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Article

Teacher Discrimination Reduces School Performance of African American Youth: Role of Gender

by
Shervin Assari
1,2,3,* and
Cleopatra Howard Caldwell
2,4
1
Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA
2
Center for Research on Ethnicity, Culture and Health, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
3
Department of Psychology, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA
4
Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
*
Author to whom correspondence should be addressed.
Brain Sci. 2018, 8(10), 183; https://doi.org/10.3390/brainsci8100183
Submission received: 16 July 2018 / Revised: 18 September 2018 / Accepted: 26 September 2018 / Published: 30 September 2018
Versions Notes

Abstract

:
Background: Gender may alter African Americans’ vulnerability to discrimination. The type of outcomes that follow exposure to discrimination may also be gender-specific. Although teacher discrimination is known to deteriorate school performance, it is yet unknown whether male and female African American youth differ in the effect of teacher discrimination on school performance. Objective: This cross-sectional study explored the moderating role of gender on the effect of teacher discrimination on school performance in a national sample of African American youth. Methods: The National Survey of American Life-Adolescent Supplement (NSAL-A) enrolled a nationally representative sample (n = 810) of 13–17-year-old African American youth. Demographic factors, socioeconomic status, teacher discrimination, and school performance (grade point average, GPA) were measured. Linear multivariable regression models were applied for data analysis. Results: Males and females reported similar levels of perceived teacher discrimination. In the pooled sample, higher teacher discrimination was associated with lower school performance among African American youth (b = −0.35; 95% confidence interval (CI) = −0.49 to −0.22). Gender interacted with perceived teacher discrimination (b = 12; 95% CI = 0.24–2.02), suggesting a significant difference between males and females in the magnitude of the association between perceived teacher discrimination and GPA. In stratified models, perceived teacher discrimination was associated with worse school performance of females (b = −12; 95% CI = −0.03 to −2.78) but not males (b = 0.01; 95% CI = −0.07 to 0.08). Conclusion: In line with previous studies, gender was found to alter the vulnerability of African American youth to perceived discrimination. African American boys and girls may differ in their sensitivity to the effects of teacher discrimination on school performance.

1. Introduction

Perceived racial discrimination is a common experience across US institutions and systems [1,2,3,4], and is a main contributor to the racial and ethnic gap in well-being of Americans [5,6,7,8,9,10,11,12,13]. Perceived discrimination is a well-established risk factor for multiple physical and mental health outcomes [14,15,16,17], and evokes a wide range of undesired outcomes [9,18,19,20,21,22,23,24,25,26,27]. Perceived discrimination is linked to negative emotions [18] such as depression, anxiety, and distress [18,19,20,21], behavioral risk factors such as suicide [23], substance use [9,24,25,26,27], and obesity [28], hyper-vigilance [29], and social isolation [22]. Perceived teacher discrimination (PTD) is also a predictor of poor school performance defined as low grade point average (GPA) [30,31] and school dropout [32,33].
Although all age groups of African Americans report perceived discrimination [29,34,35,36,37,38], African American youth who start developing their social and racial identity may perceive more discrimination [36,37,38]. Among African Americans, gender affects both perception as well as sensitivity to discrimination [30,31]. Minority males report more discrimination than minority females, a pattern which is shown in African American and other ethnic groups [27,36,39,40,41]. Gender also alters the harmful effects of discrimination [19,42,43,44], with females being more prone to the effects of discrimination on obesity and eating disorders [45] and males being more prone to the effects of discrimination on psychological distress [21], anxiety/depression [20], and substance use [46]. Thus, exposure and sensitivity to discrimination are not merely shaped by race and ethnicity, but by the intersection of gender and race/ethnicity [21,23,30,31,42,44,47]. As each intersectional social group (e.g., race/ethnicity by gender groups) has a unique life history, values systems, expectations, support systems, attributions, and norms [48], causes and consequences of the very same discriminatory experiences may vary for them. African American males and females are not an exception in this regard. Similar patterns are also shown for other types of environmental stressors [19,42].
Although PTD is an important type of discrimination against African American youth [49], very limited knowledge exists regarding gender differences in the effects of PTD on school performance of African American youth [30,31]. While overall, youth with PTD report poor school performance [50], this effect may differ for boys and girls [30,31]. However, available studies have mostly used local samples [30,31], leaving a gap in the knowledge that is generalizable to the US population. As a result, there is a need for studies that recruit a nationally representative sample of adolescents. In addition, there is a need for studies with large sample sizes, which generate statistical power to test moderations and mediations of PTD on youth outcomes (e.g., school performance).
To fill the gap on the effects of PTD on school performance among African American youth, we explored gender variation in the link between PTD and grade point average (GPA) in a national sample of African American youth. In line with the past literature on male–female differences in exposure and sensitivity to discrimination [30,31,47,51] and other types of stress [19,42], we expected an interaction between gender and discrimination. We expected a larger effect of PTD on GPA in males compared to females.

2. Methods

2.1. Design and Setting

This cross-sectional study used data from the National Survey of American Life-Adolescent Supplement (NSAL-A) [36,52]—a landmark national mental health survey of African American youth [53], conducted as part of the Collaborative Psychiatric Epidemiology Surveys (CPES) [54]. The NSAL-A is one of the very few available studies that makes a distinction between ethnic groups of Blacks. The NSAL (CPES) was conducted by the Institute for Social Research (ISR) at the University of Michigan (UM).

2.2. Ethical Considerations

The NSAL-A study protocol was approved (B03-00004038-R1) in the year 2003 by the University of Michigan (UM) Institutional Review Board (IRB). Youth provided assent. Youth legal guardians signed written informed consent.

2.3. Participants and Sampling

The analytical sample in the current study was 810 African American adolescents aged 13 to 17 years old. Detailed description of the NSAL sampling and methodology is published elsewhere [55]. Participants were limited to African American youth who resided in US territories at the time of survey. The NSAL-A study measured the race/ethnicity of the youth according to the self-assigned race/ethnicity of the adolescent’s household. Parents who lived in the same households as youth self-identified themselves as African American, being defined as Blacks with no ancestral ties to any Caribbean countries.
The NSAL adolescent sample was drawn from the same households as the NSAL adult samples. The NSAL used a national probability sample of African American households that resided in the US. The NSAL households were screened for eligible youth who were living in the same household. Households with adolescents were randomly selected. When multiple eligible youth were living in the household, two adolescents were enrolled based on their gender.

2.4. Interviews and Data Collection

Interviews were all conducted in English, and took approximately 100 min. The response rate of the NSAL-A was 80.5% for African American youth. About 82% and 18% of the interviews were in-person and by phone, respectively. Face-to-face interviews were conducted in the adolescents’ homes. In-person interviews used computer-assisted personal interviews (CAPIs). CAPI-trained interviewers used computers to conduct interviews. CAPI is a preferred interview method when the questionnaires are complex and long [56].

