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Accessibility of Gender Stereotype Domains: Developmental and Gender Differences in Children

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The present research examined developmental and gender differences in the relative accessibility of different gender stereotype domains. A 1988 Northeastern US sample of 256 children ages 3 to 10 years old provided open-ended descriptions of girls and boys. Responses were coded by domain to examine differences by grade, gender of participant, and gender of target. Analyses revealed that girls and older children provided a higher proportion of stereotypes, and that appearance stereotypes were particularly prevalent in descriptions of girls and activity/trait stereotypes were more prevalent in descriptions of boys. Results are discussed in terms of implications for research on the stereotype knowledge-behavior link and the need for more attention to the role of appearance stereotypes in the gender stereotype literature.
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Accessibility of Gender Stereotype Domains: Developmental and
Gender Differences in Children
Cindy Faith Miller, Leah E. Lurye, Kristina M. Zosuls, and Diane N. Ruble
New York University, New York, NY, USA
Abstract
The present research examined developmental and gender differences in the relative accessibility of
different gender stereotype domains. A 1988 Northeastern US sample of 256 children ages 3 to 10
years old provided open-ended descriptions of girls and boys. Responses were coded by domain to
examine differences by grade, gender of participant, and gender of target. Analyses revealed that
girls and older children provided a higher proportion of stereotypes, and that appearance stereotypes
were particularly prevalent in descriptions of girls and activity/trait stereotypes were more prevalent
in descriptions of boys. Results are discussed in terms of implications for research on the stereotype
knowledge–behavior link and the need for more attention to the role of appearance stereotypes in
the gender stereotype literature.
Keywords
Stereotype domains; Gender stereotypes; Stereotype accessibility; Gender differences
Introduction
From birth, children are surrounded by information that communicates the beliefs and
behaviors that are considered appropriate for each gender group. It is, therefore, not surprising
that they amass a fair amount of gender stereotype knowledge early in life (see Martin et al.
2002 for a review). In fact, recent research suggests that even before 30 months of age, some
children understand concrete gender stereotypes, such as toys associated with girls and boys
(e.g., dolls and cars; Ruble et al. 2006). Further, studies have documented that stereotype
knowledge of activities and occupations increases rapidly between 3 and 5 years (see Ruble et
al. 2006 for a review). Taken together, the typical 5 year old child knows a range of gender
stereotypes and tends to endorse these stereotypes in a rigid and absolute manner until about
7 years of age (e.g., Ruble et al. 2006; Trautner et al. 2005).
Our understanding of the developmental course of gender stereotype knowledge is generally
drawn from studies that have asked children to verbally match or sort pictures of items into
gender categories (see Ruble and Martin 1998 and Signorella et al. 1993 for reviews). In these
studies, children who successfully match a stereotyped item (e.g., doll) with the associated
gender category (e.g., girl) are considered knowledgeable of the stereotype. This research
suggests that gender stereotypes are comprised of multiple domains and that children learn
stereotypes within certain domains (e.g., activities and toys) before mastering stereotypes
within other domains (e.g., traits).
© Springer Science + Business Media, LLC 2009
School of Social and Family Dynamics, Arizona State University, Tempe, AZ 85287-3701, USA, e-mail: E-mail: cfm208@nyu.edu.
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Published in final edited form as:
Sex Roles. 2009 June ; 60(11-12): 870–881. doi:10.1007/s11199-009-9584-x.
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Traditionally, early gender stereotype measures for children generally included only one
domain in their list of items. For instance, the Sex Stereotype Measure (Williams et al. 1975)
assesses children’s knowledge of trait gender stereotypes (e.g., gentle, aggressive), whereas
the Sex Role Learning Inventory (SERLI; Edelbrock and Sugawara 1978) includes only object
and activity items (e.g., baby bottles, hammers). Despite their initial popularity, the results
derived from these measures provide a very limited understanding of children’s knowledge of
stereotypes. For instance, a researcher might conclude that preschoolers have poor knowledge
based on the Sex Stereotype Measure, but well-developed knowledge based on the SERLI.
Therefore, measures that contain multiple stereotype domains are essential for achieving a
better understanding of which stereotypes are prominent in children’s conceptions of girls and
boys at different ages.
More recently, researchers have recognized the importance of assessing multiple domains (e.g.,
clothing, activities, occupations, traits) when studying the development of gender constructs
(e.g., Campbell et al. 2002; Etaugh and Liss 1992; Liben and Bigler 2002; Martin et al.
1990). This approach advances earlier measures by allowing researchers to examine domain-
specific trends and comparisons within the same study. For instance, multi-domain measures
make it possible for researchers to examine if knowledge in one domain is associated with
knowledge in another domain and if gender and cultural differences are domain-specific.
Moreover, researchers can now reliably explore if knowledge within certain domains (e.g.,
activity and toys) predicts children’s behaviors in those domains (e.g., toy preferences). These
types of domain-specific analyses are essential for a comprehensive and accurate picture of
gender development.
Yet, what is still missing from this domain-focused research is an understanding of how
children spontaneously represent gender and which stereotype domains figure most
prominently in their gender concepts. Namely, previous measures have relied on experimenter-
provided domains to assess children’s knowledge of gender stereotypes. While this approach
assesses children’s developing knowledge of particular domains, this research has not explored
whether certain domains are more important to children than other domains and if this depends
on age, gender, or context. For instance, results from some studies examining reactions to
gender deviance show that children consider violations of gender appearance to be especially
serious, particularly for boys (Blakemore 2003; Smetana 1986; Stoddart and Turiel 1985). This
implies that although children may know many different gender stereotypes, stereotypes within
certain domains may be more influential than others. Although this differential impact of
gender stereotype domains may occur for a variety of reasons, one possible explanation
concerns the extent to which certain stereotype domains are not only available, but easily
activated, in memory.
The purpose of the present research was to assess which stereotype domains come to mind
most readily when children are asked to think about gender. Unlike close-ended methods
previously used to measure children’s gender stereotype knowledge, the present study used
open-ended questions to ask children what they know about girls and boys. We measured
gender stereotype knowledge in this way for two reasons. First, this method allowed us to
examine gender stereotype knowledge as a multidimensional construct (Eckes and Trautner
2000; Huston 1983; Miller et al. 2006; Ruble et al. 2006). That is, by grouping open-ended
responses by domains (e.g., activities/toys, appearance, traits), we were able to explore whether
different stereotype domains contribute to children’s concepts of girls and boys and examine
the potential for gender and developmental differences in stereotype domains. Second, this
methodology allowed us to examine target differences in the stereotype domains most easily
brought to mind, or activated, when children think about gender.
