After eading the articles for this weeks topic, please discuss the following regarding the two articles you selected: ??????????
After eading the articles for this week’s topic, please discuss the following regarding the two articles you selected:
• 3 key points from the article
• 2 quotes that speak to you with an analysis of why they are significant to development
• 1 Question (with an answer to your own question): You may question the findings, analyses, method, and conclusions. You may offer ideas for future research or how to build on the study. Superficial questions such as definition clarifications will not qualify for credit.
article is attached below
Journal of Early Adolescence 2014, Vol. 34(6) 816 –836
© The Author(s) 2013 Reprints and permissions:
sagepub.com/journalsPermissions.nav DOI: 10.1177/0272431613511329
jea.sagepub.com
Article
Cool Girls, Inc. and Self-Concept: The Role of Social Capital
Jessica D. Thomason1 and Gabriel Kuperminc1
Abstract Social capital was examined as a mediator of the association between youth development program participation and gains in self-concept in a sample of 86 primarily African American female adolescents in the Cool Girls, program, and 89 comparisons. Two dimensions of social capital (the diversity of girls’ social networks and the number of life domains in which girls were able to access help) were examined. It was hypothesized that participation in Cool Girls would be associated with increases in social capital and that this would mediate the relationship between participation in Cool Girls and increases in self-concept. Social capital was associated with gains in two dimensions of self-concept regardless of program participation: social acceptance and behavioral conduct. Finally, there was a significant indirect effect of participation on social acceptance and behavioral conduct, mediated through social capital. Implications are discussed.
Keywords social capital, youth development, self-concept, adolescents
The neighborhood and school conditions in which youth are raised can create barriers or opportunities for their development (Bronfenbrenner, 1979). Many inner-city neighborhoods are isolated from social resources
1Georgia State University, Atlanta, USA
Corresponding Author: Jessica D. Thomason, Department of Psychology, Georgia State University, 140 Decatur St., 11th floor, Atlanta, GA, 30303, USA. Email: [email protected]
511329 JEAXXX10.1177/0272431613511329Journal of Early AdolescenceThomason and Kuperminc research-article2013
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that provide opportunities for social mobility and psychological or emotional support (Fitzpatrick, Wright, Bettina, & LaGory, 2005; Stanton-Salazar, 1997, 2001, 2005). Researchers have found a link between increased social support and certain dimensions of adolescent self-concept (Demaray, Malecki, Rueger, Brown, & Summers, 2009), suggesting the importance of having access to supportive social networks. As a result, some programs attempt to provide youth with access to resources that might not otherwise be available to them. One example of this is Cool Girls, Inc., which notes in its mission statement that the program will empower girls and increase their self-esteem by increasing access to social resources and teaching girls how to access resources when in need. Thus, increasing social resources is seen as a mechanism through which youth eventually achieve desired youth develop- ment outcomes, including positive self-concepts.
Accessing Social Resources
Theories of social capital offer a useful framework for conceptualizing how youth programs, like Cool Girls, can help increase young peoples’ social net- works in ways that might increase opportunities for social mobility. Researchers use the term social capital to describe the extent of an individu- al’s access to people with diverse resources and view it as a resource that can provide opportunities and provide psychological and emotional support. One way to increase youth’s social capital is through participation in Youth Development Programs (YDPs). Drawing on research showing that the tran- sition to adolescence often poses risks for the development of girls’ self-con- cepts, some YDPs work exclusively with girls (LeCroy, 2004). Such programs often focus on increasing self-esteem (Royse, 1998) by challenging gender role stereotypes and encouraging self-determination (Kuperminc, Thomason, DiMeo, & Broomfield-Massey, 2011; LeCroy, 2004). In addition, due to the underrepresentation of women in positions of political power and in the fields of mathematics, science, technology, and engineering (Else-Quest, Hyde, & Linn, 2010), as well as persistent gender stereotypes, young girls may not see these opportunities as available to them. A common strategy of YDPs is to expand young peoples’ exposure to adult role models who can provide encouragement and practical guidance (Eccles & Gootman, 2002). It has been argued that developmental relationships (Li & Julian, 2012) or youth– adult partnerships (Zeldin, Christens, & Powers, 2013) that form between youth and these adult role models can serve as the active ingredients that promote positive youth development because they engage youth in reciprocal (e.g., shared interests) rather than prescriptive (e.g., skill training) interac- tions that can grow to increasingly draw on the youth’s contribution over
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time. Thus, increasing the network of these types of relationships in the lives of young people (i.e., their social capital) has the potential to be a key media- tor in the link between program participation and desired youth outcomes. In the present study, we examined youth’s perceptions of the acquisition of social capital as a mediator of the link between participation in Cool Girls and increases in self-concept.