2.5. Measures and Variables

Demographic information: The study included two demographic variables, namely age and gender. While age was operationalized as a continuous measure, ranging from 13 to 17, gender was treated as a dichotomous factor (female as the reference category).
Family income: The only socioeconomic status (SES) indicator in this study was family income. Family income was asked from the parent and was imputed for missing data. Higher family income was indicative of higher SES.
Perceived teacher discrimination (PTD): The NSAL-A used the following three items to measure PTD. Questions focused on experiences that occurred during the past year in the interaction with teachers at school. Similar to the Everyday Discrimination Scale (EDS) [57], items assess chronic, subtle, routine, and daily discrimination (in contrast to major and overt events) [15,58,59]. The items were: (1) “Your teachers treat you with less respect than other students”, (2) “Your teachers act as if they think you are not smart”, and (3) “Your teachers act as if they are afraid of you”. The response item for each question was on a six-level Likert scale ranging from 1 (never) to 6 (almost every day). A total score was calculated to reflect the frequency of PTD during the past year, ranging from 3 to 18, with a higher score indicating more discrimination by the teachers (α = 0.86).
GPA: The following single item was used to measure GPA—“What kind of grades (do/did) you usually get?” Responses were on a five-item response scale, including (1) Failing Grades; (2) Ds; (3) Cs; (4) Bs; and (5) As. GPA was operationalized as a continuous measure. A higher score reflected a better school performance.

2.6. Statistical Analysis

To adjust for the complex design of the NSAL-A, Stata 15.0 (Stata Corp., College Station, TX, USA) was used for data analysis. The NSAL-A sample lacks independence. Data were weighted to adjust for non-independence as well as the selection probabilities and non-response at the household and individual levels [15]. Taylor expansion approximation was used to re-calculate the design-based variance. Standard errors (SEs) reflect the study weights due to the complex sampling design. We reported frequency and mean (SEs). Missing data were imputed for family income. Sub-pop survey linear regression models were applied for multivariable analyses. In the linear regression models, self-reported grade-point-average was the outcome variable, PTD was the predictor variable, and age, gender, and family income were the covariates. In the first step, the association of interest was calculated in the overall sample of African American youth (Model 1). In the next step, the gender by PTD interaction term was added to the model (Model 2). At the last step, gender-specific models were run for females and males (Model 3 and Model 4). Unstandardized regression coefficients (b), their 95% confidence intervals (CIs), and p-values were reported. p-values smaller than 0.05 were considered significant.

3. Results

3.1. Descriptive Statistics

Table 1 provides a summary of the description of participating African American youth. Male and female African American youth did not differ in PTD. African American males reported lower GPA than African American females (Table 1).

3.2. Linear Multivariable Regression Models

Table 2 shows the results of two linear multivariable regression models in the overall sample of African American youth, with PTD as the predictor variable, GPA as the outcome variable, and gender, age, and family income as the covariates. Model 1 only entered the main effects. Model 2, however, also included the gender by PTD interaction term.
In the overall sample of African American youth, PTD was associated with lower GPA (b = −0.35; 95% CI = −0.49 to −0.22). Gender interacted with PTD (b = 12; 95% CI = 0.24–2.02), suggesting a significant difference in the magnitude of the association between PTD and GPA between male and female youth (Table 2).

3.3. Stratified Linear Regression Models

Table 3 shows a summary of the results for Model 3 and Model 4 which were estimated in females and males, respectively. In stratified models, PTD was associated with school performance for females (b = −12; 95% CI = −0.03 to −2.78) but not males (b = 0.01; 95% CI = −0.07 to 0.08). (Table 3).

4. Discussion

In a national sample of African American youth, the current study showed three major findings: First, males and females reported similar levels of PTD. Second, more PTD was associated with worse GPA among all youth. Third, PTD showed a larger effect on the school performance of females than males.
The findings were unexpected and different from previous studies that have shown stronger effects of discrimination on various outcomes for males than for females. Not many studies have found that girls are harmed to a greater extent by perceived discrimination than boys. Such differences may be in part due to the differences in context, design, sample, sampling, and other methodological aspects across studies.
Very few studies have compared boys and girls for the effect of discrimination on school outcomes of African American youth. In a unique study by Chavous et al. [31], 204 male and 206 female African American adolescents in Grades 8 and 11 were examined. The study showed gender differences in the impact of earlier and later peer discrimination experiences on academic outcomes. For boys but not girls, racial centrality was associated with better school performance. Additionally, boys and girls differed in the moderating effect of racial centrality on the relationship between discrimination and academic outcomes. For boys, higher racial centrality diminished the risk for lower school grades due to experiencing classroom discrimination. For girls, higher racial centrality was protective against the negative impact of peer discrimination on academic constructs. For girls, peer discrimination related positively to academic self-concept in the presence of low race-centrality. Girls and boys also differed in how SES moderated the relationship between perceived discrimination and academic outcomes. The authors suggested that interactions between individual- and contextual-level factors are needed to better understand the role of discrimination on the academic and social development of African American youths [31].
In our study, compared to boys, girls’ school performance showed a larger negative effect due to teacher discrimination. Theories of gender socialization might help us to understand why gender may matter in the effects of social distress and social undermining on various developmental outcomes (e.g., PTD on school performance). Gender is a social construct, and shapes socialization and the differential impact of problematic social relations [60].
The higher sensitivity of girls’ GPA to PTD may be in part because girls’ school performance is better overall (more room for change due to PTD) [61]. Teachers’ expectations are also higher for females than males [62], and thus any decline of these expectations may be more consequential for girls than boys. Another explanation is that girls more commonly engage and rely on the exchange of social support with other members of their social network [63,64,65]. Thus, poor quality of relationship with teachers (due to discrimination) may be more damaging to girls than to boys. The same is shown for supportive relations with parents in prior studies [66].
Social relations have differential effects on the socialization and outcomes of girls and boys [67]. The greater sensitivity of females compared to males to PTD is in line with research showing stronger impact of change in social relations on females than males [68]. However, the results are in contrast to previous studies that suggest males may be more sensitive to discrimination and other types of environmental stress on outcomes such as distress, depression, and substance use [15,19,21,29,69].
A considerable body of literature suggests that gender [21], gender norms [41,48], socioeconomic status [26,69,70,71,72,73], racial identity [9,38,41,43,74,75], and racial attribution [43] change exposure and sensitivity to perceived discrimination. How ambiguous situations are interpreted depend on a wide range of traits and factors such as racial identity that shape the salience of race in day-by-day encounters [27,74]. Masculine ideologies may explain some of the observed findings regarding male gender sensitivity to discrimination [41,48,59,75]. Gender norms that shape beliefs about dominance and hierarchy may make males vulnerable to discrimination [59,75,76]. Males and females also differ in coping strategies and styles [41,77]. While males more frequently use confrontational coping [78], females more commonly use avoidant coping [77]. Compared to females, males more commonly act out their stress and emotions [79,80]. Males also do not use social supports in the same way as females [81].
African American families have major roles in shaping gender differences in sensitivity to discrimination [82,83]. African American parents differently deliver race socialization messages to their sons and daughters [82,83]. The effects of these messages may not be similar for boys and girls [84]. Male and female youth may also differ in peers’ influences [85]. Messages from different sources may ultimately result in a wide range of gender differences in expectation and response to discrimination across settings including schools. Gender differences in socialization may contribute to gender-specific effects of discrimination. While African American parents often tend to provide more race-related messages to their sons than to their daughters [86,87], they should also recognize that their daughters are very vulnerable to PTD.
The finding that male and female African American youth report similar PTD was unexpected. Some theories and empirical reports suggest that males report high exposure to discrimination. The Subordinate Male Target hypothesis suggests that across all ethnic groups, males are subject to more discrimination than females [30]. Thus, social patterning of discrimination not only depends on race/ethnicity, but on the intersection of gender and race/ethnicity as well [88,89]. Thus, it is not the addition of social identities but the multiplication of them that is associated with exposure to discrimination, which is in line with the intersectionality framework [90,91,92,93].
Due to the racial profiling of African American males, African American males experience high levels of threat-based discrimination. Similar findings are reported for other ethnic groups, such as Arab Americans [21], Latinos [44], and Caribbean Blacks [46].
Gender should be regarded as a central construct for studying the effects of racism on child development [35]. In a cross-sectional study among Caribbean Black youth, perceived discrimination was more common among males with darker skin tones. However, skin color did not influence perceived discrimination among females [94]. In other longitudinal studies, male gender was a risk factor for an increase in perceived discrimination over an 18-year follow-up period [88,89].
While research has consistently documented discrimination in racial and ethnic minority populations, far less is known about specific sources of discrimination such as those in various settings and enacted by various perpetrators. In this study, we focused on a particular type of discrimination—teacher discrimination. In our study, African American males and females reported similar levels of discrimination by teachers. However, it was female not male youth who were sensitive to the effects of teacher discrimination on school performance. A large body of evidence shows gendered response to discrimination, but the outcomes that follow discrimination are specific to gender [21,23,30,31,42,44,47].
Studies suggest that among various groups of racial and ethnic minorities, males are at a disadvantage in terms of exposure to discrimination as well as effects of discrimination on depression, distress, and substance use [19,27,36,39,40,41,42,43,44,88,89]. Despite existing policies [95], African American males and females are commonly target of discrimination by institutions such as the educational system, police, the correctional system, as well as the labor market [95]. Teachers also commonly discriminate against African American male and female students [30,31].
Although we did not find a main effect of gender on PTD, the media portrays African American males and females differently. That is, the media shapes different stereotypes against African American boys and girls in the minds of Americans, including teachers. The US media portrays African American males as aggressive and anti-intellectual [40,41,96,97] and African American females as sexual [98]. African American males have been stereotyped as “endangered, aggressive, angry, superhuman, subhuman, lazy, hyperactive, jailed, and paroled, on probation, lost, loveless, incorrigible, or just simply self-destructive” [99,100]. These stereotypes particularly evoke discrimination against African Americans [94].
Among African Americans, discrimination and other environmental stressors may have gender-specific effects, with females developing obesity and eating disorders [45] while males develop substance use and depression [44,96,97,101]. Discrimination has stronger effects on psychological distress [21], depressive and anxiety symptoms [19,20], and major depressive disorder (MDD) [101] for males than females. This study extends the current knowledge by showing that females may be more sensitive to the effects of PTD on school performance.