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This idea of stereotype activation, as distinct from stereotype knowledge, is consistent with
theories in social psychology that distinguish between the availability and accessibility of
constructs in memory. Availability refers to whether or not a construct is stored or present in
memory, while accessibility is defined as the readiness with which it is retrieved (Higgins
1996; Higgins and King 1981; Higgins and Wells 1986). Thus, having knowledge of gender
stereotypes within a certain domain is distinct from the likelihood that it will be retrieved from
memory. This distinction is hardly trivial as construct accessibility has been found to influence
social judgments and behaviors (Fazio 1990; Higgins 1996).
In previous research, the distinction between availability and accessibility has been linked to
the difference between cued recall and free recall (Higgins 1996; Higgins and Bargh 1987;
Tulving and Pearlstone 1966). According to this view, available information can be retrieved
under cued recall conditions, but not necessarily free recall conditions unless the information
is also accessible. This distinction is analogous to the difference between the methodology
used in the present study and previous measures used to assess gender stereotype knowledge.
Earlier work has focused on whether children have knowledge available in memory through
cued recall measures (e.g., “Which child likes the doll?”) whereas the present study used a free
recall procedure to elicit the domains that are most accessible in children’s available knowledge
(e.g., “Tell me what you know about girls?”). In fact, we measured accessibility using two
different free recall methods based on procedures used with adults (Higgins and Brendl
1995; Higgins et al. 1982).
To the best of our knowledge, no study to date has examined accessibility differences of gender
stereotype domains in young children. While studies examining children’s emerging gender
stereotypes are abundant, they often overlook the possibility that different stereotype domains
may be differentially accessible and, instead, primarily rely on children’s responses to
experimenter provided options. This approach, although ubiquitous, provides only a limited
understanding of how children think about gender. Therefore, it remains unclear to what extent
children’s responses to standard gender stereotype knowledge measures reflect the structure
of their spontaneous representations of gender. Research with adults shows that gender
stereotypes consist of multiple domains (e.g., traits, appearance, occupations, and role
behaviors) that function relatively independently of each other and vary in the strength of their
influence on social judgments (Deaux and Lewis 1984; Six and Eckes 1991). Children’s gender
concepts may be similarly differentiated in structure, which could have important implications
for how we understand gender stereotype development in children.
For instance, it has been widely assumed among developmental researchers that boys have
more stereotypical preferences than girls. The evidence for this conclusion is based on research
using preference measures that rely heavily on stereotypes about toys, objects, and activities
(Ruble and Martin 1998). However, the conclusion that boys show stronger stereotypical
preferences than girls may be misleading because children’s conceptions of boys may be
structured such that activities and toys are particularly important. Therefore, boys may endorse
stronger gender stereotypical preferences than girls, but only in the domain of activities and
toys. Consistent with this idea, emerging evidence suggests that many girls gravitate toward
pink, frilly dresses at a very young age (Ruble et al. 2007). Thus, it remains plausible that girls
may show stronger gendered-typed preferences than boys in other domains (e.g., appearance).
Differences in the accessibility of gender stereotype domains may also have important
implications for a debate surrounding gender schema theory, which emphasizes the influential
role of gender stereotype knowledge on behavior (Martin et al. 2002). Questions have been
raised regarding the validity of gender schema theory (Bussey and Bandura 1999; Bandura and
Bussey 2004) because evidence supporting the stereotype knowledge–behavior link has been
mixed (Miller et al. 2006). However, very few studies have addressed this issue with a high
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degree of specificity. Such specificity is necessary when investigating the relationship between
children’s knowledge of stereotype domains and the likelihood that they will engage in the
particular behaviors within those domains (Martin et al. 2002).
Present Study
The goal of the present study was to examine which gender stereotype domains emerged from
children’s descriptions of girls and boys and to assess differences in the accessibility of various
domains. Children’s accessible stereotypes were elicited by asking 3 to 10 year olds to provide
open-ended descriptions of girls and boys. As described earlier, children begin to demonstrate
knowledge of gender stereotypes by about age 3 and show a dramatic increase in the number
and range of stereotypes that they learn throughout elementary school (Ruble et al. 2006). Thus,
the age groups targeted in the present study, which ranged from pre-schoolers to fifth graders,
were ideal for examining developmental differences in the accessibility of children’s gender
stereotype domains. Moreover, theoretical predictions have proposed that children think
differently about same-gender and opposite-gender targets. In particular, gender schema theory
posits that children are motivated to seek out, attend to, and remember more same-gender
compared to opposite-gender information (Bem 1981; Martin and Halverson 1981). Gender
was, therefore, included as a participant and target variable in the present design to examine
this prediction as well as to explore potential domain differences when children spoke about
girls compared to boys.
Research Questions
Gender stereotype domains—The present study was specifically designed to investigate
three research questions regarding the domains of children’s stereotypes: (1) Are there domain
differences in the stereotypes children use when describing girl versus boy targets (e.g., is
appearance used more frequently when describing girls than when describing boys)? (2) Are
there gender differences in the use of certain stereotype domains when children describe girls
and boys? (e.g., do girls use more appearance stereotypes than boys?) (3) Are there age
differences in the use of certain stereotype domains when children describe girls and boys (e.g.,
do older children use trait stereotypes more than younger children when describing girls and
boys)? Given the paucity of research in this area, we did not develop specific predictions for
the first two questions addressing differences in stereotype domain based on target gender and
participant gender. However, for the third question, we expected that older children would have
a higher frequency of trait stereotypes in their statements compared to younger children. This
hypothesis was based on research on the development of children’s categorization schemes,
which shows that children progress from using concrete attributes (e.g., appearance, activity)
to traits and internal motivations (e.g., sensitive, affectionate) to describe targets (Livesly and
Bromley 1973; Rholes et al. 1990; Ruble and Dweck 1995).
Quantity of gender stereotypes—While the primary goal of the present study was to
examine stereotype domain differences in children’s statements, our data also allowed us to
explore some secondary predictions about the number of stereotypes that were included in
children’s statements. In particular, we examined differences in the quantity of stereotypes,
regardless of domain, that children produced as a function of target gender, participant gender,
and age. Analyses were conducted to test three predictions: (1) Consistent with gender schema
theories (Bem 1981;Martin and Halverson 1981), we expected that children’s same-gender
descriptions would contain a higher proportion of gender stereotypes compared to other-gender
descriptions. (2) Based on research suggesting that girls possess more stereotype knowledge
than boys (Signorella et al. 1993;O’Brien et al. 2000;Serbin et al. 2001, experiment 2), we
expected that girls’ statements would contain a greater number of gender stereotypes compared
to boys. (3) Given that older children generally have knowledge of a greater number of
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stereotypes (Ruble et al. 2006), we predicted that the statements provided by older children
would contain more gender stereotypes compared to those of younger children.
Method
Participants
A total of 256 predominantly White, middle-class children from suburban public schools in
the Northeastern US participated in this study. The sample included 69 pre-schoolers (M=4.17
years), 31 kindergarteners (M= 5.33 years), 87 first graders (M=6.34 years), and 69 fourth and
fifth graders (M=9.82 years). There were approximately equal numbers of girls and boys in
each group.
