs of real faces, to depict the targets in our study to ensure we had control over the visual features present in the faces. While some researchers have criticized the use of cartoon and computer-generated faces in social cognitive development studies, and questioned their generalizability (<xref ref-type="bibr" rid="B20">Gaither et al., 2019</xref>; <xref ref-type="bibr" rid="B42">Packer and Moreno-Dulcey, 2022</xref>; <xref ref-type="bibr" rid="B47">Rakoczy, 2022</xref>; <xref ref-type="bibr" rid="B63">Wellman and Yu, 2022</xref>), other researchers argue that children often represent non-human stimuli as human and that this methodological choice offers more experimental control and makes it easier for researchers to study and understand children (<xref ref-type="bibr" rid="B50">Revencu and Csibra, 2024</xref>). This allowed us to control for the size of the faces while still ensuring participants would categorize the stimuli as &#x0201C;Black&#x0201D; and &#x0201C;White&#x0201D; categorically.</p>
<p>Our final methodological decision concerned how to assess the strength, height, and weight biases psychometrically. We assumed that children would have difficulty providing numerical judgments of heights and weights. Therefore, we opted to use Likert scales that could be used across all age ranges in this study.</p>
<p>The predictions for our study were primarily exploratory given that no research has been conducted on the race-based size bias developmentally. Given that children represent physical size, exhibit racial preferences, and display out-group biases as young as the preschool years, a race-based size bias may be present even in the youngest children tested in this study. However, given that children&#x00027;s stereotype awareness and endorsement increase across childhood, a race-based size bias may also emerge slowly across development, with little evidence of a race-based size bias at younger ages and increasing evidence in later childhood and adolescence. The findings from the current study can help begin to distinguish these alternative hypotheses.</p></sec>
<sec sec-type="materials|methods" id="s2">
<label>2</label>
<title>Materials and methods</title>
<sec>
<label>2.1</label>
<title>Participants</title>
<p>One hundred and seven 6- to 11-year-old children, 68 12- to 17-year-old adolescents, and 49 adults participated in this study. Children were recruited from a local museum in Boston, MA and through the online platform Children Helping Science, adolescents were recruited from the same local museum, and adults were undergraduate students. Caregiver- or self-reported gender and racial and ethnic identity information is displayed in <xref ref-type="table" rid="T1">Table 1</xref>; we did not collect information on participant&#x00027;s (or their family&#x00027;s) socioeconomic status.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Participant demographic information.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Participant Age Group</th>
<th valign="top" align="center" colspan="3">Gender</th>
<th valign="top" align="center" colspan="6">Race and ethnicity</th>
</tr>
</thead>
<tbody>
<tr>
<td/>
<th valign="top" align="center">Female</th>
<th valign="top" align="center">Male</th>
<th valign="top" align="center">Non-binary</th>
<th valign="top" align="center">Asian</th>
<th valign="top" align="center">Black</th>
<th valign="top" align="center">Hispanic</th>
<th valign="top" align="center">Multiracial</th>
<th valign="top" align="center">Other</th>
<th valign="top" align="center">White</th>
</tr>
<tr>
<td valign="top" align="left">Children</td>
<td valign="top" align="center">65</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">58</td>
</tr>
<tr>
<td valign="top" align="left">Adolescents</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">52</td>
</tr>
<tr>
<td valign="top" align="left">Adults</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">19</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>Racial and ethnic identity was not reported for three participants.</p>
</table-wrap-foot>
</table-wrap>
<p>A power analysis was conducted using G<sup>&#x0002A;</sup>Power for a dependent samples <italic>t</italic>-test with a power of 0.8 and a medium effect size of 0.5. This analysis suggested that 34 participants were sufficient to detect a significant effect of character race. To ensure we had sufficient representation across the full age range, we recruited participants into smaller cohorts within the child (6&#x02013;7 years, <italic>n</italic> = 34; 8&#x02013;9 years, <italic>n</italic> = 34; 10&#x02013;11 years, <italic>n</italic> = 39) and adolescent (12&#x02013;14 years, <italic>n</italic> = 34; 15&#x02013;17 years; <italic>n</italic> = 34) samples; we included all 49 adults who completed the study for course credit. Subsequent power analyses suggested that the larger sample size was also sufficient to detect significant interactions between Participant Age Group and Character Race. Four additional participants were dropped because they rated all the events positively (see Preliminary Analysis below; <italic>n</italic> = 2) or because they did not complete at least half of the trials (<italic>n</italic> = 2).</p>
</sec>
<sec>
<label>2.2</label>
<title>Procedure</title>
<p>All procedures were approved by the university&#x00027;s Institutional Review Board. Caregivers provided permission for their children and adolescents to participate in the study, and adults provided informed consent; children and adolescents provided verbal assent to participate prior to beginning the study. Caregivers, children, adolescents, and adult participants were debriefed on the goals of the study following their participation.</p>
<p>The procedure was nearly identical for all participants. The only procedural difference between age groups not described below was the testing modality: children completed the study synchronously either in-person or during an online testing session, adolescents completed the study synchronously in-person, and adults completed the study asynchronously during an online testing session. Preliminary analyses on the child participant data (i.e., the only age group in which testing modality varied across participants) showed no significant differences between in-person and online testing (see analyses section), so the data were collapsed for subsequent analyses.</p>