4.1. Limitations

The current study is not free from methodological limitations. First, the data were old—the data were collected 15 years ago. Still, the NSAL-A is one of the very few nationally representative data sets that are available on African American youth. This study failed to include relevant measures such as attribution, vigilance, personality, identity, and coping that may explain gender differences in the effect of discrimination on various outcomes. We also did not include contextual data from school (e.g., % whites and Blacks at school). The study also failed to collect data on teachers (age, gender, race). Such data could help in clarifying the discrimination pattern. In addition, we did not have any information on the type of school or socioeconomic status of school. The validity of self-reported GPA is well-documented. As a result, despite the limitation in the outcome measurement, this paper still makes a unique contribution to the literature, given the established validity of the outcome variable. Despite these limitations, recruiting a nationally representative sample of African American youth with a large sample size should be regarded as a strength of this study. Our findings contribute to the literature on gender differences in child and academic development [61,102,103,104] among African Americans.

4.2. Implications

All types of discrimination are inhumane [105], as they devalue individuals and diminish peoples’ sense of dignity and pride [106,107]. On top of such profound effects on self-esteem [108], perceived discrimination has other detrimental effects on a wide range of undesired and negative effects on health, well-being, and development [5,6,7,29,34,35,36,37,38]. There are already multiple legislations, laws, and regulations that ban discrimination in all settings [95]. The main problem is not a lack of laws, but that they are not enforced enough [109]. Instead of new policies, there is a need to reinforce existing laws.
Although schools are one of the main contexts for adolescent development [110], they are not the only locations where African American youth are discriminated against. Teacher discrimination should be seen in line with several other systems and institutions that unjustly treat African Americans. African American males disproportionately become targets of police brutality, mass incarceration, and stop and frisk policies and practices [111,112,113,114]. Systems such as school, police, and correctional settings need to introduce new trainings in their system to reduce blunt reactions toward African American youth, particularly those with larger body sizes and darker skin colors [94]. The same may apply to schools, teachers, and principals, who can discriminate against African American youth [115,116,117]. Teacher discrimination may increase the risk of drop out and suspension [118,119,120,121], as well as school performance.
Several measures and interventions can be used to decrease discrimination by school authorities. Increasing the diversity of the teacher pool is one step. White teachers should receive training to reduce implicit and explicit bias against African American students. Schools should receive a specific budget to educate school personnel on bias, racism, prejudice, and discrimination. Schools may make diversity a priority. Zero tolerance for discrimination may also be a step toward reducing the unfair treatment of African American students. Other initiatives with the potential to reduce teacher discrimination should be also explored.

4.3. Future Research

There is a need for studies that decompose actual and enacted discrimination from those which are merely perceived. Research needs to study how gender shapes attribution, vigilance, and identity related to race and ethnicity. There is also a need to study how the development of gender norms shapes experiences of discrimination due to other social identities. Future research should also test how gender is a determinant of actual discrimination by teachers against African American youth. Additional research that uses longitudinal data with multiple observations is needed. Finally, studies should explore whether males’ increased sensitivity to discrimination is due to long-term chronic exposure to discrimination that alters vigilance, racial identity, and coping, or is actually enacted by teachers and principals.

5. Conclusions

Similar to the previous studies on gender differences in exposure and vulnerability to discrimination [19,27,36,39,40,41,42,43,44], the current study revealed gender differences in the effects of teacher discrimination on GPA among African American youth. Being generalizable to the US population, the results suggest that among African American youth, teacher discrimination is common in both males and females, but such discrimination may be a more salient determinant of school performance for females than males. There is a need to reduce racism and discrimination for both genders and at all levels. Programs that reduce teacher discrimination at schools may differently impact the school performance of male and female African American youth.