Interviewing Procedure
The present research was part of a larger 3-year longitudinal study on children’s cognitive,
social, and gender development conducted from 1988 to 1991. The present analyses focus on
children’s responses to an open-ended gender knowledge measure we term the Gender
Accessibility Measure (GAM) administered in the first year of the study. Children were
interviewed outside of their classrooms by female interviewers and given a small prize at the
end of each session.
Measure
The GAM includes two open-ended questions that ask participants to name qualities girls and
boys possess. The first question states, “I bet you know a lot about girls. Tell me what you
know about girls. Describe them.” The second question states, “You probably know a lot about
boys. Tell me about boys. Describe them.” The order of the questions was held constant for
all children. The interviewers recorded children’s responses verbatim.
Coding Procedure and Reliability
Prior research on gender stereotype domains guided the development of the coding scheme
that was used to categorize children’s responses. For instance, the gender development matrix
based initially on Huston (1983) and subsequently expanded by Ruble et al. (2006) contains
the following content domains: biological/categorical sex, activities/toys, personal/social
attributes, social relationships, styles/symbols, and values. Further, the gender attitude measure
developed by Liben and Bigler (2002) includes three separate domains: occupations, activities,
and traits, and research conducted with adults (Deaux and Lewis 1984) has provided evidence
for four gender stereotype components: traits, role behaviors, occupations, and physical
appearance. While the domains documented in prior research served as a guide, we adjusted
our domain categories on the basis of frequency of use to ensure that our coding system reliably
captured the content of children’s statements. In particular, some domain categories were
excluded from our coding scheme because they were not represented in children’s statements
(e.g., values).
For the present study, children’s responses were coded into general categories based on their
stereotyped nature and into sub-categories based on their domains. The broad categories were:
feminine stereotypes, masculine stereotypes, neutral responses (e.g., “they wear clothes”), and
other category responses (i.e., “don’t know” and ambiguous/questionable responses). The
seven domain sub-categories used to code children’s statements were: activities and toys (e.g.,
“boys play with trucks”), appearance (e.g., “girls wear dresses”), interpersonal (e.g., “girls
whisper to each other”), occupation (e.g., “boys grow up to be firefighters”), biological
characteristics (e.g., “boys are tall”), social roles (e.g., “girls do the dishes”), and traits (e.g.,
“girls are sensitive”, “boys are mean”). Each response statement was coded into one of these
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categories. However, if consecutive statements reflected one idea, such responses were coded
as one statement (e.g., “girls wear dresses and skirts” was coded as one feminine, appearance
response).
Two independent raters, who were unaware of the gender and age of the participants, coded
20% of the total responses Due to the high inter-rater reliability (kappa=.86), one of the raters
coded the remainder of the responses individually and consulted with the second rater on
ambiguous responses.
Stereotype Variables
First Responses—We first explored differences in the domain categories that were most
accessible for children when they first spoke about girls and boys. These differences in domain
accessibility were examined by analyzing the first responses that children provided for each
question.
Proportional Analyses—In addition to examining first responses, we were also interested
in assessing domain differences in the complete content of children’s responses. To adjust for
differences in the number of statements participants provided for each question, proportions
were calculated based on the number of stereotyped responses to the total number of statements
provided (including “don’t know” and ambiguous responses). In all analyses, proportions were
based on the number of stereotyped responses that matched the cultural stereotypes for the
target’s gender (i.e., feminine stereotypes for girls; masculine stereotypes for boys). Within
the feminine and masculine stereotyped categories, variables were also created based on
proportions for each of the seven domain categories. These domain-specific proportions were
calculated by dividing the number of stereotyped responses for a given domain divided by the
total number of statements.
Results
Gender Stereotype Domains
The mean number of domain-specific stereotypes by participant gender and grade is outlined
in Table 1. Given the low frequency of interpersonal, occupational, social role, and biological
stereotypes in participants’ responses (combined, these domains constituted 2% of responses
on average), these domains were excluded from these analyses. Thus, the domain-specific
analyses were limited to the following three domains: activity/toy, appearance, and traits. As
described earlier, we used two different free recall methods to assess our three research
questions concerning the accessibility of children’s gender stereotype domains. The results
based on children’s first responses are presented in the next section, followed by the results
based on the complete content of children’s responses. Within both sections, the results relevant
to research question 1 are presented first, followed by the results relevant to research questions
2 and 3. All analyses were performed on arcsine transformations of the proportions and pairwise
comparisons were conducted using the Bonferroni adjustment for multiple comparisons.
First Responses
Target gender (research question 1): The results revealed that the most frequent response
domain for the female target was appearance (31%), followed by traits (19%) and activities
(14%). In contrast, the most frequent responses for the male target concerned traits (27%),
followed by activities (19%) and appearance (13%). Overall, these percentages suggested
domain differences in the most accessible stereotypes that children provided for girls versus
boys, with a very notable difference for use of the appearance domain when describing females
versus males.
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Participant characteristics (research questions 2 and 3): Two-way multivariate analyses of
variance (MANOVAs) were conducted to determine if there were age and gender differences
in using appearance, activity, and trait stereotypes when first describing females and males.
The analyses for the female and male targets were conducted separately. The three dependent
variables for each analysis were the proportion of appearance, activity, and trait stereotypes
that were contained in the first responses. When describing females, there were no significant
gender differences. However, significant grade differences emerged, F(9, 598)=3.40, p<.001.
Follow-up analyses revealed that there were grade differences in the use of trait stereotypes,
as expected. In particular, the first responses of first graders (p<.05) and fourth and fifth graders
(p<.01) contained more trait stereotypes when compared to the first responses provided by
preschoolers. In addition, there was a marginally significant grade difference in the use of
appearance stereotypes. Namely, fourth and fifth graders provided more initial appearance
responses when compared to kindergarteners (p=.057).
When describing males, a significant main effect for grade was found, F(9, 598)=3.03, p<.01,
but not gender. However, the main effect for grade was qualified by a significant grade by
gender interaction, F(9, 598)=1.99, p<.05. Follow-up analyses revealed that the first responses
of fourth and fifth grade boys contained more trait stereotypes than the preschool (p<.001),
kindergarten (p<.01), and first grade (p<.001) boys, as expected. Interestingly, however, for
girls, the analyses showed that the first responses of preschool girls contained more appearance
stereotypes when compared to the first grade girls (p<.01).
Proportional Analyses—The proportional data were analyzed using mixed design analyses
of variance (ANOVAs). The first set of proportional analyses was conducted to explore our
three main research questions concerning gender and grade differences in the stereotype
domains contained in children’s responses. Thus, a 2 (gender) × 4 (grade) × 3 (domain: activity,
appearance, and trait) × 2 (gender of target: female or male) mixed design ANOVA was
performed with gender and grade as between-subjects factors and domain and gender of target
as within-subjects factors (see Table 2 for percentages of the three domain-specific
stereotypes). Similar to the presentation of the first response results, these analyses are divided
into two sections. The first section addresses our first question concerning domain-specific
interactions involving descriptions of girl versus boy targets. The second section focuses on
our second two questions concerning domain-specific interactions with participant gender and
grade.
