Abstract
Framed by expectancy-value theory (which posits that beliefs about and the subjective valuation of a domain predict achievement and decision-making in that domain), this study examined the relationships among teacher differential treatment and relevant math instruction on African American students’ self-concept of math ability, math task value, and math achievement. These questions were examined by applying structural equation modeling to 618 African American youth (45.6 % female) followed from 7th to 11th grade in the Maryland Adolescent Development in Context Study. While controlling for gender and prior math achievement, relevant math instruction promoted and teacher differential treatment corroded students’ math beliefs and achievement over time. Further, teacher discrimination undermined students’ perceptions of their teachers, a mediating process under-examined in previous inquiry. These findings suggest policy and practice levers to narrow opportunity gaps, as well as foster math achievement and science, technology, engineering and math success.
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Adelman, C. (1999). Answers in the tool box: Academic intensity, attendance patterns, and bachelor’s degree attainment. Washington, DC: Office of Educational Research and Improvement, U.S. Department of Education.
Benner, A. D., Crosnoe, R., & Eccles, J. S. (2015). Schools, peers, and prejudice in adolescence. Journal of Research on Adolescence, 25, 173–188.
Benner, A. D., & Graham, S. (2013). The antecedents and consequences of racial/ethnic discrimination during adolescence: Does the source of discrimination matter? Developmental Psychology, 49(8), 1602.
Byrd, C. M., & Chavous, T. (2011). Racial identity, school racial climate, and school intrinsic motivation among African American youth: The importance of person–context congruence. Journal of Research on Adolescence, 21(4), 849–860.
Canning, E. A., & Harackiewicz, J. M. (2015). Teach it, don’t preach it: The differential effects of directly-communicated and self-generated utility–value information. Motivation Science, 1(1), 47.
Chavous, T. M. (2005). An intergroup contact-theory framework for evaluating racial climate on predominantly white college campuses. American Journal of Community Psychology, 36(3–4), 239–257.
Chavous, T. M., Rivas-Drake, D., Smalls, C., Griffin, T., & Cogburn, C. (2008). Gender matters too: The influence of school racial discrimination and racial identity on academic engagement outcomes among African American adolescents. Developmental Psychology, 44, 637–654.
Clark, L. A., & Watson, D. (1995). Constructing validity: Basic issues in objective scale development. Psychological Assessment, 7(3), 309.
Cogburn, C. D., Chavous, T. M., & Griffin, T. M. (2011). School-based racial and gender discrimination among African American adolescents: Exploring gender variation in frequency and implications for adjustment. Race and Social Problems, 3, 25–37.
Cook, T. D., Herman, M. R., Phillips, M., & Settersten, R. A, Jr. (2002). Some ways in which neighborhoods, nuclear families, friendship groups, and schools jointly affect changes in early adolescent development. Child Development, 73(4), 1283–1309.
Davis-Kean, P. E., Huesmann, L. R., Jager, J., Collins, W. A., Bates, J. E., & Lansford, J. E. (2008). Changes in the relation of self-efficacy beliefs and behaviors across development. Child Development, 79(5), 1257–1269.
Denissen, J. J., Zarrett, N. R., & Eccles, J. S. (2007). I like to do it, I’m able, and I know I am: Longitudinal couplings between domain-specific achievement, self-concept, and interest. Child Development, 78(2), 430–447.
DeVellis, R. F. (2003). Scale development: Theory and applications (2nd ed.). Thousand Oaks, CA: Sage.
Diemer, M. A., Mistry, R., Wadsworth, M. E., López, I., & Reimers, F. (2013). Best practices in conceptualizing and measuring social class in psychological research. ASAP. Analyses of Social Issues and Public Policy, 13(1), 77–113.
Durik, A. M., & Harackiewicz, J. M. (2007). Different strokes for different folks: How individual interest moderates the effects of situational factors on task interest. Journal of Educational Psychology, 99, 597–610.
Durik, A. M., Vida, M., & Eccles, J. S. (2006). Task values and ability beliefs as predictors of high school literacy choices: A developmental analysis. Journal of Educational Psychology, 98(2), 382.
Eccles, J. S. (1994). Understanding women’s educational and occupational choices. Psychology of Women Quarterly, 18(4), 585–609.
Eccles, J. S. (2005). Studying gender and ethnic differences in participation in math, physical science, and information technology. New Directions for Child and Adolescent Development, 2005(110), 7–14.
