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Are Whites and minorities more similar than different? Testing the cultural similarities hypothesis on psychopathology with a second-order meta-analysis

Published online by Cambridge University Press:  21 September 2018

José M. Causadias ,
Kevin M. Korous  and
Karina M. Cahill
José M. Causadias*
Affiliation:
Arizona State University
Kevin M. Korous
Affiliation:
Arizona State University
Karina M. Cahill
Affiliation:
Arizona State University
*
Address correspondence and reprint requests to: José M. Causadias, T. Denny Sanford School of Social and Family Dynamics, Arizona State University, Cowden Family Resources Building, 850 South Cady Mall, Tempe, AZ 85281; E-mail: [email protected].
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Abstract

The cultural differences hypothesis is the assertion that there are large differences between Whites and racial/ethnic minorities in the United States, while there are small differences between- (e.g., African Americans and Latinos) and within- (e.g., Latinos: Mexican Americans and Cuban Americans) minority groups. Conversely, the cultural similarities hypothesis argues that there are small differences between Whites and minorities, and these differences are equal or smaller in magnitude than differences between and within minorities. In this study, we conducted a second-order meta-analysis focused on psychopathology, to (a) test these hypotheses by estimating the absolute average difference between Whites and minorities, as well as between and within minorities, on levels of psychopathology, and (b) determine if general and meta-analytic method moderators account for these differences. A systematic search in PsycINFO, Web of Science, and ProQuest Dissertations identified 16 meta-analyses (13% unpublished) on 493 primary studies (N = 3,036,749). Differences between Whites and minorities (d+ = 0.23, 95% confidence interval [0.18, 0.28]), and between minorities (d+ = 0.30, 95% confidence interval [0.12, 0.48]) were small in magnitude. White–minority differences remained small across moderators. These findings support the cultural similarities hypothesis. We discuss their implications and future research directions.

Type
Special Issue Articles
Information
Development and Psychopathology , Volume 30 , Special Issue 5: Cultural Development and Psychopathology , December 2018 , pp. 2009 - 2027
Copyright
Copyright © Cambridge University Press 2018 

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Footnotes

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. We thank Deborah Casper, Blair Johnson, Alan Sroufe, Emily Tanner-Smith, and Rebecca White for their feedback on an earlier version of this manuscript.

References

REFERENCES

Adams, G., & Markus, H. R. (2004). Toward a conception of culture suitable for a social psychology of culture. In Schaller, M. & Crandall, C. S. (Eds.), Psychological foundations of culture (pp. 335–360). Mahwah, NJ: Erlbaum.Google Scholar
Arnett, J. J. (2008). The neglected 95%: Why American psychology needs to become less American. American Psychologist, 63, 602–614. doi:10.1037/0003-066X.63.7.602Google Scholar
Bainter, S. A., & Curran, P. J. (2015). Advantages of integrative data analysis for developmental research. Journal of Cognition and Development, 16, 1–10. doi:10.1080/15248372.2013.871721Google Scholar
Becker, B. J. (2000). Multivariate meta-analysis. In Tinsley, H. E. A. & Brown, S. D. (Eds.), Handbook of applied multivariate statistics and mathematical modeling (pp. 499–525). San Diego, CA: Academic Press.Google Scholar
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to meta-analysis. London: Wiley.Google Scholar
Bryc, K., Durand, E. Y., Macpherson, J. M., Reich, D., & Mountain, J. L. (2015). The genetic ancestry of African Americans, Latinos, and European Americans across the United States. American Journal of Human Genetics, 96, 37–53. doi:10.1016/j.ajhg.2014.11.010Google Scholar