Target gender (research question 1): A significant interaction between domain and gender
of target was found, supporting the idea that certain domain-specific stereotypes may be more
accessible for female versus male targets, F(2, 496)=33.92, p<.001. Consistent with the
findings supported above for first responses, tests of simple effects revealed that, relative to
appearance stereotypes, children’s statements included more activity (e.g., likes sports) and
trait (e.g., plays rough) stereotypes when describing boys (p <.001 for both comparisons). There
were no other interactions for boy targets, which suggest that this finding was consistent across
gender and grade. For girl targets, children’s statements contained more appearance stereotypes
compared to activity (p<.001) and trait (p<.01) stereotypes (see Table 2), which was also
consistent with the first response findings. However, the appearance effect for girl targets was
qualified by a significant three-way interaction between domain, gender of target and gender
of participant, F(2, 496)=3.04, p<.05. Tests of simple effects revealed that while both girls and
boys provided significantly more appearance stereotypes (e.g., pretty, having long hair,
wearing a dress, jewelry, and make-up) when asked about girls, this effect was stronger for
girl participants, F(1, 248)=9.08, p<.01. Results also indicated a significant three-way
interaction involving domain, gender of target, and grade of participant, F(6, 496)=2.33, p<.
05, with pairwise comparisons indicating that, when describing girls, fourth and fifth graders
used more appearance stereotypes than kindergarteners (p<.01). Indeed, it seems extraordinary
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that, on average, half of the statements of any kind made by fourth and fifth grade girls about
girls referred in some way to appearance (see Table 2). Despite this emphasis on appearance
stereotypes for girls, it is noteworthy that one trait and one activity were frequently used to
describe girls: “Girls are nice” and “Girls play with dolls”, suggesting that some particular
stereotypes, regardless of domain, may be especially accessible (see Table 3 for a description
of the most frequent responses by participant’s gender, grade, and target’s gender).
Participant characteristics (research questions 2 and 3): The results examining gender and
age differences in overall domain use revealed a marginally significant domain by gender
interaction effect, F(2, 496)=2.55, p=.079. However, tests of simple effects indicated that
gender differences in stereotype domains were limited to appearance, F(1, 248)=5.93, p<.05,
suggesting that these stereotypes were more cognitively accessible for girls than for boys (see
Table 2).
A significant interaction was also found between domain and grade, F(6, 496)=5.67, p<.001,
with simple effects analyses showing significant age differences in the proportion of trait, F
(3, 248)=13.80, p<.001, activity, F(3, 248)=2.86, p<.05, and appearance, F(3, 248)=3.05, p<.
05, stereotypes. As expected, these age trends were generally consistent with the developmental
literature on person perception, showing less use of internal characteristics (e.g., traits) among
younger children. However, our findings also suggest that older children still consider concrete
attributes (e.g., appearance) important (Rholes et al. 1990). More specifically, preschoolers
(p<.001), kindergarteners (p<.05), and first graders (p<.01) reported fewer trait stereotypes
compared to fourth and fifth graders. These results are consistent with the grade differences in
use of traits found in children’s first responses. In addition, kindergarteners named significantly
more Activity stereotypes than fourth and fifth graders (p<.01). Nevertheless, appearance
stereotypes comprised a significantly greater proportion of fourth and fifth graders’
descriptions relative to kindergarteners’ descriptions (p<.01).
Quantity of Gender Stereotypes—Analyses were also conducted to investigate our three
secondary questions involving gender and age differences in the quantity of stereotyped
statements provided regardless of domain, and whether this differed for same- versus other-
gender targets. These questions were explored with a 2 (gender) × 4 (grade) × 2 (gender-match:
same-gender or other-gender) mixed design ANOVA with gender and grade as between-
subjects factors and gender-match of the target as the within-subjects factor (see Table 4 for
the mean overall stereotype percentages by participant gender, grade, and target’s gender). In
contrast to prediction 1, within-subjects tests failed to reveal any significant main effects or
interactions, indicating that across grade and gender, participants did not differ in the number
of stereotypes they used when describing same- versus other-gender targets. However, our
hypotheses 2 and 3, concerning gender and age differences, were supported. Tests of between-
subjects effects revealed significant main effects for gender, F(1, 248)=7.14, p<.01, and grade,
F(3, 248)= 5.84, p<.01, such that the statements provided by girls (girls 71%, boys 61%) and
older children contained a significantly higher proportion of gender stereotypes. Post hoc tests
revealed that fourth and fifth graders (75%) generated a significantly higher proportion of
gender stereotypes compared to preschoolers (55%), p<.01. No other significant interactions
emerged, indicating that at every grade girls’ statements contained more gender stereotypes
than boys.
Discussion
This examination of children’s open-ended descriptions of girls and boys suggests that certain
gender stereotypes are differentially accessible when children think about boys and girls. These
findings have both theoretical and practical implications.
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Approximately one-third of responses used to describe girls consisted of stereotypes from a
domain that is given surprisingly little attention in the literature—appearance. At all ages,
except for a slight deviation at kindergarten, Appearance stereotypes such as pretty, having
long hair, wearing dresses, jewelry, and make-up, came to mind most readily when children
described girls. In contrast, activity (e.g., liking sports) and trait (e.g., fighting, playing rough)
stereotypes were more prevalent in descriptions of boys. Although the accessibility of
appearance stereotypes for girls may seem to contradict research showing that children respond
more harshly to boys who violate gender appearance norms (e.g., Smetana 1986; Blakemore
2003), we believe that our results help explain this phenomenon. Specifically, if girls are
defined by appearance, then a boy who looks like a girl may be perceived as more like a girl
than a boy who engages in or possesses female stereotyped activities and traits. Thus, boys
might incur more severe social sanctions from peers if they possess feminine appearance
attributes because these are considered more central to the definition of a girl.
The present results are also consistent with research demonstrating relations between physical
appearance and status for girls (Graham et al. 1998) and attractiveness and femininity in
children with gender identity disorder (Fridell et al. 1996; McDermid et al. 1998; Zucker et al.
1993). For instance, college students rated boys with gender identity disorder as more attractive
(Zucker et al. 1993) and girls with gender identity disorder as less attractive (Fridell et al.
1996) compared to the ratings for the same-gender control groups. The results of these studies
suggest that attractiveness is positively associated with femininity regardless of the target’s
gender. Further, the domain distinctions made in the present study are also consistent with the
results from a recent study on parent–child narratives with Latino families. In particular,
conversations with sons more often revolved around “action-based” activities, while
conversations with daughters more often included mention of physical appearance (Cristofaro
and Tamis-LeMonda 2008).