<p>To familiarize them with the scales, participants first completed two practice trials in which they were shown a picture of a small and large dog and asked to rate their niceness, strength, height, and weight using modified scales discussed below (animal silhouettes instead of human silhouettes).</p>
<p>All participants saw a total of eight faces presented one at a time in a randomized order; four faces were of Black male children and the other four faces were White male children (<xref ref-type="fig" rid="F1">Figure 1</xref>). In order to ensure participants would categorize the faces as &#x0201C;Black&#x0201D; and &#x0201C;White,&#x0201D; careful consideration was taken with stimuli creation. First, twenty-four cartoon faces were created using the animation platform Vyond to ensure that all faces were the same size. The same face shape and eyes were used across all faces. Based on previous research that perceivers use cues such as darker skin tone, fuller lips, wider noses, and coarse or curly hair as indicators of Afrocentric features (<xref ref-type="bibr" rid="B8">Blair et al., 2002</xref>; <xref ref-type="bibr" rid="B7">Blair and Judd, 2011</xref>; <xref ref-type="bibr" rid="B30">Maddox et al., 2022</xref>), we manipulated those features in Vyond and Adobe Photoshop to ensure that our stimuli were perceived as part of their racial groups.</p>
<fig position="float" id="F1">
<label>Figure 1</label>
<caption><p>Cartoon faces and the Event Type category they were presented with in Study 1.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fdpys-04-1644795-g0001.tif">
<alt-text content-type="machine-generated">Four pairs of illustrated faces are arranged in a table, each pair representing a different behavior: Physical Contact, Destruction, Social Exclusion, and Theft, with one White and one Black character per pair.</alt-text>
</graphic>
</fig>
<p>The final set of faces were chosen following a preliminary race identification study. The pre-study consisted of thirty-five additional undergraduate students categorizing 12 Black and 12 White cartoon faces. Participants were asked in an open-response format, &#x0201C;Which race is this character?&#x0201D; and &#x0201C;How confident are you in your response? on a Likert scale from 1&#x02013;5.&#x0201D; Four Black and four White faces were chosen based on which faces were categorized as &#x0201C;Black&#x0201D; and &#x0201C;White&#x0201D; most often, and with the highest confidence. The four selected Black cartoon faces were categorized as &#x0201C;Black&#x0201D; with high confidence (<italic>M</italic> = 4.26, 85.1%), and the four selected White cartoon stimuli were categorized as &#x0201C;White&#x0201D; with high confidence (<italic>M</italic> = 3.99, 79.8%).</p>
<p>Each face was presented with a pre-recorded description of a negative event (physical contact, destruction, theft, and social exclusion) involving the displayed character and an unseen character. <xref ref-type="table" rid="T2">Table 2</xref> includes all event descriptions, which were adapted partially from stimuli described in <xref ref-type="bibr" rid="B55">Sagar and Schofield (1980)</xref>, <xref ref-type="bibr" rid="B37">McGlothlin et al. (2005)</xref>, and (<xref ref-type="bibr" rid="B36">McGlothlin and Killen 2010</xref>). The names in the events were chosen at random. Across the study, all names were paired once with both a Black and White faces, thus minimizing any concern that stereotyped associations related to specific names might influence the results.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Descriptions of the events broken down by category.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Event type</th>
<th valign="top" align="left">Descriptions</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Destruction</td>
<td valign="top" align="left">Jonas grabbed Ian&#x00027;s favorite bear he brought in for show and tell, and ripped off the bear&#x00027;s arm.</td>
</tr>
 <tr>
<td/>
<td valign="top" align="left">Frank went over to Edmunds desk, picked up his homework, and ripped it in half.</td>
</tr>
<tr>
<td valign="top" align="left">Physical contact</td>
<td valign="top" align="left">Harry ran over to Gerald and bumped into him, making Gerald drop all of his books.</td>
</tr>
 <tr>
<td/>
<td valign="top" align="left">Landon walked over to Mike and pushed Mike off the swings.</td>
</tr>
<tr>
<td valign="top" align="left">Social exclusion</td>
<td valign="top" align="left">Walden said &#x0201C;There is no room for you&#x0201D; when his classmate Xavier asked if he could sit in an open seat at lunch.</td>
</tr>
 <tr>
<td/>
<td valign="top" align="left">Uriel was picking teams to play soccer at recess. When Vincenzo asked if he could play, Uriel said &#x0201C;No&#x0201D; and told him to &#x0201C;do something else.&#x0201D;</td>
</tr>
<tr>
<td valign="top" align="left">Theft</td>
<td valign="top" align="left">David saw Casey walking through the hallway and saw his iPad dropped out of his backpack. David picked up the iPad and put it in his backpack to take home.</td>
</tr>
 <tr>
<td/>
<td valign="top" align="left">Omar didn&#x00027;t like what he had for lunch, he went over to Kieran, took his sandwich, and ate it in his seat.</td>
</tr></tbody>
</table>
</table-wrap>
<p>After hearing each description, participants responded to the following questions.</p>
<list list-type="simple">
<list-item><p><italic>Meanness:</italic> &#x0201C;How nice or mean was [character&#x00027;s name]?&#x0201D; answered on a visual scale of 1 (very very nice) to 7 (&#x0201C;very very mean&#x0201D;) accompanied by faces with varying degrees of happy and angry expressions.</p></list-item>
<list-item><p><italic>Strength:</italic> &#x0201C;How weak or strong was [character&#x00027;s name]?&#x0201D; answered on a scale of 1 (&#x0201C;very very weak&#x0201D;) to 7 (&#x0201C;very very strong&#x0201D;).</p></list-item>