Card, N. A. (2012). Applied meta-analysis for social science research. New York: Guilford Press.Google Scholar
Case, A., & Deaton, A. (2017). Mortality and morbidity in the 21st century. Brookings Papers on Economic Activity Conference Drafts, March 23–24, 2017. Retrieved from https://www.brookings.edu/wp-content/uploads/2017/03/6_casedeaton.pdfGoogle Scholar
Causadias, J. M. (2013). A roadmap for the integration of culture into developmental psychopathology. Development and Psychopathology, 25(4, Pt. 2), 1375–1398. doi:10.1017/S0954579413000679Google Scholar
Causadias, J. M., Telzer, E. H., & Gonzales, N. A. (2018). Introduction to culture and biology interplay. In Causadias, J. M., Telzer, E. H., & Gonzales, N. A. (Eds.), The handbook of culture and biology (pp. 3–29). New York: Wiley.Google Scholar
Causadias, J. M., Telzer, E. H., &, Lee, R. M. (2017). Culture and biology interplay: An introduction. Cultural Diversity and Ethnic Minority Psychology, 23, 1–4. doi:10.1037/cdp0000121Google Scholar
Causadias, J. M., Updegraff, K. A., & Overton, W. F. (in press). Moral meta-narratives, marginalization, and youth development. American Psychologist. doi:10.1037/amp0000252Google Scholar
Causadias, J. M., Vitriol, J. A., & Atkin, A. L. (2018a). Do we overemphasize the role of culture in the behavior of racial/ethnic minorities? Evidence of a cultural (mis)attribution bias in American psychology. American Psychologist, 73, 243–255. doi:10.1037/amp0000099Google Scholar
Causadias, J. M., Vitriol, J. A., & Atkin, A. L. (2018b). The cultural (mis)attribution bias in developmental psychology in the United States. Journal of Applied Developmental Psychology. Advance online publication. doi:10.1016/j.appdev.2018.01.003Google Scholar
Chen, X., & Liu, C. H. (2016). Culture, peer relationships, and developmental psychopathology. In Cicchetti, D. (Ed.), Developmental psychopathology: Risk, resilience, and intervention (pp. 723–769). Hoboken, NJ: Wiley.Google Scholar
Cicchetti, D. (1984). The emergence of developmental psychopathology. Child Development, 55, 1–7. doi:10.2307/1129830Google Scholar
Cicero, T. J., Ellis, M. S., Surratt, H. L., & Kurtz, S. P. (2014). The changing face of heroin use in the United States: A retrospective analysis of the past 50 years. JAMA Psychiatry, 71, 821–826. doi:10.1001/jamapsychiatry.2014.366Google Scholar
Cohen, D., & Nisbett, R. E. (1994). Self-protection and the culture of honor: Explaining southern violence. Personality and Social Psychology Bulletin, 20, 551–567. doi:10.1177/0146167294205012Google Scholar
Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155–159. doi:10.1037/0033-2909.112.1.155Google Scholar
Coley, R. L., Sims, J., Dearing, E., & Spielvogel, B. (2017). Locating economic risks for adolescent mental and behavioral health: Poverty and affluence in families, neighborhoods, and schools. Child Development. Advance online publication. doi:10.1111/cdev.12771Google Scholar
Comfort, N. (2014). Genetics: Under the skin. Nature, 513, 306–307. doi:10.1038/513306aGoogle Scholar
Cooper, S. M., Brown, C., Metzger, I., Clinton, Y., & Guthrie, B. (2013). Racial discrimination and African American adolescents’ adjustment: Gender variation in family and community social support, promotive and protective factors. Journal of Child and Family Studies, 22, 15–29. doi:10.1007/s10826-012-9608-yGoogle Scholar
Cumming, G. (2013). The new statistics: Why and how. Psychological Science, 25, 7–29. doi:10.1177/0956797613504966Google Scholar
Del Giudice, M., Booth, T., & Irwing, P. (2012). The distance between Mars and Venus: Measuring global sex differences in personality. PLOS ONE, 7, e29265. doi:10.1371/journal.pone.0029265Google Scholar
DiPietro, S. M., & Bursik, R. J. (2012). Studies of the new immigration: The dangers of pan-ethnic classifications. Annals of the American Academy of Political and Social Science, 641, 247–267. doi:10.1177/0002716211431687Google Scholar