Eccles, J. S., Adler, T. F., Futterman, R., Goff, S. B., Kaczala, C. M., Meece, J. L., et al. (1983). Achievement and achievement motivation. In J. T. Spence (Ed.), Expectancies, values and academic behaviors (pp. 75–146). San Francisco, CA: WH Freeman.
Eccles, J. S., & Roeser, R. W. (2011). Schools as developmental contexts during adolescence. Journal of Research on Adolescence, 21, 225–241.
Eccles, J. S., & Wigfield, A. (1995). In the mind of the actor: The structure of adolescents’ achievement task values and expectancy-related beliefs. Personality and Social Psychology Bulletin, 21(3), 215–225.
Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), 109–132.
Enders, C. K. (2010). Applied missing data analysis. New York, NY: Guilford Press.
Frank, K. A. (2000). Impact of a confounding variable on a regression coefficient. Sociological Methods & Research, 29(2), 147–194.
Frank, K. A., Muller, C., Schiller, K. S., Riegle-Crumb, C., Mueller, A. S., Crosnoe, R., & Pearson, J. (2008). The social dynamics of mathematics coursetaking in high school. American Journal of Sociology, 113(6), 1645.
Gaspard, H., Dicke, A. L., Flunger, B., Brisson, B. M., Häfner, I., Nagengast, B., & Trautwein, U. (2015). Fostering adolescents’ value beliefs for mathematics with a relevance intervention in the classroom. Developmental Psychology, 51(9), 1226.
Graham, S. (1994). Motivation in african americans. Review of Educational Research, 64(1), 55–117.
Green, C. W., Adams, A. M., & Turner, C. W. (1988). Development and validation of the school interracial climate scale. American Journal of Community Psychology, 16(2), 241–259.
Gutman, L., Eccles, J. S. & Malanchuk, O. (in press). Making it through adolescence: Developmental trajectories of African American and European American youth. Society for Research on Child Development Monographs.
Heck, R. H., & Thomas, S. L. (2015). An introduction to multilevel modeling techniques: MLM and SEM approaches using Mplus. London: Routledge.
Hulleman, C. S., Godes, O., Hendricks, B. L., & Harackiewicz, J. M. (2010). Enhancing interest and performance with a utility value intervention. Journal of Educational Psychology, 102(4), 880.
Hulleman, C. S., & Harackiewicz, J. M. (2009). Promoting interest and performance in high school science classes. Science, 326(5958), 1410–1412.
Jacobs, J. E., Lanza, S., Osgood, D. W., Eccles, J. S., & Wigfield, A. (2002). Changes in children’s self-competence and values: Gender and domain differences across grades one through twelve. Child Development, 73(2), 509–527.
Kline, R. B. (2010). Principles and practice of structural equation modeling: Methodology in the social sciences (3rd ed.). New York, NY: Guilford Press.
Marsh, H. W., Trautwein, U., Ludtke, O., Koller, O., & Baumert, J. (2005). Academic self-concept, interest, grades, and standardized test scores: Reciprocal effects models of causal ordering. Child Development, 76, 397–416.
McArdle, J. J. (2009). Latent variable modeling of differences and changes with longitudinal data. Annual Review of Psychology, 60, 577–605.
McGee, E. O., & Martin, D. B. (2011). “You would not believe what I have to go through to prove my intellectual value!”: Stereotype management among academically successful Black mathematics and engineering students. American Educational Research Journal, 48(6), 1347–1389.
Meece, J. L., Wigfield, A., & Eccles, J. S. (1990). Predictors of math anxiety and its influence on young adolescents’ course enrollment intentions and performance in mathematics. Journal of Educational Esychology, 82(1), 60.
Milner, H. R, I. V. (2006). The promise of Black teachers’ success with Black students. Educational Foundations, 20, 89–104.
Muthén, L. K., & Muthén, B. O. (2010). Mplus user’s guide. Los Angeles, California: Muthén & Muthén.
Newmann, F. M., & Wehlage, G. G. (1993). Five standards of authentic instruction. Educational Eeadership, 50(7), 8–12.
Okeke, N. A., Howard, L. C., Kurtz-Costes, B., & Rowley, S. J. (2009). Academic race stereotypes, academic self-concept, and racial centrality in African American youth. Journal of Black Psychology, 35(3), 366–387.
Pajares, F. (1996). Self-efficacy beliefs in academic settings. Review of Educational Research, 66(4), 543–578.
Pearl, J. (2000). Causality: Models, reasoning and inference. New York: Cambridge University Press.