Despite the proclivity for children to describe girls in terms of what they look like and boys in
terms of what they do, researchers investigating the influence of gender stereotypes on
children’s preferences and behaviors have not incorporated this distinction. Although research
has shown that appearance is an important gender cue (e.g., Thompson 1975) and that children
are able to make predictions about appearance from other stereotyped content domains (and
vice versa; Bauer et al. 1998; Martin et al. 1990), investigators have given little consideration
to appearance as an important stereotype domain. This idea has been echoed in the adult gender
stereotyping literature by Deaux and Lewis (1984), who found that information about
appearance was far more influential than gender labels on judgments of traits, social roles, and
occupations.
These results also suggest that researchers need to be cognizant of the possibility that children
may not consider all stereotype domains equally when making choices or evaluating female
and male targets. In fact, it is possible that previous failures to find a relation between children’s
stereotype knowledge and preferences may be partly due to the inability of experimenter-
provided stereotypes to account for individual differences in the accessibility of certain gender
stereotype domains. Namely, while children might have multiple stereotypes available to them
in memory, a correspondence between stereotype knowledge and behavior might be apparent
only for those stereotype domains that are most accessible. For example, if the stereotypes
“girls wear skirts” and “girls play with dolls” are both available, but the “girls wear skirts”
stereotype is more accessible, we may be more likely to see a relation between knowledge of
appearance stereotypes and a preference for wearing gender stereotyped clothing than between
knowledge of activity stereotypes and a preference for playing with gender stereotyped toys.
Studies failing to find a relation between gender stereotype knowledge and behavior should be
re-evaluated in light of this possibility.
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In addition, our results showing the prevalence of female appearance-related stereotypes in the
descriptions of girls by even the youngest children raise questions about the potential
implications of this finding for girls’ behavioral and adjustment outcomes. Specifically, girls
who deviate from gender appearance stereotypes may incur peer rejection, leaving them
vulnerable to adjustment problems. Further, greater accessibility for appearance stereotypes
may also imply that girls and boys receive consistent messages about the most important
qualities girls should possess very early in development, which may leave girls vulnerable to
psychological distress should their self-esteem become contingent on self-perceived
attractiveness (Nolen-Hoeksema 2001; Ohring et al. 2002; Patrick et al. 2004).
A consideration of the content of stereotypes children viewed as most characteristic of boys
raises similar issues. Specifically, some of the most frequently mentioned trait stereotypes for
male targets included attributes that imply physically aggressive and anti-social behavior (e.g.,
mean, plays rough, fights; see Table 3). This emphasis on aggression may place boys at
significant emotional and physical risks. In addition, the preponderance of activity stereotypes
emphasizing athletics or sports among boys at all ages (with the exception of preschool) is
striking. Such a strong emphasis on athletic ability and roughness may set an unachievable
standard for boys who do not possess these qualities, potentially placing them at risk for poor
adjustment.
Limitations
While our findings raise a number of questions about prior conclusions in the gender
stereotyping literature, there are limitations in the present research that need to be considered
when interpreting the results. First, all of the interviewers who collected the data were female.
Although the gender of the interviewer was intentionally held constant to minimize unintended
effects, it is unclear whether the gender and feminine appearance of the interviewers affected
the stereotypes provided by the children. Second, our results are based on a predominantly
white, middle-class sample from the Northeastern US. Cross-cultural studies with children
reveal both similarities and differences in terms of gender stereotype knowledge (e.g., Albert
and Porter 1986; Ruble et al. 2006; Ward 1985; Williams and Best 1990). Therefore, it is also
possible that the relative emphasis on specific domains might depend on cultural context.
Nonetheless, the general conclusions on the differential accessibility of gender stereotype
domains are still relevant to understanding gender development in children from other cultural
and geographical groups.
Another important limitation is that our interviews were conducted 20 years ago, which raises
concerns about the historical context of the data. In particular, it is possible that the gender
stereotypes provided in our study were contingent on the expectations and portrayal of females
and males in the late 1980s, which potentially have limited relevance to contemporary gender
development. However, it is important to note that, despite some changes in the social structure
affecting gender roles, research continues to document the stability of gender stereotypes
(Lueptow et al. 2001; Ruble 1983). For instance, a review of the literature by Lueptow et al.
(2001) revealed that gender stereotypes have been stable from at least the 1950s to the 1990s.
Further, their own trend study conducted from 1974 to 1997 not only confirmed this finding,
but also revealed a steady increase in the perceived femininity of females. Overall, this finding
is consistent with the stereotypical manner in which males (e.g., aggressive) and females (e.g.,
appearance-focused/sex objects) continue to be portrayed in the media (APA 2007; Dill and
Thill 2007; Kilbourne 2003). For instance, a content analysis of video game magazines revealed
that male characters were more likely to be displayed as aggressive, whereas female characters
were more likely to be displayed as sexualized and scantily clad (Dill and Thill 2007), which
matches the way children described boys and girls in the present study. Taken together, we
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expect that contemporary analyses of children’s open-ended reports of girls and boys would
continue to show strong appearance effects for girls, and activity and trait effects for boys.
Even if there were some changes in the specific nature of stereotypes in the past 20 years, it is
important to emphasize that the present study did not intend to examine the extent to which
stereotypes are endorsed by children or the specific nature and rigidity of these stereotypes.
These features of gender stereotyping (e.g., rigidity, specific content items) may have changed
somewhat since 1988. In contrast, we expect that the domain categories of stereotypes, the
primary focus of the present study, are less likely to have changed over the past 20 years. For
instance, in 1988, a common response was “girls like My Little Pony” whereas today it might
be “girls like American Girl dolls”; in both instances, the statement would be coded as a
feminine, activity stereotype.
Directions for Future Research
Overall, the present study is only a first step toward better understanding the nature of children’s
gender concepts. In addition to children’s open-ended descriptions, researchers should employ
a variety of methods designed to illuminate how children think about boys and girls. Future
studies should investigate the cognitive developments, personal experiences, and situational
factors that may moderate the structure and accessibility of gender representations (e.g.,
Higgins 1996; Higgins and King 1981), making certain gender stereotype domains more
chronically accessible for some groups than others. For example, although the data in this study
did not allow us to make longitudinal comparisons, the significant differences by grade suggest
that the accessibility of certain gender stereotype domains may change as children mature.
Moreover, it is likely that personal experiences would promote individual differences in the
types of stereotype domains that are chronically accessible for children. Further, it is important
to assess the role that situational cues may play in the accessibility of gender stereotypes. For
instance, when children are asked to make explicit comparisons, as they often are in
experiments, stereotyping is more prevalent (Heyman and Legare 2004). Other situational
factors, such as the setting (e.g., school versus laboratory) and characteristics of the people
present (e.g., peers versus adults), are also variables that are likely to affect the accessibility
of children’s stereotype domains.