Duncan, G. J., Magnuson, K., & Votruba-Drzal, E. (2017). Moving beyond correlations in assessing the consequences of poverty. Annual Review of Psychology, 68, 413–434. doi:10.1146/annurev-psych-010416-044224Google Scholar
Elam, K. K., Wang, F. L., Bountress, K., Chassin, L., Pandika, D., & Lemery-Chalfant, K. (2016). Predicting substance use in emerging adulthood: A genetically informed study of developmental transactions between impulsivity and family conflict. Development and Psychopathology, 28, 673–688. doi:10.1017/s0954579416000249Google Scholar
Eriksen, T. H. (2002). Ethnicity and nationalism: Anthropological perspectives. London: Pluto Press.Google Scholar
Flores, G., & Tomany-Korman, S. C. (2008). Racial and ethnic disparities in medical and dental health, access to care, and use of services in US children. Pediatrics, 121, e286–e298. doi:10.1542/peds.2007-1243Google Scholar
*Foldes, H. J., Duehr, E. E., & Ones, D. S. (2008). Group differences in personality: Meta-analyses comparing five U.S. racial groups. Personnel Psychology, 61, 579–616. doi:10.1111/j.1744-6570.2008.00123.xGoogle Scholar
Francis, G. (2013). Replication, statistical consistency, and publication bias. Journal of Mathematical Psychology, 57, 153–169. doi:10.1016/j.jmp.2013.02.003Google Scholar
Fuller, B., & García Coll, C. (2010). Learning from Latinos: Contexts, families, and child development in motion. Developmental Psychology, 46, 559–565. doi:10.1037/a0019412Google Scholar
García Coll, C., Akerman, A., & Cicchetti, D. (2000). Cultural influences on developmental processes and outcomes: Implications for the study of development and psychopathology. Development and Psychopathology, 12, 333–374. doi:10.1017/s0954579400003059Google Scholar
García Coll, C., Crnic, K., Lamberty, G., Wasik, B. H., Jenkins, R., Garcia, H. V., & McAdoo, H. P. (1996). An integrative model for the study of developmental competencies in minority children. Child Development, 67, 1891–1914. doi:10.1111/j.1467-8624.1996.tb01834.xGoogle Scholar
Gaylord-Harden, N. K., Burrow, A. L., & Cunningham, J. A. (2012). A cultural-asset framework for investigating successful adaptation to stress in African American youth. Child Development Perspectives, 6, 264–271. doi:10. 1111/j.1750-8606.2012.00236.xGoogle Scholar
Gaylord-Harden, N. K., & Cunningham, J. A. (2009). The impact of racial discrimination and coping strategies on internalizing symptoms in African American youth. Journal of Youth and Adolescence, 38, 532–543. doi:10.1007/s10964-008-9377-5Google Scholar
Gee, G. C., & Payne-Sturges, D. C. (2004). Environmental health disparities: A framework integrating psychosocial and environmental concepts. Environmental Health Perspectives, 112, 1645–1653. doi:10.1289/ehp.7074Google Scholar
Givens, M., Gennuso, K., Jovaag, A., & Van Dijk, J. W. (2017). 2017 County Health Rankings: Key findings report. Madison, WI: University of Wisconsin Population Health Institute. Retrieved from http://www.county-healthrankings.org/reports/2017-county-health-rankings-key-findings-reportGoogle Scholar
Gjerde, P. F. (2004). Culture, power, and experience: Toward a person-centered cultural psychology. Human Development, 47, 138–157. doi:10.1159/000077987Google Scholar
Gjerde, P. F. (2014). An evaluation of ethnicity research in developmental psychology: Critiques and recommendations. Human Development, 57, 176–205. doi:10.1159/000362768Google Scholar
Gjerde, P. F., & Onishi, M. (2000). In search of theory: The study of “ethnic groups” in developmental psychology. Journal of Research on Adolescence, 10, 289–298. doi:10.1207/sjra1003_2Google Scholar
*Grabe, S., & Hyde, J. S. (2006). Ethnicity and body dissatisfaction among women in the United States: A meta-analysis. Psychological Bulletin, 132, 622–640. doi:10.1037/0033-2909.132.4.622Google Scholar
Hahn, S., Williamson, P. R., Hutton, J. L., Garner, P., & Flynn, E. V. (2000). Assessing the potential for bias in meta-analysis due to selective reporting of subgroup analyses within studies. Statististics in Medicine, 19, 3325–3336. doi:10.1002/1097-0258(20001230)19:24<3325::AID-SIM827>3.0.CO;2-D3.0.CO;2-D>Google Scholar