<list-item><p><italic>Memory check (children and adolescent participants only):</italic> &#x0201C;This is [character name]. Do you remember what [character name] did?&#x0201D; If participants did not remember what the character did, they were reminded.</p></list-item>
<list-item><p><italic>Height</italic>: &#x0201C;How short or tall do you think [character&#x00027;s name] is?&#x0201D; answered on a visual scale of 1&#x02013;5 accompanied by silhouettes of increasing heights (<xref ref-type="fig" rid="F2">Figure 2A</xref>).</p>
</list-item>
<list-item><p><italic>Weight:</italic> &#x0201C;How thin or heavy do you think [character&#x00027;s name] is?&#x0201D; answered on a visual scale of 1&#x02013;5 accompanied by silhouettes of increasing weight (<xref ref-type="fig" rid="F2">Figure 2B</xref>).</p></list-item>
</list>
<fig position="float" id="F2">
<label>Figure 2</label>
<caption><p>Silhouettes used in scales for height and weight ratings. <bold>(A)</bold> displays the height scale and <bold>(B)</bold> displays the weight scale.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fdpys-04-1644795-g0002.tif">
<alt-text content-type="machine-generated">Silhouettes of children are arranged in two rows labeled A and B. Row A shows five front-facing figures increasing in height from left to right. Row B shows five side-profile figures, increasing in weight from left to right.</alt-text>
</graphic>
</fig>
<p>Half of the participants responded to the questions in the order listed above; the remaining participants responded to the <italic>Height</italic> and <italic>Weight</italic> questions first. Preliminary analyses revealed no significant effects of question order (or interactions with character race) on participants&#x00027; responses and are not discussed further below.</p></sec></sec>
<sec sec-type="results" id="s3">
<label>3</label>
<title>Results</title>
<sec>
<label>3.1</label>
<title>Preliminary analysis</title>
<p>We conducted a preliminary analysis on participant gender across ages and strength, height and weight ratings. There were no significant main effects of participant gender, so we did not include it in further analyses. Another preliminary analysis assessed effects of presentation order strength, height, and weight ratings across ages; this analysis did not reveal any significant main effects of presentation order, so it was not included in further analyses. Given we did not have specific recruitment or selection criteria based on participant race, we did not have enough statistical power to assess the potential effects of participant race. Thus, we are unable to make any conclusions or generalizations about how participant race influences the race-based size bias, a point to which we return in the General Discussion.</p>
<p>Although our intent, in line with prior research (<xref ref-type="bibr" rid="B37">McGlothlin et al., 2005</xref>; <xref ref-type="bibr" rid="B35">McGlothlin and Killen, 2006</xref>; <xref ref-type="bibr" rid="B55">Sagar and Schofield, 1980</xref>), was to present participants with mildly negative events, preliminary analysis of the meanness ratings revealed that participants viewed some events as positive interactions, choosing &#x0201C;very, very nice,&#x0201D; &#x0201C;very nice&#x0201D; or &#x0201C;nice&#x0201D; (3 or below) on the meanness scale (child: <italic>N</italic> = 60 trials including all data from one male participant who was run at the museum; adolescent: <italic>N</italic> = 7 trials; adult: <italic>N</italic> = 16 trials including all data from one female participant). To ensure we were assessing participant&#x00027;s representations of the size of actors in negative events, we removed these individual trials from all subsequent analyses. The dropped trials made up less than 5% of the data overall and resulted in 107 (<italic>N</italic> = 41 males) child participants, 68 (<italic>N</italic> = 38 males) adolescent participants, and 47 (<italic>N</italic> = 10 males, 1 non-binary) adult participants analyzed in our final sample.</p>
<p>Finally, we conducted a preliminary analysis on specific Event Type across ratings. Although we recognized there would be variability in responses across these events, we did not predict that Event Type would have a significant impact on ratings. Contrary to that prediction, we found that Event Type did have a significant influence on size ratings across age. As such, we included event type as a fixed factor in all of the following analyses and report those findings below.</p>
</sec>
<sec>
<label>3.2</label>
<title>Overall analysis plan</title>
<p>We conducted linear mixed effects regression models for all the analyses reported below. Unless noted otherwise, all models included Character Race (Black, White) and Event Type (Destruction, Physical Contact, Social Exclusion, Theft) as fixed factors. Participant Age Group was entered as a fixed factor, either at the broad level (Child, Adolescent, Adult) for initial overall models or at the recruitment-based cohort level (Children: 6&#x02013;7 years, 8&#x02013;9 years, 10&#x02013;11 years; Adolescents: 12&#x02013;14 years, 15&#x02013;17 years) for within age group follow-up analyses. All models included random intercepts for participants and random slopes for Event Type and Character Race. We also tested, and retained in the final models, any significant interactions between fixed factors.</p>
</sec>
<sec>
<label>3.3</label>
<title>Strength ratings</title>