Self-Concept in Adolescence
Self-concept is defined by how individuals assess their strengths and weak- nesses in multiple life domains (e.g., scholastic competence, behavioral con- duct; Harter, 1999), and is differentiated from self-esteem, as defined by a general sense of self-worth, or how one feels about oneself. Research has shown that the development of a positive self-concept during adolescence assists in negotiating new roles and relationships with others (Harter & Monsour, 1992, 1999). For example, perceived social acceptance has been related to several youth outcomes such as peer-reported hostile and aggres- sive behavior, peer-reported companionship, and teacher-reported adjust- ment on internalizing and externalizing behaviors and social problems (McElhaney, Antonishak, & Allen, 2008; Waldrip, Malcom, & Jensen- Campbell, 2008).
Research has also found significant gender differences in dimensions of self-concept, including body image (Nishina, Ammon, Bellmomre, & Graham, 2006; Peterson et al., 2007) and self-esteem (Zimmerman et al., 1997). Whereas both genders struggle with body image issues (Bearman & Stice, 2008; Jones, 2004; McCabe & Ricciardelli, 2003), girls’ concerns about their bodies are more likely to contribute to depression (Bearman & Stice, 2008; Cambron, Acitelli, & Pettit, 2009). In addition, girls faced with negotiating traditional gender roles as females while maintaining academic achievement (Skelton, Francis, & Read, 2010) often develop poorer math attitudes and stress related to stereotype threat (Else-Quest et al., 2010; Huguet & Régner, 2009). These challenges can spill over to other aspects of the self-concept as well, contributing to concerns about relationships and declines in overall self-worth (Miller & White, 2003).
Youth Development Programs
YDPs emerged in the 1990s as a response to single-issue prevention pro- grams that had become prevalent at that time. For example, many programs were implemented in schools and communities to prevent teenage pregnancy, or drug and alcohol abuse, or to reduce school drop-out rates. Researchers
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and practitioners began to recognize that focusing on the positive develop- ment of the “whole child,” rather than single-issue risk-behaviors, could pre- vent a wide-range of negative outcomes and prepare youth for the future. In order to help youth develop positively in terms of their physical and psycho- logical health, it is necessary to focus on building up youth’s internal and external resources (Eccles & Gootman, 2002). Internally, YDPs seek to pro- mote positive self-concept, self-determination, and positive future orienta- tion, among others. Externally, YDPs often seek to promote and expand youth’s access to positive adult role models. Such programs encourage the integration of family, school, and community efforts in helping to support and empower youth, broaden their horizons, and promote skill building (Eccles & Gootman, 2002; Roth & Brooks-Gunn, 2003). In essence, many YDPs seek to expand the social capital networks of youth by putting them in contact with people in their communities with various knowledge and skills.
What Is Social Capital and Why Is It Important?
According to Bourdieu (1983), social capital refers to membership in a net- work of people that contribute to an individual’s access to material, practical, symbolic, or socially instituted resources (such as a family name). The amount of social capital depends on the size of a person’s network, as well as the amount held by the other members. The connections one has with indi- viduals who have capital themselves can lead to increased social and eco- nomic status via further connections, advice, and financial loans or other resources (Bourdieu, 1983; Coleman, 1988a; Ferguson, 2006; Wall, Ferrazzi, & Schryer, 1998).
Stanton-Salazar (1997) measured social networks in terms of the help domains (e.g., nonfamily, school-based, friendships) and whether ties to fam- ily and institutions were weak or strong in their ability to provide youth with “institutional knowledge” that could aid in social mobility. Later, using quan- titative and qualitative methods to explore youth’s social networks, Stanton- Salazar (2001) identified several categories of adults as providing social support among the most resilient participants. He also expanded this work to explore the importance of peer social networks, including platonic relation- ships between males and females, on the positive development of Mexican- origin youth (Stanton-Salazar, 2005). These studies on the social networks of resilient youth highlight the importance of having a large, diverse social net- work comprised of family members and individuals in institutions such as churches or schools. With a diverse social network, youth are more likely able to find someone to support them in multiple areas of their lives. Parents cannot always help with schoolwork, and teachers may not always be
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available to help each student solve a life problem. Therefore, studies that go beyond a measurement of network size to include a range of life domains with helping resources and the diversity of networks may provide more use- ful descriptions of social capital and its role in development.