*Hall, G. C. N., Bansal, A., & Lopez, I. R. (1999). Ethnicity and psychopathology: A meta-analytic review of 31 years of comparative MMPI/MMPI-2 research. Psychological Assessment, 11, 186–197. doi:10.1037/1040-3590.11.2.186Google Scholar
Han, S., & Ma, Y. (2014). Cultural differences in human brain activity: A quantitative meta-analysis. NeuroImage, 99, 293–300. doi:10.1016/j.neuroimage.2014.05.062Google Scholar
Hedges, L. V., Tipton, E., & Johnson, M. C. (2010). Robust variance estimation in meta-regression with dependent effect size estimates. Research Synthesis Methods, 1, 39–65. doi:10.1002/jrsm.5Google Scholar
Higgins, J. P. T., & Green, S. (2011). Cochrane handbook for systematic reviews of interventions (Vol. 4). New York: Wiley.Google Scholar
Higgins, J. P. T., Lane, P. W., Anagnostelis, B., Anzures-Cabrera, J., Baker, N. F., Cappelleri, J. C., … Whitehead, A. (2013). A tool to assess the quality of a meta-analysis. Research Synthesis Methods, 4, 351–366. doi:10.1002/jrsm.1092Google Scholar
Hornburg, C. B., Wang, L., & McNeil, N. M. (2018). Comparing meta-analysis and individual person data analysis using raw data on children's understanding of equivalence. Child Development. Advance online publication. doi:10.1111/cdev.13058Google Scholar
Hyde, J. S. (2005). The gender similarities hypothesis. American Psychologist, 60, 581–592. doi:10.1037/0003-066X.60.6.581Google Scholar
Hyde, J. S. (2014). Gender similarities and differences. Annual Review of Psychology, 65, 373–398. doi:10.1146/annurev-psych-010213-115057Google Scholar
Ioannidis, J. (2016). The mass production of redundant, misleading, and conflicted systematic reviews and meta-analyses. Milbank Quarterly, 94, 485–514. doi:10.1111/1468-0009.12210Google Scholar
Ioannidis, J. P., Munafo, M. R., Fusar-Poli, P., Nosek, B. A., & David, S. P. (2014). Publication and other reporting biases in cognitive sciences: Detection, prevalence, and prevention. Trends in Cognitive Sciences, 18, 235–241. doi:10.1016/j.tics.2014.02.010Google Scholar
Johnson, B. T., Scott-Sheldon, L. A. J., & Carey, M. P. (2010). Meta-synthesis of health behavior change meta-analyses. American Journal of Public Health, 100, 2193–2198. doi:10.2105/ajph.2008.155200Google Scholar
*Kim, G., DeCoster, J., Huang, C.-H., & Chiriboga, D. A. (2011). Race/ethnicity and the factor structure of the Center for Epidemiologic Studies Depression Scale: A meta-analysis. Cultural Diversity and Ethnic Minority Psychology, 17, 381–396. doi:10.1037/a0025434Google Scholar
Kim-Spoon, J., Cicchetti, D., & Rogosch, F. A. (2013). A longitudinal study of emotion regulation, emotion lability-negativity, and internalizing symptomatology in maltreated and nonmaltreated children. Child Development, 84, 512–527. doi: 10.1111/j.1467-8624.2012.01857.xGoogle Scholar
Kitayama, S., & Uskul, A. K. (2011). Culture, mind, and the brain: Current evidence and future directions. Annual Review of Psychology, 62, 419–449. doi:10.1146/annurev-psych-120709-145357Google Scholar
Korous, K. M., Causadias, J. M., & Casper, D. M. (2017). Racial discrimination and cortisol output: A meta-analysis. Social Science & Medicine, 193, 90–100. doi:10.1016/j.socscimed.2017.09.042Google Scholar
Lewontin, R. C. (1972). The apportionment of human diversity. Evolutionary Biology, 6, 381–398. doi:10.1007/978-1-4684-9063-3_14Google Scholar
Magnusson, K. (2018). Interpreting Cohen's d effect size: An interactive visualization. Retrieved from http://rpsychologist.com/d3/cohend/Google Scholar
*McCoy, W. K., & Edens, J. F. (2006). Do Black and White youths differ in levels of psychopathic traits? A meta-analysis of the Psychopathy Checklist measures. Journal of Consulting and Clinical Psychology, 74, 386–392. doi:10.1037/0022-006X.74.2.386Google Scholar