<p>Character Race, <italic>F</italic><sub>(1, 243)</sub> = 5.05, <italic>p</italic> = 0.025, <inline-formula><mml:math id="M1"><mml:msubsup><mml:mrow><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 0.02, Participant Age Group, <italic>F</italic><sub>(2, 213)</sub> = 10.52, <italic>p</italic> &#x0003C; 0.0010 <inline-formula><mml:math id="M2"><mml:msubsup><mml:mrow><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 0.09, and Event Type, <italic>F</italic><sub>(3, 337)</sub> = 43.89, <italic>p</italic> &#x0003C; 0.001, <inline-formula><mml:math id="M3"><mml:msubsup><mml:mrow><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 0.28, all significantly predicted participants&#x00027; strength ratings. Black characters (<italic>M</italic> = 4.30, <italic>SD</italic> = 1.29) were rated as significantly stronger than White characters, [<italic>M</italic> = 4.22, <italic>SD</italic> = 1.35; <italic>t</italic><sub>(214)</sub> = 2.25, <italic>p</italic> = 0.025, <italic>d</italic> = 0.31]. Children (<italic>M</italic> = 4.55, <italic>SD</italic> = 1.32) rated characters as stronger overall than adolescents [<italic>M</italic> = 3.97, <italic>SD</italic> = 1.21; <italic>t</italic><sub>(219)</sub> = 4.25, <italic>p</italic> &#x0003C; 0.001, <italic>d</italic> = 0.57] and adults [<italic>M</italic> = 4.06, <italic>SD</italic> = 1.36; <italic>t</italic><sub>(219)</sub> = 3.12, <italic>p</italic> = 0.002, <italic>d</italic> = 0.42], but there was no difference between adolescents and adults&#x00027; strength ratings, <italic>t</italic><sub>(217)</sub> = 0.654, <italic>p</italic> = 0.51. Finally, characters who engaged in physical contact events were significantly stronger (<italic>M</italic> = 4.69, <italic>SD</italic> = 1.28), compared to all other event types (all <italic>p</italic>s &#x0003E;0.05).</p>
<p>These effects were qualified by a significant three-way interaction between Character Race, Participant Age Group, and Event Type, <italic>F</italic><sub>(6, 1041)</sub> = 3.19, <italic>p</italic> = <italic>0</italic>.004, <inline-formula><mml:math id="M4"><mml:msubsup><mml:mrow><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 0.02, as well as two-way interactions between Character Race and Participant Age Group, <italic>F</italic><sub>(1, 243)</sub> = 3.63, <italic>p</italic> = 0.028, <inline-formula><mml:math id="M5"><mml:msubsup><mml:mrow><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 0.01, and Character Race and Event Type, <italic>F</italic><sub>(3, 1041)</sub> = 3.54, <italic>p</italic> = 0.014, <inline-formula><mml:math id="M6"><mml:msubsup><mml:mrow><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 0.01. The Character Race and Event Type <italic>post-hoc</italic> tests revealed that this interaction was driven by the influence of Character Race on strength for social exclusion events. Specifically, Black characters who socially excluded others (<italic>M</italic> = 4.21, <italic>SD</italic> = 1.06) were perceived as stronger than White characters who socially excluded others [<italic>M</italic> = 3.93, <italic>SD</italic> = 1.03; <italic>t</italic><sub>(848)</sub> = 3.84, <italic>p</italic> &#x0003C; 0.001, <italic>d</italic> = 0.26], but there were no significant differences between Black and White characters&#x00027; perceived strength for any other event (all <italic>p</italic>s &#x0003E; 0.05).</p>
<p>To further explore the interactions between Character Race, Participant Age Group, and Event Type, we then fit separate models for each age group, assessing the influence of Character Race and Event Type, along with their interactions, on participants&#x00027; strength ratings. We discuss significant findings from these models, in turn, below.</p>
<p>The model for child participants yielded a significant effect of Event Type, <italic>F</italic><sub>(3, 145.8)</sub> = 23.22, <italic>p</italic> &#x0003C; 0.001, <inline-formula><mml:math id="M7"><mml:msubsup><mml:mrow><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 0.32 (see <xref ref-type="fig" rid="F3">Figure 3</xref>). Children rated characters who engaged in physical events as significantly stronger (<italic>M</italic> = 4.98, <italic>SD</italic> = 1.23) compared to all other event types. Also, characters who destroyed something were perceived as significantly stronger than those who socially excluded, <italic>t</italic><sub>(102)</sub> = 4.22, <italic>p</italic> &#x0003C; 0.001, <italic>d</italic> = 0.84, and stole, <italic>t</italic><sub>(101.5)</sub> = 5.33, <italic>p</italic> &#x0003C; 0.001, <italic>d</italic> = 1.06. However, there were no significant effects of either Character Race, <italic>F</italic><sub>(1, 112.2)</sub> = 0.539, <italic>p</italic> = 0.464. or Age Cohort, <italic>F</italic><sub>(2, 97.9)</sub> = 2.07, <italic>p</italic> = 0.132, on participants&#x00027; strength ratings. There were also no significant interactions between the factors, so they were removed from the model.</p>
<fig position="float" id="F3">
<label>Figure 3</label>
<caption><p>Child strength ratings. Axis is zoomed in to highlight condition differences.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fdpys-04-1644795-g0003.tif">
<alt-text content-type="machine-generated">Bar chart titled &#x0201C;Child Strength Ratings&#x0201D; comparing average strength ratings of Black and White characters across four categories: Physical Contact, Destruction, Social Exclusion, and Theft. Physical Contact events were rated as significantly stronger than all other events. The strength ratings for the Black and White characters did not differ; error bars represent variability.</alt-text>
</graphic>
</fig>
<p>In contrast to the child participants, the adolescent participants yielded significant effects of Character Race, <italic>F</italic><sub>(1, 74.7)</sub> = 6.85, <italic>p</italic> = 0.011, <inline-formula><mml:math id="M8"><mml:msubsup><mml:mrow><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 0.08, and Event Type, <italic>F</italic><sub>(3, 100.2)</sub> = 22.81, <italic>p</italic> &#x0003C; 0.001, <inline-formula><mml:math id="M9"><mml:msubsup><mml:mrow><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 0.41 (see <xref ref-type="fig" rid="F4">Figure 4</xref>). Participants rated Black characters as stronger (<italic>M</italic> = 4.07, <italic>SD</italic> = 1.18) than White characters (<italic>M</italic> = 3.87, <italic>SD</italic> = 1.23). Adolescents rated characters who engaged in physical contact events as stronger than all other event types. Those who engaged in destruction, <italic>t</italic><sub>(66.9)</sub> = 6.16, <italic>p</italic> &#x0003C; 0.001, <italic>d</italic> = 1.5, and social exclusion, <italic>t</italic><sub>(66.9)</sub> = 4.27, <italic>p</italic> &#x0003C; 0.001, <italic>d</italic> = 1.04, were stronger than characters who engaged in stealing. Similar to the child participants, this model yielded no significant effects of Age Cohort, <italic>F</italic><sub>(1, 82.6)</sub> = 1.27, <italic>p</italic> = 0.264, on participants&#x00027; strength ratings. There were no significant interactions between any factors in this model, so they were removed.</p>