Youth Development Programs and Social Capital
Despite being one of the “active ingredients” in the success of YDPs, researchers rarely have directly studied social capital and its role in promot- ing youth development. However, Jarrett, Sullivan, and Watkins’s (2005) qualitative study of three urban youth programs found that youth had increased access to supportive adults who provided them with information, assistance, exposure to adult worlds, and support and encouragement. In addition, in Sullivan and Larson’s (2010) qualitative study of seven primarily urban youth programs, youth described receiving information, skills, and access to adult worlds, even if these relationships were brief or superficial. These studies highlight the potential for YDPs to play a critical role in increasing youth’s access to adults who provide valuable resources. The research on natural or informal mentoring provides some insight into these processes as well. For example, Hurd and Sellers (2013) found that Black youth who described having “connected” relationships with a natural mentor did better academically through the psychological and social benefits of these relationships. Furthermore, Mekinda and Hirsch (in press) describe the char- acteristics of informal mentoring relationships that occur in after-school pro- grams as an important ingredient to developing positive psychological outcomes for youth. These studies suggest that there are benefits of natural mentoring relationships, and that these relationships can be built through par- ticipation in after-school programs similar to Cool Girls.
Youth Self-Concept and Social Capital
Social capital is related to several youth outcomes such as academic achieve- ment (Kao & Rutherford, 2007), extracurricular participation (Glanville, Sikkink, & Hernandez, 2008), substance use (Curran, 2007), drop-out rates (Groninger & Lee, 2001), and indicators of health and well-being (Rosenfeld, Richman, & Bowen, 1998). Research on the association between social sup- port and self-concept is also relevant, given conceptual overlap of social sup- port with social capital. For example, Rosenfeld et al. (1998) examined the social support of African American and White youth involved in a drop-out prevention program. The authors found that youth who reported low social support had significantly lower self-esteem than others.
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In the present study, we examined the role of social capital in the develop- ment of self-concept for youth attending an Atlanta-based YDP. Because the program seeks not only to provide access to social resources directly, but also to teach girls how to seek out the support they need, we hypothesized that girls who participate will report significantly more social capital than those who do not. We also hypothesized that social capital would be associated with increases in self-concept and that social capital would mediate the rela- tion between participation and increases in self-concept.
Method
Program Description
Cool Girls, Inc. is an Atlanta, Georgia–based YDP with the primary focus of empowering low-income girls to “. . . become self-assured and to break cycles of poverty, teen pregnancy, racism, and sexism” (Cool Girls, Inc., 2008; Kuperminc et al., 2011). This multi-component program includes an after-school club (Cool Girls Club) for life skills development, several pro- grams for academic support, a technology program, business program, and a one-on-one mentoring program in which girls are matched with female vol- unteers to provide personal support, friendship, and role modeling (Cool Girls, Inc., 2008). The Cool Girls, Inc. theory of change asserts that increas- ing access to social resources and teaching girls how to seek out help when in need will aid their positive development. The Cool Girls Club seeks to help each girl be “. . . able to identify when she needs resources and support and knows how to access them” (Cool Girls, Inc., 2008). All girls enrolled in the program are expected to attend Cool Girls Club every week. Additional pro- gram components, including technology workshops and summer camps that focus on entrepreneurship, money management, career choices and leader- ship skills further provide girls with exposure to women in several fields such as business, health care, and “non-traditional” fields such as players from the Atlanta Dream Women’s Basketball team. The present study focuses on the “social resources” aspect of the Cool Girls, Inc. theory of change and evalu- ates whether participation in the program is related to increased access to social resources and whether these resources are associated with increases in self-concept.
Participants
We used data from a 2005-2006 evaluation of Cool Girls, Inc. that used a quasi-experimental demographically matched comparison group design.