Future research should also include a more comprehensive analysis of stereotype domains. For
instance, our study was limited in that we only focused on three domains: activity/toy,
appearance, and traits. Although we also included interpersonal, occupation, biological
characteristics, and social roles in our coding scheme, we dropped these domains from our
analyses because they were minimally represented in children’s descriptions. It is possible,
however, that older children and adolescents may have been more likely to use the occupation
and social role domains because they are more relevant to adult behaviors. Similarly, the
younger children who provided occupational, social role, interpersonal, and biological
stereotypes may have been demonstrating a more sophisticated understanding of gender when
compared to children who primarily reported activity and appearance stereotypes. Taken
together, a study that includes a wider age range (e.g., children, adolescents, and adults) may
provide a more thorough understanding of developmental differences in the accessibility of
various stereotype domains.
The results of this study should also prompt future researchers to examine the moderating role
that accessibility may have in the relation between gender stereotypes and behavior. For
instance, do children show a preference for gender-typed activities that are highly accessible
compared to gender-typed activities that are available in memory, but less accessible? Answers
to questions such as this one are important for the advancement of cognitive theories of gender
development.
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In conclusion, our results show that children may differ in the accessibility of gender stereotype
domains for males and females. Although considerable research examining children’s gender
stereotype knowledge exists, our results suggest that researchers should not only consider
potential differences in the quantity of gender stereotypes, but also the domains and
accessibility of those stereotypes.
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Table 1
Mean number of domain-specific stereotypes across both questions by participant gender and grade
Activity/toy Appearance Interpers. Occupation Biological Social roles Traits Combined
Girls
Pre. (n=38) .80 (1.14) 1.58 (1.85) .50 (.86) .08 (.36) .00 (.00) .11 (.31) .61 (1.00) 3.66 (2.86)
K (n=13) 1.70 (1.31) .62 (1.19) .08 (.28) .00 (.00) .08 (.28) .00 (.00) .92 (1.04) 3.38 (1.39)
First (n=39) 1.05 (1.70) 1.49 (1.85) .39 (.71) .03 (.16) .13 (.41) .03 (.16) 1.44 (1.50) 4.54 (2.22)
Fourth/fifth (n=35) .63 (.91) 2.14 (1.91) .26 (.78) .00 (.00) .11 (.40) .11 (.53) 1.66 (1.78) 4.91 (2.16)
Total (n=125) .92 (1.33) 1.60 (1.84) .35 (.75) .03 (.22) .08 (.30) .07 (.34) 1.19 (1.47) 4.26 (2.40)
Boys
Pre. (n=31) 1.45 (1.52) .84 (1.46) .10 (.30) .00 (.00) .06 (.25) .06 (.25) .26 (.51) 2.77 (2.47)
K (n=18) 1.6 (1.65) .72 (1.56) .28 (.83) .00 (.00) .11 (.32) .00 (.00) .50 (.62) 3.22 (2.46)
First (n=48) 1.29 (1.56) 1.04 (1.66) .23 (.63) .10 (.37) .13 (.40) .02 (.14) .90 (1.15) 3.71 (2.19)
Fourth/fifth (n=34) .74 (1.16) 1.00 (1.30) .09 (.29) .00 (.00) .03 (.17) .00 (.00) 1.94 (1.30) 3.80 (1.79)
Total (n=131) 1.23 (1.49) .94 (1.50) .17 (.53) .04 (.23) .08 (.30) .02 (.15) .96 (1.19) 3.44 (2.22)
Standard deviations are presented in parentheses
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Table 2
Mean percentages of domain-specific stereotypes by target gender, participant gender, and grade
Percentages for girl targets Percentages for boy targets
Activity/toy Appear. Traits Activity/toy Appear. Traits
Girls
Pre. (n=38) 9 (20) 33 (39) 4 (14) 21 (35) 18 (31) 16 (29)
K (n=13) 20 (31) 17 (28) 29 (38) 43 (36) 3 (9) 23 (44)
First (n=39) 14 (20) 34 (38) 20 (32) 18 (28) 11 (23) 33 (37)
Fourth/fifth (n=35) 6 (18) 49 (35) 17 (26) 18 (32) 15 (28) 34 (35)
Total (n=125) 11 (21) 36 (37) 15 (28) 21 (33) 13 (26) 27 (35)
Boys
Pre. (n=31) 19 (25) 16 (30) 3 (8) 27 (39) 8 (19) 6 (19)
K (n=18) 20 (34) 13 (28) 14 (28) 34 (31) 8 (18) 13 (28)
First (n=48) 15 (26) 23 (32) 17 (28) 33 (36) 9 (21) 15 (23)
Fourth/fifth (n=34) 13 (27) 25 (32) 32 (36) 16 (29) 11 (26) 45 (32)
Total (n=131) 16 (27) 21 (31) 17 (29) 27 (34) 9 (21) 20 (30)
Combined
Pre. (n=69) 13 (23) 25 (36) 3 (11) 24 (36) 14 (26) 12 (25)
K (n=31) 20 (32) 15 (27) 20 (33) 37 (33) 5 (15) 17 (35)
First (n=87) 14 (23) 28 (35) 18 (30) 26 (33) 10 (22) 23 (31)
Fourth/fifth (n=69) 9 (23) 37 (36) 24 (32) 17 (30) 13 (27) 40 (34)
Total (n=256) 13 (24) 28 (35) 16 (28) 24 (34) 11 (24) 24 (33)
Standard deviations are presented in parentheses
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Table 3
Most frequent domain-specific responses by participant gender, grade, and target’s gender
Total # of
responses Statements for girl targets Statements for boy targets
Activity/toy Appearance Traits Activity/toy Appearance Traits
Girls
Pre. 102 Dolls/barbies (5) Dresses (13) Nice/sweet (2) Video games (2) Wears pants (5) Fghts/hits (8)
87
K 34 Dolls/barbies (9) Dresses (9) Nice/sweet (15) Basketball (10) Short hair (1) Mean (7)
29
First 120 Dolls/barbies (5) Dresses (11) Nice/sweet (9) Baseball (3) Short hair (5) Fights/hits (10)
104
Fourth/fifth 120 Jump rope (1) Concern w/appearance (12) Nice/sweet (4) Plays/likes sports (9) Short hair (3) Fights/hits (10)
98
Boys
Pre. 71 Dolls/barbies (9) Jewelry (9) Nice/sweet (1) Action figures (4) Wear shorts (4) Play rough (2)
85
K 40 Dolls/barbies (18) Jewelry (13) Nice/sweet (8) Ride bikes (8) Wear boys’
clothes (4) Athletic (2)
48
First 124 Dolls/barbies (9) Long/pretty hair (6) Nice/sweet (12) Baseball; Video
games (4) Short hair (4) Play rough (4)
137
Fourth/fifth 87 Dolls/barbies (2) Long/pretty hair (8) Nice/sweet (10) Plays/likes sports (5) Short hair (5) Athletic (8)
84
The total number of responses when asked about girl targets is presented first, followed by the total number of responses provided when asked about boy targets. The percentage of total responses that
included the statement is presented in parentheses
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Table 4
Mean percentages of overall stereotypes by participant gender, grade, and target’s gender.