<fig position="float" id="F4">
<label>Figure 4</label>
<caption><p>Adolescent strength ratings. Axis is zoomed in to highlight condition differences.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fdpys-04-1644795-g0004.tif">
<alt-text content-type="machine-generated">Bar chart comparing adolescent strength ratings of four behaviors: physical contact, destruction, social exclusion, and theft, by Black and White individuals. Ratings for physical contact and destruction are higher than social exclusion and theft for both groups. Black ratings are consistently higher than White across all behaviors. Error bars indicate variability in responses.</alt-text>
</graphic>
</fig>
<p>For the adult participants, we again conducted a similar model described above, except Age was not entered as a fixed factor. We found that Character Race, <italic>F</italic><sub>(1, 70.2)</sub> = 4.24, <italic>p</italic> = 0.043, <inline-formula><mml:math id="M10"><mml:msubsup><mml:mrow><mml:mtext>n</mml:mtext></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 0.06, and Event Type, <italic>F</italic><sub>(3, 70.6)</sub> = 7.57, <italic>p</italic> &#x0003C; 0.001, <inline-formula><mml:math id="M11"><mml:msubsup><mml:mrow><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 0.24, both significantly predicted participants&#x00027; strength ratings (see <xref ref-type="fig" rid="F5">Figure 5</xref>). Adults rated Black characters as stronger (<italic>M</italic> = 4.17, <italic>SD</italic> = 1.29) than White characters (<italic>M</italic> = 3.94, <italic>SD</italic> = 1.41). Adults also rated characters who performed in physical contact events as stronger (<italic>M</italic> = 4.49, <italic>SD</italic> = 1.41) compared to destruction [<italic>M</italic> = 4.13, <italic>SD</italic> = 1.35; <italic>t</italic><sub>(47.8)</sub> = 2.44, <italic>p</italic> = 0.019, <italic>d</italic> = 0.71], theft [<italic>M</italic> = 3.69, <italic>SD</italic> = 1.33; <italic>t</italic><sub>(47.4)</sub> = 4.61, <italic>p</italic> &#x0003C; 0.001, <italic>d</italic> = 1.34] and social exclusion [<italic>M</italic> = 3.91, <italic>SD</italic> = 1.23; <italic>t</italic><sub>(47.7)</sub> = 3.55, <italic>p</italic> &#x0003C; 0.001, <italic>d</italic> = 1.03] events. Finally, these effects were qualified by a significant interaction between Character Race and Event Type, <italic>F</italic><sub>(3, 234.3)</sub> = 6.15, <italic>p</italic> = 0.001, <inline-formula><mml:math id="M12"><mml:msubsup><mml:mrow><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 0.07. <italic>Post-hoc</italic> tests revealed that this interaction was driven by the influence of Character Race on strength for social exclusion events. Specifically, Black characters who socially excluded others (<italic>M</italic> = 4.38, <italic>SD</italic> = 1.11) were perceived as stronger than White characters who socially excluded others [<italic>M</italic> = 3.44, <italic>SD</italic> = 1.17, <italic>t</italic><sub>(78.2)</sub> = 4.49, <italic>p</italic> &#x0003C; 0.001, <italic>d</italic> = 1.01]. There were no significant differences between Black and White characters&#x00027; perceived strength for any other event (all <italic>p</italic>s &#x0003E; 0.05). While descriptively it appears that White characters were rated to be stronger than Black characters for theft events and physical contact, these differences were not statistically significant [respectively, <italic>t</italic><sub>(188.1)</sub> = 0.48, <italic>p</italic> = 0.63, <italic>t</italic><sub>(188.1)</sub> = 1.16, <italic>p</italic> = 0.25].</p>
<fig position="float" id="F5">
<label>Figure 5</label>
<caption><p>Adult strength ratings. Axis is zoomed in to highlight condition differences.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fdpys-04-1644795-g0005.tif">
<alt-text content-type="machine-generated">Bar chart titled Adult Strength Ratings showing mean ratings with error bars for four actions: Physical Contact, Destruction, Social Exclusion, and Theft, comparing Black (black bars) and White (gray bars) adults. Physical Contact and Destruction are rated similarly for both groups, while Social Exclusion ratings are higher for Black adults. Theft ratings are lowest overall, with White adults rated slightly higher than Black adults.</alt-text>
</graphic>
</fig>
<p>Although these findings suggest there are age-related differences in the presence of a race-based strength bias across development, we also recognize that testing modality varied across age groups (i.e., child participants: synchronously online or in-person; adolescent participants: in-person; adult participants: asynchronously online). Therefore, we ran an additional analysis to address concerns that testing modality may have influenced the results described above. Given testing modality was constant in the adolescent and adult samples, we could assess for potential effects of testing modality only in the child participant sample. In this analysis, we added Modality to our Strength model discussed above. Importantly, this model yielded no main effect of Modality, <italic>F</italic><sub>(1, 98.5)</sub> = 0.324, <italic>p</italic> = 0.57, no significant interactions between Modality and our other variables (all <italic>p</italic>s &#x0003E; 0.05), and no changes to the model&#x00027;s overall statistical significance. Thus, we do not think that testing modality can explain the age-related differences described above.</p>
</sec>
<sec>
<label>3.4</label>
<title>Height ratings</title>