Author Contributions

The original idea of this analysis was developed by S.A., who also analyzed the data and drafted the paper. C.H.C. was the co-principal investigator of the NSAL-A and contributed to data collection, interpretation of the results, and revisions. Data were downloaded from the University of Michigan ICPSR.

Funding

The NSAL is mostly supported by the National Institute of Mental Health (NIMH), with grant U01-MH57716. Other support came from the Office of Behavioral and Social Science Research at the National Institutes of Health and the University of Michigan. James Jackson was the principal investigator of the NSAL-A. Cleopatra Caldwell is the co-principle investigator of the NSAL-A. Shervin Assari is partially funded by the UCLA BRITE Center which is funded by the National Institute on Minority Health and Health Disparities (4P60MD006923-05; PI = Vickie Mays).

Conflicts of Interest

The author declares no conflict of interest.

References

  1. Hagiwara, N.; Dovidio, J.F.; Eggly, S.; Penner, L.A. The effects of racial attitudes on affect and engagement in racially discordant medical interactions between non-Black physicians and Black patients. Group Process. Intergr. Relat. 2016, 19, 509–527. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Hagiwara, N.; Slatcher, R.B.; Eggly, S.; Penner, L.A. Physician racial bias and word use during racially discordant medical interactions. Health Commun. 2017, 32, 401–408. [Google Scholar] [CrossRef] [PubMed]
  3. Penner, L.A.; Blair, I.V.; Albrecht, T.L.; Dovidio, J.F. Reducing racial health care disparities: A social psychological analysis. Policy Insights Behav. Brain Sci. 2014, 1, 204–212. [Google Scholar] [CrossRef] [PubMed]
  4. Penner, L.A.; Dovidio, J.F.; Gonzalez, R.; Albrecht, T.L.; Chapman, R.; Foster, T.; Harper, F.W.; Hagiwara, N.; Hamel, L.M.; Shields, A.F.; et al. The effects of oncologist implicit racial bias in racially discordant oncology interactions. J. Clin. Oncol. 2016, 34, 2874–2880. [Google Scholar] [CrossRef] [PubMed]
  5. Brown, T.N.; Williams, D.R.; Jackson, J.S.; Neighbors, H.W.; Torres, M.; Sellers, S.L.; Brown, K.T. “Being black and feeling blue”: The mental health consequences of racial discrimination. Race Soc. 2000, 2, 117–131. [Google Scholar] [CrossRef]
  6. Canady, R.B.; Bullen, B.L.; Holzman, C.; Broman, C.; Tian, Y. Discrimination and symptoms of depression in pregnancy among African American and White women. Women Health Issues 2008, 18, 292–300. [Google Scholar] [CrossRef] [PubMed]
  7. Foynes, M.M.; Shipherd, J.C.; Harrington, E.F. Race and gender discrimination in the Marines. Cult. Divers. Ethn. Minor. Psychol. 2013, 19, 111–119. [Google Scholar] [CrossRef] [PubMed]
  8. Odom, E.C.; Vernon-Feagans, L. Buffers of racial discrimination: Links with depression among rural African American mothers. J. Marriage Fam. 2010, 72, 346–359. [Google Scholar] [CrossRef] [PubMed]
  9. Pascoe, E.A.; Smart Richman, L. Perceived discrimination and health: A meta-analytic review. Psychol. Bull. 2009, 135, 531–554. [Google Scholar] [CrossRef] [PubMed]
  10. Schulz, A.J.; Gravlee, C.C.; Williams, D.R.; Israel, B.A.; Mentz, G.; Rowe, Z. Discrimination, symptoms of depression, and self-rated health among African American women in Detroit: Results from a longitudinal analysis. Am. J. Public Health 2006, 96, 1265–1270. [Google Scholar] [CrossRef] [PubMed]
  11. Torres, L.; Ong, A.D. A daily diary investigation of latino ethnic identity, discrimination, and depression. Cult. Divers. Ethn. Minor. Psychol. 2010, 16, 561–568. [Google Scholar] [CrossRef] [PubMed]
  12. Wagner, J.; Abbott, G. Depression and depression care in diabetes relationship to perceived discrimination in African Americans. Diabetes Care 2007, 30, 364–366. [Google Scholar] [CrossRef] [PubMed]
  13. Walker, R.L.; Salami, T.K.; Carter, S.E.; Flowers, K. Perceived racism and suicide ideation: Mediating role of depression but moderating role of religiosity among African American adults. Suicide Life-Threat. Behav. 2014, 44, 548–559. [Google Scholar] [CrossRef] [PubMed]
  14. Banks, K.H.; Kohn-Wood, L.P.; Spencer, M. An examination of the African American experience of everyday discrimination and symptoms of psychological distress. Community Ment. Health J. 2006, 42, 555–570. [Google Scholar] [CrossRef] [PubMed]
  15. Brondolo, E.; Ver Halen, N.B.; Pencille, M.; Beatty, D.; Contrada, R.J. Coping with racism: A selective review of the literature and a theoretical and methodological critique. J. Behav. Med. 2009, 32, 64–88. [Google Scholar] [CrossRef] [PubMed]
  16. Ong, A.D.; Fuller-Rowell, T.; Burrow, A.L. Racial discrimination and the stress process. J. Personal. Soc. Psychol. 2009, 96, 1259–1271. [Google Scholar] [CrossRef] [PubMed]
  17. Utsey, S.O.; Giesbrecht, N.; Hook, J.; Stanard, P.M. Cultural, sociofamilial, and psychological resources that inhibit psychological distress in African Americans exposed to stressful life events and race-related stress. J. Couns. Psychol. 2008, 55, 49–62. [Google Scholar] [CrossRef]
  18. Himmelstein, M.S.; Young, D.M.; Sanchez, D.T.; Jackson, J.S. Vigilance in the discrimination-stress model for Black Americans. Psychol. Health 2015, 30, 253–267. [Google Scholar] [CrossRef] [PubMed]
  19. Assari, S.; Smith, J.R.; Caldwell, C.H.; Zimmerman, M.A. Gender differences in longitudinal links between neighborhood fear, parental support, and depression among African American emerging adults. Societies 2015, 5, 151–170. [Google Scholar] [CrossRef]
  20. Assari, S.; Moazen-Zadeh, E.; Caldwell, C.H.; Zimmerman, M.A. Racial discrimination during adolescence predicts mental health deterioration in adulthood: Gender differences among blacks. Front. Public Health 2017, 5, 104. [Google Scholar] [CrossRef] [PubMed]
  21. Assari, S.; Lankarani, M.M. Discrimination and psychological distress: Gender differences among Arab Americans. Front. Psychiatry 2017, 8, 23. [Google Scholar] [CrossRef] [PubMed]
  22. Broudy, R.; Brondolo, E.; Coakley, V.; Brady, N.; Cassells, A.; Tobin, J.N.; Sweeney, M. Perceived ethnic discrimination in relation to daily moods and negative social interactions. J. Behav. Med. 2007, 30, 31–43. [Google Scholar] [CrossRef] [PubMed]