McLoyd, V. C. (1990). Minority children: Introduction to the special issue. Child Development, 61, 263. doi:10.1111/j.1467-8624.1990.tb02777.xGoogle Scholar
McLoyd, V. C. (2004). Linking race and ethnicity to culture: Steps along the road from inference to hypothesis testing. Human Development, 47, 185–191. doi:10.1159/000077990Google Scholar
Moreno-Estrada, A., Gignoux, C. R., Fernández-López, J. C., Zakharia, F., Sikora, M., Contreras, A. V., … Ortiz-Tello, P. (2014). The genetics of Mexico recapitulates Native American substructure and affects biomedical traits. Science, 344, 1280–1285. doi:10.1126/science.1251688Google Scholar
Medin, D., Bennis, W., & Chandler, M. (2010). Culture and the home-field disadvantage. Perspectives on Psychological Science, 5, 708–713. doi:10.1177/1745691610388772Google Scholar
National Center for Health Statistics. (2016). Health, United States, 2015: Special feature on racial and ethnic health disparities. Retrieved on December 5, 2017, from https://www.cdc.gov/nchs/data/hus/hus15.pdfGoogle Scholar
*Nelson, C. L. III. (2014). Race and depressive outcome differences on the Children's Depression Inventory: A meta-analysis. (Unpublished doctoral dissertation, Spalding University).Google Scholar
Nosek, B. A., Alter, G., Banks, G. C., Borsboom, D., Bowman, S. D., Breckler, S. J., … Contestabile, M. (2015). Promoting an open research culture. Science, 348, 1422–1425. doi:10.1126/science.aab2374Google Scholar
Obasi, E. M., Wilborn, K. A., Cavanagh, L., Yan, S., & Ewane, E. (2018). Neurobiology of stress and drug use vulnerability in culturally diverse communities. In Causadias, J. M., Telzer, E. H., & Gonzales, N. A. (Eds.), The handbook of culture and biology (pp. 369–396). New York: Wiley.Google Scholar
*O'Neill, S. K. (2003a). African American women and eating disturbances: A meta-analysis. Journal of Black Psychology, 29, 3–16. doi:10.1177/0095798402239226Google Scholar
*O'Neill, S. K. (2003b). Body image among women of color and White women: A meta-analysis. (Unpublished doctoral dissertation, State University of New York at Albany).Google Scholar
1000 Genomes Project Consortium. (2012). An integrated map of genetic variation from 1,092 human genomes. Nature, 491, 56–65. doi:10.1038/nature11632Google Scholar
Ouzzani, M., Hammady, H., Fedorowicz, Z., & Elmagarmid, A. (2016). Rayyan—A web and mobile app for systematic reviews. Systematic Reviews, 5, 1–10. doi:10.1186/s13643-016-0384-4Google Scholar
Phinney, J. S. (1990). Ethnic identity in adolescents and adults: A review of research. Psychological Bulletin, 108, 499–514. doi:10.1037//0033-2909.108.3.499Google Scholar
*Pinquart, M., & Sörensen, S. (2005). Ethnic differences in stressors, resources, and psychological outcomes of family caregiving: A meta-analysis. Gerontologist, 45, 90–106. doi:10.1093/geront/45.1.90Google Scholar
Poortinga, Y. H. (2016). Integration of basic controversies in cross-cultural psychology. Psychology & Developing Societies, 28, 161–182. doi:10.1177/0971333616657169Google Scholar
Qu, Y., & Telzer, E. H. (2017). Cultural differences and similarities in beliefs, practices, and neural mechanisms of emotion regulation. Cultural Diversity and Ethnic Minority Psychology, 23, 36–44. doi:10.1037/cdp0000112Google Scholar
Quintana, S. M., Aboud, F. E., Chao, R. K., Contreras-Grau, J., Cross, W. E., Hudley, C., … Vietze, D. L. (2006). Race, ethnicity, and culture in child development: Contemporary research and future directions. Child Development, 77, 1129–1141. doi:10.1111/j.1467-8624.2006.00951.xGoogle Scholar
Reboussin, B. A., Preisser, J. S., Song, E. Y., & Wolfson, M. (2010). Geographic clustering of underage drinking and the influence of community characteristics. Drug and Alcohol Dependence, 106, 38–47. doi:10.1111/ j.1530-0277.2011.01491.xGoogle Scholar
Roberts, M. E., Doogan, N. J., Kurti, A. N., Redner, R., Gaalema, D. E., Stanton, C. A., … Higgins, S. T. (2016). Rural tobacco use across the United States: How rural and urban areas differ, broken down by census regions and divisions. Health Place, 39, 153–159.Google Scholar