<p>Event Type, <italic>F</italic><sub>(3, 279)</sub> = 3.5, <italic>p</italic> = 0.016, <inline-formula><mml:math id="M13"><mml:msubsup><mml:mrow><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 0.04, significantly predicted participants&#x00027; height ratings, but Character Race, <italic>F</italic><sub>(1, 237)</sub> = 0.014, <italic>p</italic> = 0.906, and Participant Age Group, <italic>F</italic><sub>(2, 215)</sub> = 0.184, <italic>p</italic> = 0.832, did not. Participants&#x00027; rated characters who engaged in physical contact events as physically taller (<italic>M</italic> = 3.46, <italic>SD</italic> = 1.03), compared to destruction [<italic>M</italic> = 3.27, <italic>SD</italic> = 1.04; <italic>t</italic><sub>(220)</sub> = 2.92, <italic>p</italic> = 0.004, <italic>d</italic> = 0.39], and theft [<italic>M</italic> = 3.3, <italic>SD</italic> = 0.99; <italic>t</italic><sub>(217)</sub> = 2.62, <italic>p</italic> = 0.01, <inline-formula><mml:math id="M14"><mml:msubsup><mml:mrow><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 0.36]. There were no significant interactions, so they were removed from the model. Given there were no significant effects of Participant Age Group, and no interaction between Participant Age Group and the other fixed factors, we do not report follow-up analyses within age groups.</p>
</sec>
<sec>
<label>3.5</label>
<title>Weight ratings</title>
<p>Event Type, <italic>F</italic><sub>(3, 415)</sub> = 13.37, <italic>p</italic> &#x0003C; 0.001, <inline-formula><mml:math id="M15"><mml:msubsup><mml:mrow><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 0.09, significantly predicted participants&#x00027; weight ratings, but Character Race, <italic>F</italic><sub>(1, 354)</sub> = 1.93, <italic>p</italic> = 0.17, and Participant Age Group, <italic>F</italic>(2, 216) = 0.656, <italic>p</italic> = 0.520, did not. Using social exclusion as the reference category, <italic>post-hoc</italic> tests revealed that characters who engaged in social exclusion (<italic>M</italic> = 2.25, <italic>SD</italic> = 1.01) events were significantly <italic>thinner</italic> than those who engaged in physical contact [<italic>M</italic> = 2.5, <italic>SD</italic> = 1.04; <italic>t</italic>(213) = 4.66, <italic>p</italic> &#x0003C; .001, <italic>d</italic> = 0.64], destruction [<italic>M</italic> = 2.38, <italic>SD</italic> = 1; <italic>t</italic><sub>(213)</sub> = 2.74, <italic>p</italic> = 0.007, <italic>d</italic> = 0.37] and theft [<italic>M</italic> = 2.54, <italic>SD</italic> = 1.11; <italic>t</italic><sub>(211)</sub> = 5.85, <italic>p</italic> &#x0003C; 0.001, <italic>d</italic> = 0.8] events.</p>
<p>These effects were all qualified by a significant interaction between Participant Age Group and Event Type, <italic>F</italic><sub>(6, 415)</sub> = 2.15, <italic>p</italic> = 0.047, <inline-formula><mml:math id="M16"><mml:msubsup><mml:mrow><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mtext>p</mml:mtext></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msubsup></mml:math></inline-formula> = 0.03. <italic>Post-hoc</italic> tests revealed adolescents and adults had significant effects of Event Type on weight ratings using social exclusion as the reference category, but children did not. Adolescents perceived characters who engaged in social exclusion (<italic>M</italic> = 2.16, <italic>SD</italic> = 0.93) as <italic>thinner</italic> than those who engaged in all other event types (physical contact: <italic>M</italic> = 2.53, <italic>SD</italic> = 0.99, destruction: <italic>M</italic> = 2.44, <italic>SD</italic> = 0.90, theft: <italic>M</italic> = 2.65, <italic>SD</italic> = 1.03; all <italic>p</italic>s &#x0003E;.05). Adults perceived characters who engaged in social exclusion (<italic>M</italic> = 2.2, <italic>SD</italic> = 0.94) as <italic>thinner</italic> than those who engaged in physical contact [<italic>M</italic> = 2.6, <italic>SD</italic> = 1.01, <italic>t</italic><sub>(212)</sub> = 3.07, <italic>p</italic> = 0.002, <italic>d</italic> = 0.42] and theft [<italic>M</italic> = 2.69, <italic>SD</italic> = 1.19; <italic>t</italic><sub>(212)</sub> = 3.99, <italic>p</italic> &#x0003C; 0.001, <italic>d</italic> = 0.55] events, but not destruction events [<italic>M</italic> = 2.44, <italic>SD</italic> = 1.06; <italic>t</italic><sub>(212)</sub> = 1.88, <italic>p</italic> = 0.06, <italic>d</italic> = 0.26]. Given there were no significant effects of Participant Age Group, and no interaction between Participant Age Group and the other fixed factors, we do not report follow-up analyses within age groups.</p></sec></sec>
<sec sec-type="discussion" id="s4">
<label>4</label>
<title>Discussion</title>
<p>The current study aimed to investigate the presence of a race-based size bias across childhood to early adulthood. We presented children, adolescents, and college students with Black and White male characters engaging in negative events and had them rate the character&#x00027;s height, weight, and strength. Although we did not find consistent evidence for ratings of height and weight, we did find evidence for age-related differences in ratings of strength. We found that (1) event type, but not race, influenced children&#x00027;s strength ratings, (2) race and event type independently influenced adolescents&#x00027; strength ratings, and (3) the influence of race on adults&#x00027; strength ratings varied by event. The findings suggest that a racial bias related to physical strength operates differently across development. Although children represent both race and physical size, these representations are not associated with each other similar to the race-based size biases seen in adults. Rather, children may initially form associations between only physical strength and only specific kinds of events, incorporating representations of race into these associations later in development as they begin to enter adolescence.</p>
<p>Although the current study did not investigate the specific factors that explain how this bias may emerge over development, characterizing its presence at different ages is an important first step and motivates more targeted research on the developmental changes identified in the current study. For instance, social-cognitive developmental research suggests that children&#x00027;s representations of social status play a particularly important role in children&#x00027;s developing representations of social groups (<xref ref-type="bibr" rid="B5">Baron et al., 2016</xref>; <xref ref-type="bibr" rid="B16">Dunham et al., 2008</xref>; <xref ref-type="bibr" rid="B33">Mandalaywala et al., 2020</xref>; <xref ref-type="bibr" rid="B51">Rhodes and Baron, 2019</xref>; <xref ref-type="bibr" rid="B52">Rhodes and Mandalaywala, 2017</xref>). Yet, the findings from the current study suggest that a race-based strength bias might not follow immediately from social status representations; although research has shown that children can reason about social status at the youngest ages tested in the current study, a race-based strength bias did not emerge in the current study until adolescence.</p>