  23. Assari, S.; Caldwell, C.H. Discrimination and suicidal ideation among black adolescents. Behav. Sci. 2017, 7, 75. [Google Scholar] [CrossRef] [PubMed]
  24. Visser, M.J.; Ikram, U.Z.; Derks, E.M.; Snijder, M.B.; Kunst, A.E. Perceived ethnic discrimination in relation to smoking and alcohol consumption in ethnic minority groups in The Netherlands: The HELIUS study. Int. J. Public Health 2017, 62, 879–887. [Google Scholar] [CrossRef] [PubMed]
  25. Gilbert, P.A.; Zemore, S.E. Discrimination and drinking: A systematic review of the evidence. Soc. Sci. Med. 2016, 161, 178–194. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Otiniano Verissimo, A.D.; Gee, G.C.; Ford, C.L.; Iguchi, M.Y. Racial discrimination, gender discrimination, and substance abuse among Latina/os nationwide. Cult. Divers. Ethn. Minor. Psychol. 2014, 20, 43–51. [Google Scholar] [CrossRef] [PubMed]
  27. Sellers, R.M.; Shelton, J.N. The role of racial identity in perceived racial discrimination. J. Personal. Soc. Psychol. 2003, 84, 1079–1092. [Google Scholar] [CrossRef]
  28. Sutin, A.R.; Terracciano, A. Perceived weight discrimination and obesity. PLoS ONE 2013, 8, e70048. [Google Scholar] [CrossRef] [PubMed]
  29. Brondolo, E.; Brady, N.; Thompson, S.; Tobin, J.N.; Cassells, A.; Sweeney, M.; Contrada, R.J. Perceived racism and negative affect: Analyses of trait and state measures of affect in a community sample. J. Soc. Clin. Psychol. 2008, 27, 150–173. [Google Scholar] [CrossRef] [PubMed]
  30. Ifatunji, M.A.; Harnois, C.E. An Explanation for the gender gap in perceptions of discrimination among African Americans considering the role of gender bias in measurement. Sociol. Race Ethn. 2015, 2, 263–288. [Google Scholar] [CrossRef]
  31. Chavous, T.M.; Rivas-Drake, D.; Smalls, C.; Griffin, T.; Cogburn, C. Gender matters, too: The influences of school racial discrimination and racial identity on academic engagement outcomes among African American adolescents. Dev Psychol. 2008, 44, 637–654. [Google Scholar] [CrossRef] [PubMed]
  32. Felice, L.G. Black student dropout behavior: Disengagement from school rejection and racial discrimination. J. Negro Educ. 1981, 50, 415–424. [Google Scholar] [CrossRef]
  33. Mensch, B.S.; Kandel, D.B. Dropping out of high school and drug involvement. Sociol. Educ. 1988, 61, 95–113. [Google Scholar] [CrossRef]
  34. McLaughlin, K.A.; Hatzenbuehler, M.L.; Keyes, K.M. Responses to discrimination and psychiatric disorders among Black, Hispanic, female, and lesbian, gay, and bisexual individuals. Am. J. Public Health 2010, 100, 1477–1484. [Google Scholar] [CrossRef] [PubMed]
  35. Williams, D.R.; Mohammed, S.A. Discrimination and racial disparities in health: Evidence and needed research. J. Behav. Med. 2009, 32, 20–47. [Google Scholar] [CrossRef] [PubMed]
  36. Seaton, E.K.; Caldwell, C.H.; Sellers, R.M.; Jackson, J.S. The prevalence of perceived discrimination among African American and Caribbean Black youth. Dev. Psychol. 2008, 44, 1288–1297. [Google Scholar] [CrossRef] [PubMed]
  37. Seaton, E.K.; Caldwell, C.H.; Sellers, R.M.; Jackson, J.S. An intersectional approach for understanding perceived discrimination and psychological well-being among African American and Caribbean Black youth. Dev. Psychol. 2010, 46, 1372–1379. [Google Scholar] [CrossRef] [PubMed]
  38. Seaton, E.K.; Neblett, E.W.; Upton, R.D.; Hammond, W.P.; Sellers, R.M. The moderating capacity of racial identity between perceived discrimination and psychological well-being over time among African American youth. Child Dev. 2011, 82, 1850–1867. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Coll, C.G.; Crnic, K.; Lamberty, G.; Wasik, B.H.; Jenkins, R.; Garcia, H.V.; McAdoo, H.P. An integrative model for the study of developmental competencies in minority children. Child Dev. 1996, 67, 1891–1914. [Google Scholar] [CrossRef]
  40. Cunningham, M. African American adolescent males’ perceptions of their community resources and constraints: A longitudinal analysis. J. Community Psychol. 1999, 27, 569–588. [Google Scholar] [CrossRef]
  41. Swanson, D.P.; Cunningham, M.; Spencer, M.B. Black males’ structural conditions, achievement patterns, normative needs, and “opportunities”. Urban Educ. 2003, 38, 608–633. [Google Scholar] [CrossRef]
  42. Assari, S.; Lankarani, M.M. Association between stressful life events and depression; intersection of race and gender. J. Racial Ethn. Health Dispar. 2016, 3, 349–356. [Google Scholar] [CrossRef] [PubMed]
  43. Assari, S.; Watkins, D.C.; Caldwell, C.H. Race attribution modifies the association between daily discrimination and major depressive disorder among blacks: The role of gender and ethnicity. J. Racial Ethn. Health Dispar. 2015, 2, 200–210. [Google Scholar] [CrossRef] [PubMed]
  44. Brodish, A.B.; Cogburn, C.D.; Fuller-Rowell, T.E.; Peck, S.; Malanchuk, O.; Eccles, J.S. Perceived racial discrimination as a predictor of health behaviors: The moderating role of gender. Race Soc. Probl. 2011, 3, 160–169. [Google Scholar] [CrossRef] [PubMed]
  45. Assari, S. Perceived Discrimination and Binge Eating Disorder; Gender Difference in African Americans. J. Clin. Med. 2018, 7, 89. [Google Scholar] [CrossRef] [PubMed]
  46. Assari, S.; Mistry, R.; Caldwell, C.H. Perceived Discrimination and Substance Use among Caribbean Black Youth; Gender Differences. Brain Sci. 2018, 8, 131. [Google Scholar] [CrossRef] [PubMed]
  47. Assari, S. Interaction Between Race and Gender on Implicit Racial Bias Against Blacks. Int. J. Epidemiol. Res. 2018, 5, 43–49. [Google Scholar] [CrossRef]
  48. Caldwell, C.H.; Antonakos, C.L.; Tsuchiya, K.; Assari, S.; De Loney, E.H. Masculinity as a moderator of discrimination and parenting on depressive symptoms and drinking behaviors among nonresident African-American fathers. Psychol. Men Masc. 2013, 14, 47–58. [Google Scholar] [CrossRef]
  49. Rosenbloom, S.R.; Way, N. Experiences of discrimination among African American, Asian American, and Latino adolescents in an urban high school. Youth Soc. 2004, 35, 420–451. [Google Scholar] [CrossRef]