Percentages
for girl
targets
Percentages
for boy
targets
Percentages
for targets
combined
MSD MSD MSD
Girls
Pre. (n=38) 55 42 71 41 63 37
K (n=13) 71 35 69 32 70 24
First (n=39) 73 32 76 28 74 20
Fourth/fifth (n=35) 77 27 74 32 76 22
Total (n=125) 69 35 73 34 71 27
Boys
Pre. (n=31) 44 43 48 43 46 31
K (n=18) 54 44 61 40 57 36
First (n=48) 62 40 64 33 63 31
Fourth/fifth (n=34) 72 36 76 27 74 25
Total (n=131) 59 41 63 36 61 32
Combined
Pre. (n=69) 50 42 60 43 55 35
K (n=31) 61 41 64 36 63 32
First (n=87) 67 37 70 32 68 27
Fourth/fifth (n=69) 75 32 75 29 75 23
Total (n=256) 64 38 68 35 66 30
Sex Roles. Author manuscript; available in PMC 2009 July 14.
... Similarly, some research indicates that children's insistence on wearing gender-typical clothes is stronger for preschoolers than for school-aged children, especially for girls, and appears to be unrelated to parental preferences for how their children dress (Halim et al., 2013(Halim et al., , 2014(Halim et al., , 2016. This developmental pattern of rigidity followed by more flexibility in appearance has also been demonstrated for children's gender stereotype development, although gender stereotypes seem to peak somewhat later at 5 to 6 years of age (Miller et al., 2009;Trautner et al., 2005). ...
... In contrast, when women make choices about their appearance, they also report actively negotiating between what clothing means to their identity and societal gender norms about appropriate feminine appearance (Goodman et al., 2007). In addition, women generally experience stronger societal appearance pressures than men, in both US and Chinese samples (Luo et al., 2020;Mahalik et al., 2005), and appearance is a principal component of stereotypes about girls (Miller et al., 2009). Therefore, women's and girls' appearance might be a less authentic reflection of their identity (i.e., perceived gender similarity), and more a reflection of societal gender norms, compared to men. ...
... For instance, expressing femininity in their appearance would require boys to navigate more restrictive gender norms for boys and men, a more limited repertoire of clothing options, and strong disapproval of peers and parents (Heinze & Horn, 2014;Kane, 2006;Leaper & Farkas, 2015). Expressing a masculinity in their appearance would require girls to resist stronger societal appearance pressures for girls and women (Luo et al., 2020;Mahalik et al., 2005) and to violate stereotypes about girls (Miller et al., 2009) and their appearance (Faragó et al., 2022). ...
Article
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The emergence of gender-typical appearance in childhood appears to have important implications not only for child and adolescent social-emotional functioning but also for later working life. In the current study, we examined how parents’ gender-typical appearance and children’s gender similarity (to same- and other-gender peers) were related to young children’s gender-typical appearance. We also explored differences in these associations between boys, girls, mothers, and fathers. Home visits were conducted with 74 Dutch two-parent (mother, father) families with both a son and daughter between the ages 3–6 years (96.6% White, 2.0% Asian, 1.4% other ethnicity). The gender-typical appearance of all four family members was assessed by trained and reliable coders in the videotaped observations from the home visits. As a measure of children’s gender similarity, both parents reported on the similarity of their son and daughter to same-gender and other-gender peers. Generalized estimating equations showed that more gender-typical appearance of parents was associated with more gender-typical appearance of girls, but not of boys. No differences were found between mothers and fathers for the association between parent and child appearance. Moreover, children’s gender similarity, evident in parents’ perceived similarity of their child to peers of the same gender and dissimilarity to peers of the other gender, was associated with more gender-typical appearance in children. To conclude, both children’s gender similarity and parents’ gender-typical appearance appear to play a role in the gender-typical appearance of young children.
... Além da família, outro importante contexto socializador vivenciado pelas crianças, ainda durante a primeira infância, é a escola (Gomes & Aquino, 2019), que é um espaço onde as normas de gênero podem ser reproduzidas por professores em suas práticas pedagógicas , pois, quando são fundadas nas diferenças corporais entre meninos e meninas, são construídos entendimentos sobre o comportamento infantil que instauram um processo de vigilância constante não só pelos funcionários da escola, mas também pelas próprias crianças (Vianna & Finco, 2009). Dentro dessa lógica, as crianças que se desviam da normatividade do gênero podem ser rejeitadas por seus colegas e sofrer emocionalmente e fisicamente com isso (Miller et al., 2009). ...
... Destaca-se também os estudos que objetivaram discutir as diferenças de gênero nos comportamentos e emoções das crianças, os quais procuraram, muitas vezes, no contexto da Educação Infantil, investigar se havia diferença entre os mecanismos de controle de emoções e comportamentos agressivos de crianças a depender do gênero. Tais pesquisas se fazem relevantes, uma vez que as atitudes e emoções fazem parte da complexa rede das relações sociais estabelecidas desde a mais tenra idade, a qual pode se definir como uma rede de conflitos, de sansões sociais entre as próprias crianças quando uma delas não segue os estereótipos de gênero nas suas atitudes ou não se identifica com traços de personalidade também definidas pela estereotipagem (Miller et al., 2009). ...
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O objetivo da presente revisão de escopo é analisar a produção mundial de artigos empíricos que abordam a relação entre as questões de gênero e a primeira infância, publicados até o ano de 2020. A busca foi feita nas bases de dados SciELO, PubMed, Periódicos CAPES e Web of Science, com a junção dos descritores ‘Early Childhood’ e ‘Gender’ nos títulos dos trabalhos, e seguiu as recomendações do Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). Verificou-se que o tema é teorizado, principalmente, a partir da perspectiva dos países desenvolvidos e que a área de Educação, a qual mais apresenta contribuições e investiga as relações de gênero no contexto da Educação Infantil, aponta para a influência da estereotipagem de gênero nas práticas pedagógicas dos educadores. Além disso, embora conte com uma produção expressiva na última década, a temática carece de estudos que articulem outros condicionantes sociais, como raça e classe.
... Recent research provides some insights. Miller et al. (2009) found that older children in fourth and fifth grades generated more gender-stereotypical statements to describe boys and girls than did preschoolers. This greater knowledge may contribute to greater reliance on gender stereotypes for judging gendered behaviors. ...