<p>One alternative possibility is that a race-based strength bias is linked to awareness of the specific stereotype that Black men are large. Given research showing that endorsement and knowledge of stereotypes increase with age (<xref ref-type="bibr" rid="B11">Copping et al., 2013</xref>; <xref ref-type="bibr" rid="B18">Evans et al., 2011</xref>; <xref ref-type="bibr" rid="B41">Okeke et al., 2009</xref>; <xref ref-type="bibr" rid="B53">Rowley et al., 2007</xref>; <xref ref-type="bibr" rid="B56">Sherman et al., 2013</xref>; <xref ref-type="bibr" rid="B57">Sierksma et al., 2022</xref>), the current findings might similarly support conclusions that individuals do not become aware of the stereotypes needed to support a race-based strength bias until adolescence. Another possibility, not mutually exclusive from the first, is that exposure to media that present stereotyped characters might be tied to the onset of a race-based strength bias (<xref ref-type="bibr" rid="B17">Ellithorpe and Bleakley, 2016</xref>). Finally, it is possible that the ability to represent both environmental context and character race equally &#x02013; as well as to integrate those representations &#x02013; improves with age, leading to the age-related onset of the race-based strength bias seen in the current study. The current findings suggest that investigating how a race-based strength bias may be related to changes in other social cognitive mechanisms or changes in environmental contexts in childhood and early adolescence is an important area for future research.</p>
<p>We also found that event context significantly influenced participants&#x00027; rating across development: characters who engaged in physical events were perceived as stronger than those in social events. This may seem intuitive, as engaging in physical actions (e.g., pushing someone) may require physical strength, whereas socially excluding others does not. Yet, the adult strength results also show an important interaction where Black characters who engaged in social events were rated as stronger than White characters who engaged in social events, but the same was not true for physical events. Although not statistically significant, the adolescent data showed a similar descriptive pattern. We believe this may be due to the potential ambiguity provided by a social event. In a physical event in which someone is pushed to the ground, the actor is clearly strong and mean. However, in a social event, participants may be more likely to think about other potential situational factors (e.g., saving the seat for someone else), and provide a situational explanation for White characters more than for Black characters; conversely, participants may be more likely to provide a personal attribution for Black characters over White characters. In short, the ambiguity present in social events may have provided conceptual space for racial biases to emerge. We also note that while we aimed to only investigate participant&#x00027;s perceptions of negative events, about 5% of the trials were perceived positively by participants. Although this subset of data was too small to assess in the current study, it does raise important questions about how the valance of an event, as well as the degree to which participants rate such valence, influence their representations of physical strength. Given we did not make any a priori predictions related to valence or event type, these are merely speculative interpretations of the data and motivate further studies to explore these questions.</p>
<p>Although we found evidence for the presence of a race-based strength bias starting in adolescence, we did not find a similar bias at any age in height or weight judgments. We believe that there may be both methodological and conceptual explanations for these differences. Although some prior studies on adult participants have found evidence of a race-based size bias using height and weight judgments (e.g., <xref ref-type="bibr" rid="B64">Wilson et al., 2017</xref>), there is at least one instance of a race-based size bias emerging only for strength judgments (<xref ref-type="bibr" rid="B27">Johnson and Wilson, 2019</xref>). The current findings similarly suggest that a race-based size bias may be associated more closely with physical strength than height and weight. Given the inconsistent nature of the height and weight ratings for this bias, we believe that the strength bias may be the most robust amongst the different size variables.</p>
<p>It is also possible that the use of Likert scales may have masked the presence of a race-based strength bias in children. Other prior research has explored adults&#x00027; perceptions of real adult and adolescent faces, rather than cartoon child faces, and has used slider scales or estimates of height and weight (<xref ref-type="bibr" rid="B19">Freiburger et al., 2023</xref>; <xref ref-type="bibr" rid="B27">Johnson and Wilson, 2019</xref>). We based our measurement choice on (1) knowledge that prior research with adults has used both self-reported or continuous scales and (2) the assumption that the emergence of a race-based size bias is conceptually tied to developmental changes in children&#x00027;s knowledge about physical size. Although how one defines strength (i.e., what counts as stronger vs. weaker), for example, likely changes over development, we assumed that children would still be capable of reporting general differences in strength. Similarly, children may not know how specific height and weight metrics make someone tall or heavy, we assumed they could report relative differences. Nonetheless, future research may employ different kinds of measurements to characterize how they relate to each other as well as change across development. It is possible that children may be more likely to display a race-based strength bias when making forced choice decisions (e.g., who is stronger/taller/heavier?).</p>