  50. Allen, W. Gender and Campus Race Differences in Black Student Academic Performance, Racial Attitudes and College Satisfaction; Southern Education Foundation: Atlanta, GA, USA, 1986. [Google Scholar]
  51. Browne, I.; Misra, J. The intersection of gender and race in the labor market. Annu. Rev. Sociol. 2003, 29, 487–513. [Google Scholar] [CrossRef]
  52. Taylor, J.Y.; Caldwell, C.H.; Baser, R.E.; Faison, N.; Jackson, J.S. Prevalence of eating disorders among Blacks in the National Survey of American Life. Int. J. Eat. Disord. 2007, 40, 10–14. [Google Scholar] [CrossRef] [PubMed]
  53. Jackson, J.S.; Torres, M.; Caldwell, C.H.; Neighbors, H.W.; Nesse, R.M.; Taylor, R.J.; Trierweiler, S.J.; Williams, D.R. The National Survey of American Life: A study of racial, ethnic and cultural influences on mental disorders and mental health. Int. J. Methods Psychiatr. Res. 2004, 13, 196–207. [Google Scholar] [CrossRef] [PubMed]
  54. Heeringa, S.G.; Wagner, J.; Torres, M.; Duan, N.; Adams, T.; Berglund, P. Sample designs and sampling methods for the Collaborative Psychiatric Epidemiology Studies [CPES]. Int. J. Methods Psychiatr. Res. 2004, 13, 221–240. [Google Scholar] [CrossRef] [PubMed]
  55. Baynes, L.M. If it’s not black and white anymore, why does darkness cast a longer discriminatory shadow than lightness-an investigation and analysis of the color hierarchy. Denver Univ. Law Rev. 1997, 75, 131. [Google Scholar]
  56. Squires, J.E.; Hutchinson, A.M.; Bostrom, A.M.; Deis, K.; Norton, P.G.; Cummings, G.G.; Estabrooks, C.A. A data quality control program for computer-assisted personal interviews. Nurs. Res. Pract. 2012, 2012, 8. [Google Scholar] [CrossRef] [PubMed]
  57. Williams, D.R.; Yu, Y.; Jackson, J.S.; Anderson, N.B. Racial differences in physical and mental health: Socio-economic status, stress and discrimination. J. Health Psychol. 1997, 2, 335–351. [Google Scholar] [CrossRef] [PubMed]
  58. Costas, R., Jr.; Garcia-Palmieri, M.R.; Sorlie, P.; Hertzmark, E. Coronary heart disease risk factors in men with light and dark skin in Puerto Rico. Am. J. Public Health 1981, 71, 614–619. [Google Scholar] [CrossRef] [PubMed]
  59. Clark, R.; Coleman, A.P.; Novak, J.D. Brief report: Initial psychometric properties of the everyday discrimination scale in black adolescents. J. Adolesc. 2004, 27, 363–368. [Google Scholar] [CrossRef] [PubMed]
  60. Brown, G.W.; Harris, T. Social Origins of Depression: A Study of Psychiatric Disorder in Women; Routledge: New York, NY, USA, 2012. [Google Scholar]
  61. Duckworth, A.L.; Seligman, M.E. Self-discipline gives girls the edge: Gender in self-discipline, grades, and achievement test scores. J. Educ. Psychol. 2006, 98, 198. [Google Scholar] [CrossRef]
  62. Auwarter, A.E.; Aruguete, M.S. Effects of student gender and socioeconomic status on teacher perceptions. J. Educ. Res. 2008, 101, 242–246. [Google Scholar] [CrossRef]
  63. Vaux, A. Variations in social support associated with gender, ethnicity, and age. J. Soc. Issues 1985, 41, 89–110. [Google Scholar] [CrossRef]
  64. Belle, D. Gender differences in the social moderators of stress. In Stress and Coping: An Anthology; Monat, A., Lazarus, R.S., Eds.; Columbia University Press: New York, NY, USA, 1991; pp. 258–274. [Google Scholar]
  65. Wood, W.; Eagly, A.H. A cross-cultural analysis of the behavior of women and men: Implications for the origin of sex differences. Psychol. Bull. 2002, 128, 699–727. [Google Scholar] [CrossRef] [PubMed]
  66. Leaper, C.; Anderson, K.J.; Sanders, P. Moderators of gender effects on parents’ talk to their children: A meta-analysis. Dev. Psychol. 1998, 34, 3–27. [Google Scholar] [CrossRef] [PubMed]
  67. Dumka, L.E.; Gonzales, N.A.; Bonds, D.D.; Millsap, R.E. Academic success of Mexican origin adolescent boys and girls: The role of mothers’ and fathers’ parenting and cultural orientation. Sex Roles 2009, 60, 588. [Google Scholar] [CrossRef] [PubMed]
  68. Walen, H.R.; Lachman, M.E. Social support and strain from partner, family, and friends: Costs and benefits for men and women in adulthood. J. Soc. Pers. Relat. 2000, 17, 5–30. [Google Scholar] [CrossRef]
  69. Assari, S.; Caldwell, C.H. Neighborhood safety and major depressive disorder in a national sample of black youth; Gender by ethnic differences. Children 2017, 4, 14. [Google Scholar] [CrossRef] [PubMed]
  70. Assari, S.; Preiser, B.; Caldwell, C.H. High Socioeconomic Status May Increase African American Youth Vulnerability to Discrimination. Children 2017. submitted for publication. [Google Scholar]
  71. Assari, S.; Moghani Lankarani, M.; Caldwell, C.H.; Zimmerman, M.A. Fear of Neighborhood violence during adolescence predicts development of obesity a decade later: Gender differences among African Americans. Arch. Trauma Res. 2016, 5, e31475. [Google Scholar] [CrossRef] [PubMed]
  72. Beatty Moody, D.L.; Waldstein, S.R.; Tobin, J.N.; Cassells, A.; Schwartz, J.C.; Brondolo, E. Lifetime racial/ethnic discrimination and ambulatory blood pressure: The moderating effect of age. Health Psychol. 2016, 35, 333–342. [Google Scholar] [CrossRef] [PubMed]
  73. Hudson, D.L.; Bullard, K.M.; Neighbors, H.W.; Geronimus, A.T.; Yang, J.; Jackson, J.S. Are benefits conferred with greater socioeconomic position undermined by racial discrimination among African American men? J. Men’s Health 2012, 9, 127–136. [Google Scholar] [CrossRef] [PubMed]
  74. Sellers, R.M.; Linder, N.C.; Martin, P.M.; Lewis, R.L. Racial identity matters: The relationship between racial discrimination and psychological functioning in African American adolescents. J. Res. Adolesc. 2006, 16, 187–216. [Google Scholar] [CrossRef]
  75. Smalls, C.; White, R.; Chavous, T.; Sellers, R. Racial ideological beliefs and racial discrimination experiences as predictors of academic engagement among African American adolescents. J. Black Psychol. 2007, 33, 299–330. [Google Scholar] [CrossRef]
  76. Hammond, W.P. Taking it like a man: masculine role norms as moderators of the racial discrimination-depressive symptoms association among African American men. Am. J. Public Health 2012, 102, 232–241. [Google Scholar] [CrossRef] [PubMed]