... The second set of hypotheses concerned children's age. Gender segregation peaks in middle childhood with children more intensively scrutinizing peers' gender nonconformity (Leaper, 2022;Mehta & Strough, 2009), and children's knowledge of gender stereotypes increases with age (Blakemore, 2003;Miller et al., 2009;Trautner et al., 2005). Both factors suggest gender-stereotypical reasoning would be more common among older children. ...
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Children show less positivity toward gender-nonconforming (GN) than gender-conforming (GC) peers. Yet, little is known about children’s reasoning about peers of varying gender expressions, including age-, gender-, and culture-related influences. We investigated how children aged 4- to 5- and 8- to 9-years-old in Hong Kong and Canada (N = 678) reason about their moral judgments of GC and GN peers. After viewing vignettes describing GC and GN boys and girls, we asked children whether each target peer’s behavior was right or wrong and why they thought so. We coded children’s reasoning using a new coding scheme developed via inductive content analysis. Overall, children’s most commonly used reasoning styles were global standard, personal choice, gender stereotypes, “don’t know,” and others’ welfare. Children used more gender stereotype-related reasoning when they were older and from Hong Kong, appraising the GN boy, or when they perceived the target’s behavior as wrong. In contrast, children reasoned based on personal choice more when they were from Canada or when they perceived the target’s behavior as right. These findings inform how age-, gender-, and culture-related factors are associated with children’s reasoning about the acceptability or appropriateness of varying kinds of childhood gendered behavior. They provide insights regarding children’s appraisals of different gender expressions by illuminating not only how they view GC and GN peers but also, from their own perspectives, why they do so. These insights have implications for strategies aimed at decreasing gender-related biases and increasing children’s acceptance of gender diversity.
... Deti v predškolskom veku si napríklad vyberajú oblečenie alebo hračky na základe svojej rodovej identity (Eaton et al., 1981;Halim et al., 2014), a to tak, že prejavujú záujem o predmety, ktoré sú spojené s ich vlastným rodom, a nie o predmety spojené s iným rodom. Podobne vo veku 3 rokov a počas celého predškolského veku deti prejavujú silnú preferenciu osôb rovnakého pohlavia, ku ktorému náležia ony (Shutts et al., 2013), a na základe rodovej príslušnosti očakávajú určitý vzhľad a činnosť od iných (Miller et al., 2009). Vývin transrodovej identity u detí je popísaný nedostatočne, keďže sa mu venuje len veľmi málo výskumov. ...
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(Patarák M. Závažné problémy v starostlivosti o pacientov s rodovým nesúladom. Sexuológia, 2023; 23(2): 6-14.) The article clearly names the clinical problems that psychiatrists, clinical psychologists, and sexologists need to target, acquire knowledge and experience in addressing them, and cultivate intra-and inter-professional collaboration in their management. Such important issues include the rising prevalence of gender incongruence, gender terminology that goes beyond current medical understanding and anchoring, some personality characteristics of individuals with gender incongruence, their comorbid psychiatric disorders, the need for a comprehensive psychological approach to individuals with gender incongruence beyond the domain of gender identity, the possibility of rapid onset gender dysphoria, social mechanisms of gender incongruence propagation, the non-medically mediated use of hormone treatment in undiagnosed individuals, gender pseudo-incongruence and any forms of detransition. (V článku sú jasne pomenované klinické problémy, na ktoré je potrebné zacieliť pozornosť psychiatrov, klinických psychológov a sexuológov, v ktorých riešení je potrebné nadobúdať poznatky a skúsenosti a v ktorých zvládaní je potrebné kultivovať vnútro-i medzi-odborovú spoluprácu. Medzi takéto významné problémy patrí stúpajúca prevalencia rodového nesúladu, rodová terminológia presahujúca súčasné medicínske chápanie a ukotvenie, niektoré osobnostné charakteristiky jedincov s rodovým nesúladom, ich komorbídne psychické poruchy, potreba komplexného psychologického prístupu k jedincom s rodovým nesúladom i mimo oblasť rodovej identity, možnosť rodovej dysfórie s rýchlym nástupom, sociálne mechanizmy šírenia rodového nesúladu, nemedicínsky sprostredkované užívanie hormonálnej liečby u doposiaľ nediagnostikovaných jedincov, rodová pseudo-inkongruencia a akékoľvek formy detranzície. Kľúčové slová: rodový nesúlad-rodová pseudo-inkongruencia-detranzícia-rodová dysfória s rýchlym nástupom.)
... Table 1 provides an illustration of the multidimensional nature of stereotypes that includes the dimensions of construct, domain, and gender role. Although there are more components worthy of study, this (Miller et al., 2009;Ruble et al., 2006), little research has compared components within the construct and gender role dimensions. The important role of stereotype construct was raised initially by Miller et al. (2006) when discussing the conflicting findings in the research literature concerning the effect of gender stereotypes on children's behavior (i.e., gender labeling studies). ...
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This paper presents a model relating characteristics of social life phases (e.g., socialization agents; activities and tasks; etc.) to specific features of change in social knowledge—social construct availability (including differentiation) and accessibilty—which, in turn, are hypothesized as relating to observed changes in developmental social cognition. The usefulness of this model is illustrated by (1) studies that find developmental differences in social judgments that cannot be accounted for by developmental differences in cognitive capacity or reasoning ability; (2) studies that find older children making less “sophisticated” judgments than younger children; and (3) studies that find important developmental similarities in judgments. Techniques for measuring children's social construct differentiation, social construct accessibility, beliefs concerning the frequency of trait-related behaviors, beliefs concerning the commonality of different traits, and preferred explanations of emotional events are described. Preliminary evidence of developmental similarities and differences on each of these measures is presented, and its relevance to the model is discussed. A general distinction is drawn between developmental and social-psychological studies of whether individuals “can” make prescribed and prespecified judgments, and studies of “how” individuals make the judgments they do make. The problems with the “can” approach and the need for the “how” approach, of which our model is one example, are discussed. This paper presents a model relating characteristics of social life phases (e.g., socialization agents; activities and tasks; etc.) to specific features of change in social knowledge—social construct availability (including differentiation) and accessibilty—which, in turn, are hypothesized as relating to observed changes in developmental social cognition. The usefulness of this model is illustrated by (1) studies that find developmental differences in social judgments that cannot be accounted for by developmental differences in cognitive capacity or reasoning ability; (2) studies that find older children making less “sophisticated” judgments than younger children; and (3) studies that find important developmental similarities in judgments. Techniques for measuring children's social construct differentiation, social construct accessibility, beliefs concerning the frequency of trait-related behaviors, beliefs concerning the commonality of different traits, and preferred explanations of emotional events are described. Preliminary evidence of developmental similarities and differences on each of these measures is presented, and its relevance to the model is discussed. A general distinction is drawn between developmental and social-psychological studies of whether individuals “can” make prescribed and prespecified judgments, and studies of “how” individuals make the judgments they do make. The problems with the “can” approach and the need for the “how” approach, of which our model is one example, are discussed.