<p>We also acknowledge that participants made size judgments for child characters rather than adult characters. Given we were interested in the presence of this bias across development, we opted to use child cartoon characters in this study to increase the likelihood that children had sufficient knowledge to inform their ratings of physical size and to allow us to control the physical size of the characters across trials. However, as noted above, representations of physical size certainly differ based both on the age of the character as well as the age of the participants. Future studies may wish to assess whether race-based size biases emerge differently based on the age of the characters for these judgments. The developmental trajectories for a race-based size bias for child characters may differ from a bias for adolescent or adult characters.</p>
<p>Additionally, we understand that the difference in testing modality across age groups may be a confound in the current study. While children were tested on-line and in person, adolescents were tested only in person, and adults were tested only online. Given that our follow-up analyses did not reveal any significant differences between testing modalities in our child participants &#x02013; the only group that had been tested with multiple modalities &#x02013; we do not believe that testing modality can explain the age-related differences found in the current study. Instead, we believe the range of developmental factors discussed above are likely to better explain the current findings. Yet, future studies may still aim to keep testing modality constant across age groups.</p>
<p>Although our overall sample was racially diverse, it is important to acknowledge that we did not recruit enough participants across racial groups to assess for how participant&#x00027;s race may influence their representations of height, weight, and strength. Understanding whether and how these biases differ across participants&#x00027; racial backgrounds is an important research question. For instance, as noted in the Introduction, <xref ref-type="bibr" rid="B64">Wilson et al. (2017)</xref> showed that while both Black and White adults exhibited a race-based <italic>strength</italic> bias, Black adults did not similarly represent Black characters as more threatening. Although we have used generic language to describe our findings, we acknowledge that a complete explanation of how a race-based strength bias emerges in individuals across development will also need to consider whether, when, and how such biases may differ across individuals from different racial backgrounds.</p>
<p>Finally, while the current findings suggest that there may be important social-cognitive or environmental factors that contribute to change in a race-based strength bias between childhood and adulthood, we are unable to make specific recommendations for educational or psychological intervention. Instead, this study should be considered an initial investigation of how a race-based strength bias begins to emerge across development. Following additional research investigating how social, cognitive, and environmental factors influence this bias at different ages, as discussed above, future research may then focus on designing and implementing psychological or educational interventions that may mitigate this bias across development.</p>
<p>In summary, this study represents an initial investigation into the presence of a race-based size bias across childhood to young adulthood. The findings suggest that although children represent race and physical size early in development, and form negative attitudes about out-groups early in development, these representations do not automatically result in a race-based size bias seen in adulthood. Rather, our findings suggest that children&#x00027;s representations of physical size may initially be focused on representations of strength and tied more closely to specific kinds of events, only later becoming similar to the racial biases seen in adults. Future studies characterizing the development of this bias, as well as the factors that explain its potential emergence, will be important areas of future research.</p></sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="s6">
<title>Ethics statement</title>
<p>The studies involving humans were approved by he ethics board at Tufts University. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x00027; legal guardians/next of kin.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>JW: Conceptualization, Data curation, Formal analysis, Investigation, Methodolgy, Visualization, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. PM: Supervision, Conceptualization, Writing &#x02013; review &#x00026; editing, Writing &#x02013; original draft, Methodology, Project administration.</p>
</sec>
<ack><title>Acknowledgments</title><p>This research was partially funded by the Tufts University Graduate Student Research Competition award to JW. Portions of this paper were adapted from JW&#x00027;s doctoral dissertation, which is available via ProQuest (<xref ref-type="bibr" rid="B62">Wefferling, 2025</xref>).</p>
</ack>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The author(s) declared that this work 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="ai-statement" id="s9">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/640164/overview">Deniz Tahiroglu</ext-link>, Istanbul Bilgi University, T&#x000FC;rkiye</p>
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<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1689454/overview">David S. March</ext-link>, Florida State University, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3028703/overview">Katharine Suma</ext-link>, University of Georgia, United States</p>
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