Romo, L. F., Mireles-Rios, R., & Lopez-Tello, G. (2014). Latina mothers’ and daughters’ expectations for autonomy at age 15 (La Quinceañera). Journal of Adolescent Research, 29, 271–294. doi:10.1177/0743558413477199Google Scholar
Rosenthal, R. (1990). How are we doing in soft psychology? American Psychologist, 45, 775–777. doi:10.1037/0003-066x.45.6.775Google Scholar
*Ruiter, M. E., DeCoster, J., Jacobs, L., & Lichstein, K. L. (2010). Sleep disorders in African Americans and Caucasian Americans: A meta-analysis. Behavioral Sleep Medicine, 8, 246–259. doi:10.1080/15402002.2010.509251Google Scholar
Sawilowsky, S. S. (2009). New effect size rules of thumb. Journal of Modern Applied Statistical Methods, 8, 597–599. doi:10.22237/jmasm/1257035100Google Scholar
Schmidt, F. L., & Oh, I.-S. (2013). Methods for second order meta-analysis and illustrative applications. Organizational Behavior and Human Decision Processes, 121, 204–218. doi:10.1016/j.obhdp.2013.03.002Google Scholar
Schmitt, M. T., Branscombe, N. R., Postmes, T., & Garcia, A. (2014). The consequences of perceived discrimination for psychological well-being: A meta-analytic review. Psychological Bulletin, 140, 921–948. doi:10.1037/a0035754Google Scholar
Serafica, F. C., & Vargas, L. A. (2006). Cultural diversity in the development of child psychopathology. In Cicchetti, D. & Cohen, D. J. (Eds.), Developmental psychopathology: Vol. 1. Theory and method (2nd ed., pp. 588–626). Hoboken, NJ: Wiley.Google Scholar
*Skeem, J. L., Edens, J. F., Camp, J., & Colwell, L. H. (2004). Are there ethnic differences in levels of psychopathy? A meta-analysis. Law and Human Behavior, 28, 505–527. doi:10.1023/b:lahu.0000046431.93095.d8Google Scholar
Skinner, M. L., Shirtcliff, E. A., Haggerty, K. P., Coe, C. L., & Catalano, R. F. (2011). Allostasis model facilitates understanding race differences in the diurnal cortisol rhythm. Development and Psychopathology, 23, 1167–1186. doi:10.1017/s095457941100054xGoogle Scholar
Small, M. L., & Newman, K. (2001). Urban poverty after the truly disadvantaged: The rediscovery of the family, the neighborhood, and culture. Annual Review of Sociology, 27, 23–45. doi:10.1146/annurev.soc.27.1.23Google Scholar
Song, E. Y., Reboussin, B. A., Foley, K. L., Kaltenbach, L. A., Wagoner, K. G., & Wolfson, M. (2009). Selected community characteristics and underage drinking. Substance Use & Misuse, 44, 179–194. doi:10.1080/10826080802347594Google Scholar
Spencer, M. B., Dupree, D., & Hartmann, T. (1997). A phenomenological variant of ecological systems theory (PVEST): A self-organization perspective in context. Development and Psychopathology, 9, 817–833. doi:10.1017/s0954579497001454Google Scholar
Spencer, M. B., & Markstrom–Adams, C. (1990). Identity processes among racial and ethnic minority children in America. Child Development, 61, 290–310. doi:10.2307/1131095Google Scholar
Sroufe, L. A. (1990). Considering normal and abnormal together: The essence of developmental psychopathology. Development and Psychopathology, 2, 335–347. doi:10.1017/S0954579400005769Google Scholar
Sroufe, L. A. (1997). Psychopathology as an outcome of development. Development and Psychopathology, 9, 251–268. doi:10.1017/S0954579497002046Google Scholar
Steenbergen-Hu, S., Makel, M. C., & Olszewski-Kubilius, P. (2016). What one hundred years of research says about the effects of ability grouping and acceleration on K–12 students’ academic achievement. Review of Educational Research, 86, 849–899. doi:10.3102/0034654316675417Google Scholar
Stein, B. D., Jaycox, L. H., Kataoka, S., Rhodes, H. J., & Vestal, K. D. (2003). Prevalence of child and adolescent exposure to community violence. Clinical Child and Family Psychology Review, 6, 247–264. doi:10.1023/B:CCFP.0000006292.61072.d2Google Scholar