Rapa, L. J., & Diemer, M. A. (2016, under review). Preparation for bias as a moderator in predicting African American youths’ motivation and academic achievement.
Ryan, A. M., & Patrick, H. (2001). The classroom social environment and changes in adolescents’ motivation and engagement during middle school. American Educational Research Journal, 38(2), 437–460.
Sáinz, M., & Eccles, J. (2012). Self-concept of computer and math ability: Gender implications across time and within ICT studies. Journal of Vocational Behavior, 80(2), 486–499.
Schmitt, N., & Kuljanin, G. (2008). Measurement invariance: Review of practice and implications. Human Resource Management Review, 18(4), 210–222.
Simpkins, S. D., & Davis-Kean, P. E. (2005). The intersection between self-concepts and values: Links between beliefs and choices in high school. New Directions for Child and Adolescent Development, 2005(110), 31–47.
Simpkins, S. D., Davis-Kean, P. E., & Eccles, J. S. (2006). Math and science motivation: A longitudinal examination of the links between choices and beliefs. Developmental Psychology, 42(1), 70.
Steiner, P., Cook, T. D., Shadish, W., & Clark, M. H. (2010). The importance of covariate selection in controlling for selection bias in observational studies. Psychological Methods, 15(3), 250–267.
Trautwein, U., Marsh, H. W., Nagengast, B., Lüdtke, O., Nagy, G., & Jonkmann, K. (2012). Probing for the multiplicative term in modern expectancy–value theory: A latent interaction modeling study. Journal of Educational Psychology, 104(3), 763.
Urdan, T., & Schoenfelder, E. (2006). Classroom effects on student motivation: Goal structures, social relationships, and competence beliefs. Journal of School Psychology, 44(5), 331–349.
Wang, M. T., & Degol, J. (2013). Motivational pathways to STEM career choices: Using expectancy–value perspective to understand individual and gender differences in STEM fields. Developmental Review, 33(4), 304–340.
Wang, M. T., & Eccles, J. S. (2014). Multilevel predictors of math classroom climate: A comparison study of student and teacher perceptions. Journal of Research on Adolescence. doi:10.1111/jora.12153.
Watt, H. M. (2004). Development of adolescents’ self-perceptions, values, and task perceptions according to gender and domain in 7th-through 11th-grade Australian students. Child Development, 75(5), 1556–1574.
Watt, H. M. (2006). The role of motivation in gendered educational and occupational trajectories related to math. Educational Research and Evaluation, 12(4), 305–322.
Wigfield, A. (1994). Expectancy–value theory of achievement motivation: A developmental perspective. Educational Psychology Review, 6, 49–78.
Wigfield, A., & Eccles, J. S. (1992). The development of achievement task values: A theoretical analysis. Developmental Review, 12(3), 265–310.
Wigfield, A., & Eccles, J. S. (2000). Expectancy–value theory of achievement motivation. Contemporary Educational Psychology, 25(1), 68–81.
Wigfield, A., Eccles, J. S., Fredricks, J. A., Simpkins, S., Roeser, R. W., & Schiefele, U. (2015). Development of achievement motivation and engagement. Handbook of Child Psychology and Developmental Science, 3, 657.
Wong, C. A., Eccles, J. S., & Sameroff, A. (2003). The influence of ethnic discrimination and ethnic identification on African American adolescents’ school and socioemotional adjustment. Journal of Personality, 71, 1197–1232.
Acknowledgments
The first and fourth authors were supported by a grant from the National Science Foundation (#110878), awarded to PIs Jacquelynne S. Eccles and Oksana Malanchuk. Thank you to Allison Ryan for her helpful and insightful comments on an earlier version of this manuscript.
Author Contributions
MD conceived of the study, coordinated and conducted data analyses, and coordinated writing; AM conducted data analyses, contributed to the conceptual framework and to writing; SM contributed to the conceptual framework and to writing; OM contributed to writing and interpretation of analyses.
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This research was approved by the human subjects review board at the University of Michigan.
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Informed consent is not applicable to this secondary analysis of publicly available data, the Maryland Adolescent Development in Context Study (MADICS).
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Diemer, M.A., Marchand, A.D., McKellar, S.E. et al. Promotive and Corrosive Factors in African American Students’ Math Beliefs and Achievement. J Youth Adolescence 45, 1208–1225 (2016). https://doi.org/10.1007/s10964-016-0439-9
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DOI: https://doi.org/10.1007/s10964-016-0439-9