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Pre-test data were collected from 175 girls (86 Cool Girls, 89 comparisons) at four elementary schools (Grades K-5), two middle schools (Grades 6-8), and two schools that served elementary and middle school–aged students (Grades K-8). Eighty participants were in elementary school, and 95 were in middle school, with ages ranging from 9 to 15. Eighty-eight percent identi- fied as African American, 4% as Latina/Hispanic, 2% as Asian/Vietnamese, 1% as Caucasian, and 4% as “Other.” Ethnicity data were missing for 2 girls. Post-test data were available for 150 of the girls. Cool girls and comparisons shared similar demographic characteristics with respect to age and ethnicity; however, Cool Girls were significantly less likely to be from a two-parent family, χ2(3, N = 175) = 4.89, p < .05. Independent-samples t-tests computed for all study variables at pre-test found no significant differences between Cool Girls and comparisons. These findings suggest that the groups were demographically similar and were relatively well matched with regard to social capital and self-concept at pre-test.
Procedure
All Cool Girls participants in Grades 5 through 8 who attended Cool Girls Club were eligible for the study. Comparisons were identified in two ways: through school guidance counselor nominations and by asking program par- ticipants to name two to three friends who were not in Cool Girls but whom they thought would answer questions the same way they did. The research team sent letters to Cool Girls participants and nominated comparison girls explaining the study to families. The Georgia State University Institutional Review Board approved these procedures; signed parental consent was obtained for both groups, as well as youth’s assent to participate.
The research team collected pre-test data in the beginning of the 2005 fall semester (September-October) and post-test data at the end of the 2006 spring semester (April-May). Participants completed paper-and-pencil surveys at the pre- and post-test in-group sessions that lasted approximately 30 minutes. An evaluator read each question aloud to account for variations in reading level. Cool Girls, Inc. participants and comparisons completed identical questionnaires. The evaluator reminded participants that their answers were confidential and that they could withdraw their participation at any time.
Measures
Participation in Cool Girls, Inc. Program participation was dummy coded, with Cool Girls, Inc. coded “1” and comparisons coded “0.”
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Involvement in extracurricular activities. Cool Girls and comparisons reported their level of participation in sports or games, taking lessons or attending classes outside of school, and going to meetings outside of school for a club or youth group (other than Cool Girls). Response options were on a 4-point scale ranging from 0 = never to 3 = almost every day. To assess the number of activities in which youth were actively involved, we created an index vari- able measuring the number of activities in which youth reported participating at least “once or twice per week” (range = 0-3).
Social capital. We assessed social capital eliciting information about helping resources in the domains of schoolwork, support and guidance, problem- solving, and goal-setting. Participants provided information about whether they had someone to help them when they experienced difficulty in each domain (e.g., “Everyone needs help with schoolwork some times. I have someone to go to for help with schoolwork.”). If they responded “yes,” they provided a name and their relationship to the person. We then used responses to construct measures of two aspects of social capital: the number of domains in which the participant reported having help and the diversity of her net- work. We calculated number of help domains by counting the total number of domains in which the participant reported having help (range = 0-4). We coded relationships of helping resources to the participant into five catego- ries: immediate family (1), extended family (2), nonfamilial adult (3), friend/ peer (4), and other (5), and calculated diversity of network as a count of the total number of different relationship types represented among each partici- pant’s social capital resources (range = 0-4). We averaged the z-scores of these two dimensions to create an overall social capital score (network diver- sity and number of help domains were significantly correlated at pre-test and post-test, rs = .44 and .42, respectively, ps = .00).
Self-concept. Self-concept was measured using an adaptation of the Self-Per- ception Profile for Children (Harter, 1985). The adapted scale used a 4-point Likert-type scale ranging from 1 = not true to 4 = always true. This measure has shown evidence of reliability and validity in past research with ethnically diverse children and adolescents (Kuperminc et al., 2011). Like the original, this adapted measure assesses self-concept in five domains (Harter, 1982; 1990), including social acceptance (α = .71; for example, “It is hard for me to make friends” [reverse scored]), behavioral conduct (α = .63; for example, “I act the way I am supposed to”), scholastic competence (α = .67; for example, “I am good at my schoolwork”), and body image (α = .69; for example, “I wish my body was different”). The scale also includes a separate measure of global self-worth (α = .77; for example, “I am happy with myself”).