Tamim, R. M., Bernard, R. M., Borokhovski, E., Abrami, P. C., & Schmid, R. F. (2011). What forty years of research says about the impact of technology on learning: A second-order meta-analysis and validation study. Review of Educational Research, 81, 4–28. doi:10.3102/0034654310393361Google Scholar
Tanner-Smith, E. E., & Tipton, E. (2014). Robust variance estimation with dependent effect sizes: Practical considerations including a software tutorial in Stata and SPSS. Research Synthesis Methods, 5, 13–30. doi:10.1002/jrsm.1091Google Scholar
*Tarricone, I., Stivanello, E., Poggi, F., Castorini, V., Marseglia, M. V., Fantini, M. P., & Berardi, D. (2012). Ethnic variation in the prevalence of depression and anxiety in primary care: A systematic review and meta-analysis. Psychiatry Research, 195, 91–106. doi:10.1016/j.psychres.2011.05.020Google Scholar
*Twenge, J. M., & Nolen-Hoeksema, S. (2002). Age, gender, race, socioeconomic status, and birth cohort difference on the children's depression inventory: A meta-analysis. Journal of Abnormal Psychology, 111, 578–588. doi:10.1037//0021-843X.111.4.578Google Scholar
Umaña-Taylor, A. J., & Fine, M. A. (2001). Methodological implications of grouping Latino adolescents into one collective ethnic group. Hispanic Journal of Behavioral Sciences, 23, 347–362. doi:10.1177/0739986301234001Google Scholar
Umaña-Taylor, A. J., Quintana, S. M., Lee, R. M., Cross, W. E., Rivas-Drake, D., Schwartz, S. J., … Seaton, E. (2014). Ethnic and racial identity during adolescence and into young adulthood: An integrated conceptualization. Child Development, 85, 21–39. doi:10.1111/cdev.12196Google Scholar
Umaña-Taylor, A. J., Updegraff, K. A., & Gonzales-Backen, M. A. (2011). Mexican-origin adolescent mothers’ stressors and psychosocial functioning: Examining ethnic identity affirmation and familism as moderators. Journal of Youth and Adolescence, 40, 140–157. doi:10.1007/s10964-010-9511-zGoogle Scholar
Viding, E., & McCrory, E. J. (2012). Genetic and neurocognitive contributions to the development of psychopathy. Development and Psychopathology, 24, 969–983. doi:10.1017/s095457941200048xGoogle Scholar
*Vincent, G. M., Grisso, T., Terry, A., & Banks, S. (2008). Sex and race differences in mental health symptoms in juvenile justice: The MAYSI-2 national Meta-Analysis. Journal of the American Academy of Child & Adolescent Psychiatry, 47, 282–290. doi:10.1097/chi.0b013e318160d516Google Scholar
Wade, N. (2014). A troublesome inheritance: Genes, race and human history. New York: Penguin Books.Google Scholar
Walsh, D., & Downe, S. (2005). Meta-synthesis method for qualitative research: A literature review. Journal of Advanced Nursing, 50, 204–211. doi:10.1111/j.1365-2648.2005.03380.xGoogle Scholar
Wang, Q. (2016). Why should we all be cultural psychologists? Lessons from the study of social cognition. Perspectives on Psychological Science, 11, 583–596. doi:10.1177/1745691616645552Google Scholar
*Wildes, J. E., Emery, R. E., & Simons, A. D. (2001). The roles of ethnicity and culture in the development of eating disturbance and body dissatisfaction: A meta-analytic review. Clinical Psychology Review, 21, 521–551. doi:10.1016/s0272-7358(99)00071-9Google Scholar
Wilson, E. O. (1978). On human nature. Cambridge, MA: Harvard University Press.Google Scholar
Winegard, B., Winegard, B., & Boutwell, B. (2017). Human biological and psychological diversity. Evolutionary Psychological Science, 3, 159–180. doi:10.1007/s40806-016-0081-5Google Scholar
*Woody, S. R., Miao, S., & Kellman-McFarlane, K. (2015). Cultural differences in social anxiety: A meta-analysis of Asian and European heritage samples. Asian American Journal of Psychology, 6, 47–55. doi:10.1037/a0036548Google Scholar
Zell, E., Krizan, Z., & Teeter, S. R. (2015). Evaluating gender similarities and differences using metasynthesis. American Psychologist, 70, 10–20. doi:10.1037/a0038208Google Scholar
Zou, L. X., & Cheryan, S. (2017). Two axes of subordination: A new model of racial position. Journal of Personality and Social Psychology, 112, 696–717. doi:10.1037/pspa0000080Google Scholar