  77. Thomas, A.J.; Witherspoon, K.M.; Speight, S.L. Gendered racism, psychological distress, and coping styles of African American women. Cult. Divers. Ethn. Minor. Psychol. 2008, 14, 307–314. [Google Scholar] [CrossRef] [PubMed]
  78. Dressler, W.W.; Bindon, J.R.; Neggers, Y.H. John Henryism, gender, and arterial blood pressure in an African American community. Psychosom. Med. 1998, 60, 620–624. [Google Scholar] [CrossRef] [PubMed]
  79. Kramer, M.D.; Krueger, R.F.; Hicks, B.M. The role of internalizing and externalizing liability factors in accounting for gender differences in the prevalence of common psychopathological syndromes. Psychol. Med. 2008, 38, 51–61. [Google Scholar] [CrossRef] [PubMed]
  80. Verma, R.; Balhara, Y.P.; Gupta, C.S. Gender differences in stress response: Role of developmental and biological determinants. Ind. Psychiatry J. 2011, 20, 4–10. [Google Scholar] [PubMed]
  81. Reevy, G.M.; Maslach, C. Use of social support: Gender and personality differences. Sex Roles 2001, 44, 437–459. [Google Scholar] [CrossRef]
  82. Hughes, D.; Rodriguez, J.; Smith, E.P.; Johnson, D.J.; Stevenson, H.C.; Spicer, P. Parents’ ethnic-racial socialization practices: A review of research and directions for future study. Dev. Psychol. 2006, 42, 747. [Google Scholar] [CrossRef] [PubMed]
  83. Hughes, D.; Johnson, D. Correlates in children’s experiences of parents’ racial socialization behaviors. J. Marriage Fam. 2001, 63, 981–995. [Google Scholar] [CrossRef]
  84. Ruiz-Ortiz, R.; Braza, P.; Carreras, R.; Muñoz, J.M. Differential effects of mother’s and father’s parenting on prosocial and antisocial behavior: Child sex moderating. J. Child Fam. Stud. 2017, 26, 2182–2190. [Google Scholar] [CrossRef]
  85. Hoxby, C. Peer Effects in the Classroom: Learning from Gender and Race Variation; National Bureau of Economic Research (No. w7867); National Bureau of Economic: Cambridge, MA, USA, 2000. [Google Scholar]
  86. Bowman, P.J.; Howard, C. Race-related socialization, motivation, and academic achievement: A study of Black youths in three-generation families. J. Am. Acad. Child Psychiatry 1985, 24, 134–141. [Google Scholar] [CrossRef]
  87. Coard, S.I.; Wallace, S.A.; Stevenson, H.C., Jr.; Brotman, L.M. Towards culturally relevant preventive interventions: The consideration of racial socialization in parent training with African American families. J. Child Fam. Stud. 2004, 13, 277–293. [Google Scholar] [CrossRef]
  88. Assari, S.; Gibbons, F.X.; Simons, R.L. Perceived Discrimination among Black Youth: An 18-Year Longitudinal Study. Behav. Sci. 2018, 8, 44. [Google Scholar] [CrossRef] [PubMed]
  89. Assari, S.; Caldwell, C.H. Social determinants of perceived discrimination among black youth: Intersection of ethnicity and gender. Children 2018, 5, 24. [Google Scholar] [CrossRef] [PubMed]
  90. Cole, E.R. Intersectionality and research in psychology. Am. Psychol. 2009, 64, 170. [Google Scholar] [CrossRef] [PubMed]
  91. Burgess-Proctor, A. Intersections of race, class, gender, and crime: Future directions for feminist criminology. Fem. Criminol. 2006, 1, 27–47. [Google Scholar] [CrossRef]
  92. Cho, S.; Crenshaw, K.W.; McCall, L. Toward a field of intersectionality studies: Theory, applications, and praxis. Signs 2013, 38, 785–810. [Google Scholar] [CrossRef]
  93. Nash, J.C. Re-thinking intersectionality. Fem. Rev. 2008, 89, 1–15. [Google Scholar] [CrossRef]
  94. Assari, S.; Caldwell, C.H. Darker Skin Tone Increases Perceived Discrimination among Male but Not Female Caribbean Black Youth. Children 2017, 4, 107. [Google Scholar] [CrossRef] [PubMed]
  95. Assari, S.; Miller, R.J.; Taylor, R.J.; Mouzon, D.; Keith, V.; Chatters, L.M. Discrimination fully mediates the effects of incarceration history on depressive symptoms and psychological distress among African American men. J. Racial Ethn. Health Dispar. 2017, 5, 243–252. [Google Scholar] [CrossRef] [PubMed]
  96. Chavous, T.; Harris, A.; Rivas, D.; Helaire, L.; Green, L. Racial stereotypes and gender in context: An examination of African American college student adjustment. Sex Roles 2004, 51, 1–16. [Google Scholar] [CrossRef]
  97. Van Laar, C.; Sidanius, J. Social status and the academic achievement gap: A social dominance perspective. Soc. Psychol. Educ. 2001, 4, 235–258. [Google Scholar] [CrossRef]
  98. Rosenthal, L.; Lobel, M. Stereotypes of Black American Women Related to Sexuality and Motherhood. Psychol. Women Q. 2016, 40, 414–427. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  99. Stevenson, H.C., Jr. Playing with Anger: Teaching Coping Skills to African American Boys through Athletics and Culture, 1st ed.; Praeger Publishers: Westport, CT, USA, 2003. [Google Scholar]
  100. Murry, V.M.; Block, E.P.; Liu, N. Adjustment and developmental patterns of African American males: The roles of families, communities, and other contexts. In Boys and Men in African American Families; Springer: Cham, Switzerland, 2017; Volume 7, pp. 7–32. [Google Scholar]
  101. Cogburn, C.D.; Chavous, T.M.; Griffin, T.M. School-based racial and gender discrimination among African american adolescents: Exploring gender variation in frequency and implications for adjustment. Race Soc. Probl. 2011, 3, 25–37. [Google Scholar] [CrossRef] [PubMed]
  102. Meece, J.L.; Glienke, B.B.; Burg, S. Gender and motivation. J. Sch. Psychol. 2006, 44, 351–373. [Google Scholar] [CrossRef]
  103. Stobart, G.; Elwood, J.; Quinlan, M. Gender bias in examinations: How equal are the opportunities? Br. Educ. Res. J. 1992, 18, 261–276. [Google Scholar] [CrossRef]
  104. Herbert, J.; Stipek, D. The emergence of gender differences in children’s perceptions of their academic competence. J. Appl. Dev. Psychol. 2005, 26, 276–295. [Google Scholar] [CrossRef]
  105. Krieger, N.; Smith, K.; Naishadham, D.; Hartman, C.; Barbeau, E.M. Experiences of discrimination: Validity and reliability of a self-report measure for population health research on racism and health. Soc. Sci. Med. 2005, 61, 1576–1596. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  106. Waldron, J. Dignity and defamation: The visibility of hate. Harv. Law Rev. 2009, 123, 1596. [Google Scholar]