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Results
Preliminary Analyses
Attrition analysis. Pre- and post-test assessments were completed by 85.7% (n = 150) of the participants. To examine potential contributors to attrition, indi- viduals who dropped out were compared with those who completed the post- test using t-tests or chi-squares on all study variables. Individuals who remained in the study had higher global self-worth, t(173) = 1.99, p < .05, and were more likely to be from a two-parent home, χ2(1, N = 175) = 8.45, p < .01. There were no significant differences between the groups on any other self-concept mea- sures, social capital measures, age, grade, or living with extended family.
Missing data. The percentage of missing data in the study variables ranged from 0.6% to 14.9%. We used Little’s MCAR test to determine whether miss- ing values were missing completely at random. The test was not significant χ2(14, N = 175) = 19.30, p = .15, suggesting that all missing values were miss- ing completely at random; thus, we imputed them using the expectation max- imization (EM) algorithm as suggested by Widaman (2006).
Examination of potential covariates. We examined seven variables as potential covariates: ethnicity, age, grade level, family composition, living with extended family, length of time in Cool Girls, and participation in extracur- ricular activities. Due to the small groups in the breakdown of ethnicity, we did not examine specific ethnic differences. However, ethnicity was dummy coded in order to differentiate participants who identified as African Ameri- can (coded “1”; n = 155), and the rest of the sample (coded “0”; n = 20). This variable was included as a covariate in all analyses. A dummy code differen- tiating participants who lived with two parents (1) or in a single parent home (0) was entered in all analyses due to its importance in contributing to social capital, and because family composition was related to program participa- tion and attrition. Furthermore, during early adolescence, family composi- tion may be associated with perceptions of social support (Gayman, Turner, Cislo, & Eliassen, 2011). Participation in extracurricular activities at pre-test significantly predicted scholastic competence at post-test (β = .04, p = .03), and was therefore included as a covariate in analyses of scholastic compe- tence. No other variables predicted post-test levels of self-concept or social capital and therefore were not entered as covariates (Jaccard, Guilamo- Ramos, Johansson, & Bouris, 2006).
Mean differences in social capital by program participation. We calculated inde- pendent-samples t-tests to examine mean differences in social capital by
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program participation. The t-tests were not significant for any of the pre-test measures, but reached significance for post-test measures of number of help domains, t(173) = −2.35, p = .02, network diversity t(173) = −2.37, p = .02, and overall social capital, t(173) = −2.82, p = .00. At post-test, Cool Girls (X
— = 3.74, SD = .48) reported that they could access help in more domains
than comparisons (X —
= 3.49, SD = .87). Similarly, Cool Girls (X —
= 2.13, SD = .66) reported greater network diversity than comparisons (X
— = 1.89, SD =
.66) and reported more social capital (X —
= 0.18, SD = .65) than comparisons (X
— = −0.17, SD = .97).
Correlations among variables. Correlations were obtained for all study vari- ables (see Table 1). Correlations among pre-test and post-test social capital variables were significant, suggesting moderate stability over time. Number of help domains at pre-test was significantly correlated with all pre-test self- concept variables except behavioral conduct and body image and with all post-test self-concept variables except body image. Number of domains at post-test was significantly correlated with all post-test self-concept variables.
Primary Analyses
Participation in Cool Girls and social capital. We used hierarchical multiple regression to examine the hypothesis that participation in Cool Girls contrib- utes to increases in number of help domains, network diversity, and overall social capital (Table 2). We entered pre-test social capital (number of domains, diversity of network, or total social capital) in Step 1 of the equation along with the covariates, followed by participation in Cool Girls, the pri- mary independent variable, in Step 2. The models predicting number of help domains and the diversity of participants’ network were not significant. However, the overall model predicting total social capital was significant at the trend level, suggesting that participation in Cool Girls was independently associated with a slight increase in overall social capital.
Social capital and self-concept. We used hierarchical multiple regression to examine whether reported access to social capital by post-test was associated with increases in social acceptance, behavioral conduct, scholastic compe- tence, body image, and global self-worth (see Table 3). For these analyses, we focused on overall social capital. For each model, we entered pre-test levels of self-concept, family composition, and ethnicity in Step 1, and post- test levels of total social capital in Step 2. For the model predicting scholastic competence, in extracurricular participation was also included in Step 1. As
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826
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