  107. Armenta, B.E.; Hunt, J.S. Responding to societal devaluation: Effects of perceived personal and group discrimination on the ethnic group identification and personal self-esteem of Latino/Latina adolescents. Group Process. Intergroup Relat. 2009, 12, 23–39. [Google Scholar] [CrossRef]
  108. Umaña-Taylor, A.J.; Updegraff, K.A. Latino adolescents’ mental health: Exploring the interrelations among discrimination, ethnic identity, cultural orientation, self-esteem, and depressive symptoms. J. Adolesc. 2007, 30, 549–567. [Google Scholar] [CrossRef] [PubMed]
  109. Gillborn, D. Critical race theory and education: Racism and anti-racism in educational theory and praxis. Discourse 2006, 27, 11–32. [Google Scholar] [CrossRef]
  110. Eccles, J.S.; Roeser, R.W. Schools as developmental contexts during adolescence. J. Res. Adolesc. 2011, 21, 225–241. [Google Scholar] [CrossRef]
  111. Milner, A.N.; George, B.J.; Allison, D.B. Black and Hispanic men perceived to be large are at increased risk for police frisk, search, and force. PLoS ONE 2016, 11, e0147158. [Google Scholar] [CrossRef] [PubMed]
  112. Thomas, A.; Caldwell, C.H.; Assari, S.; Jagers, R.J.; Flay, B. You do what you see: How witnessing physical violence is linked to violent behavior among male African American adolescents. J. Men Stud. 2016, 24, 185–207. [Google Scholar] [CrossRef]
  113. Araujo-Dawson, B. Understanding the complexities of skin color, perceptions of race, and discrimination among Cubans, Dominicans, and Puerto Ricans. Hisp. J. Behav. Sci. 2015, 37, 243–256. [Google Scholar] [CrossRef]
  114. Ross, C.T. A multi-level Bayesian analysis of racial bias in police shootings at the county-level in the United States, 2011–2014. PLoS ONE 2015, 10, e0141854. [Google Scholar] [CrossRef] [PubMed]
  115. Gilbert, K.L.; Ray, R. Why police kill black males with impunity: Applying Public Health Critical Race Praxis [PHCRP] to address the determinants of policing behaviors and “justifiable” homicides in the USA. J. Urban Health 2016, 93, 122–140. [Google Scholar] [CrossRef] [PubMed]
  116. Mays, V.M.; Johnson, D.; Coles, C.N.; Gellene, D.; Cochran, S.D. Using the science of psychology to target perpetrators of racism and race-based discrimination for intervention efforts: Preventing another Trayvon Martin tragedy. J. Soc. Action Couns. Psychol. 2013, 5, 11–36. [Google Scholar] [PubMed]
  117. Oliver, M.B.; Jackson, R.L.; Moses, N.N.; Dangerfield, C.L. The face of crime: Viewers’ memory of race-related facial features of individuals pictured in the news. J. Commun. 2004, 54, 88–104. [Google Scholar] [CrossRef]
  118. Davis, J.E. Early schooling and academic achievement of African American males. Urban Educ. 2003, 38, 515–537. [Google Scholar] [CrossRef]
  119. Honora, D.T. The relationship of gender and achievement to future outlook among African American adolescents. Adolescence 2002, 37, 301–316. [Google Scholar] [PubMed]
  120. Noguera, P.A. The trouble with Black boys: The role and influence of environmental and cultural factors on the academic performance of African American males. Urban Educ. 2003, 38, 431–459. [Google Scholar] [CrossRef]
  121. Roderick, M. What’s happening to the boys? Early high school experiences and school outcomes among African American male adolescents in Chicago. Urban Educ. 2003, 38, 538–607. [Google Scholar] [CrossRef]
Table
Table 1. Descriptive statistics among African American youth by gender.
Table 1. Descriptive statistics among African American youth by gender.
CharacteristicsAllMalesFemales
Mean95% CIMean95% CIMean95% CI b
Age (years) *15.2115.08–15.3414.8014.59–15.0115.5515.44–15.65
Income ($1000) *0.58−8.08 to 9.251.77−7.23 to 10.77−0.40−8.92 to 8.11
Perceived Teacher Discrimination (PTD)−0.01−0.12 to 0.090.04−0.10 to 0.19−0.07−0.19 to 0.05
Grade Point Average (GPA) *3.683.59–3.773.503.39–3.613.863.78–3.94
* p < 0.05 for comparison of males and females; b CI: confidence interval.
Table
Table 2. Linear multivariable regression models in the overall sample of African American youth.
Table 2. Linear multivariable regression models in the overall sample of African American youth.
CharacteristicsbSE95% CItpbSE95% CItp
Model 1 (Main Effects)Model 1 (Interaction)
Gender (Male)−0.35 ***0.07−0.49−0.22−5.360.000−0.12 *0.04−0.21−0.03−2.740.011
Perceived Teacher Discrimination (PTD)−0.05 *0.02−0.100.00−2.180.0380.020.02−0.030.060.770.447
Age0.020.02−0.020.060.880.3880.000.000.000.001.690.101
Income0.000.000.000.001.640.113−0.35 ***0.06−0.48−0.22−5.440.000
Gender (Male) * Perceived Teacher Discrimination (PTD)------0.12 *0.060.000.242.020.050
Intercept3.58 ***0.312.954.2111.630.0003.61 ***0.302.994.2411.860.000
Outcome—grade point average (GPA); b—regression coefficient; * p < 0.05; ** p < 0.01; *** p < 0.001.
Table
Table 3. Stratified linear regression models in female and male African American youth.
Table 3. Stratified linear regression models in female and male African American youth.
CharacteristicsbSE95% CItpbSE95% CItp
Model 3 (Females)Model 4 (Males)
Perceived Teacher Discrimination−0.12 **0.04−0.21−0.03−2.780.0100.010.04−0.070.080.160.875
Age0.030.03−0.030.091.050.3010.000.02−0.050.050.080.934
Income0.000.000.000.000.970.3400.000.000.000.001.130.268
Intercept3.40 ***0.422.544.268.120.0003.47 ***0.332.794.1610.380.000
Outcome—grade point average (GPA); b—regression coefficient; * p < 0.05; ** p < 0.01; *** p < 0.001.

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Assari, S.; Caldwell, C.H. Teacher Discrimination Reduces School Performance of African American Youth: Role of Gender. Brain Sci. 2018, 8, 183. https://doi.org/10.3390/brainsci8100183

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Assari S, Caldwell CH. Teacher Discrimination Reduces School Performance of African American Youth: Role of Gender. Brain Sciences. 2018; 8(10):183. https://doi.org/10.3390/brainsci8100183

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Assari, Shervin, and Cleopatra Howard Caldwell. 2018. "Teacher Discrimination Reduces School Performance of African American Youth: Role of Gender" Brain Sciences 8, no. 10: 183. https://doi.org/10.3390/brainsci8100183

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