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While the present study contributes to the literature on the potential mechanisms by which teaching quality can promote math identity through math expectancies and task values in both European American and African American students, there are likely several limitations to my work. First, this study only examines sixth grade students. Adolescence covers a large age range so my generalizability to other grades of students is limited. Future research should examine this psychological mechanism in a broad range of adolescents.

Additionally, for each measure, only student perspectives are considered. It may be concerning that teacher practices included in teacher quality are the measures of student perceptions of each teacher practice. There may be a mismatch between student perceptions of teacher practices and the actual presence of teacher practices in the classroom. Furthermore, there may be monomethod bias—the same individual is reporting for all variables and this may influence the estimated associations between constructs. Future research should utilize multiple reporters (e.g., teacher report) or methods (e.g., classroom observation) to measure teacher practices to eliminate potential sources for perception bias. Lastly, although we controlled for students’ prior math achievement, the main psychological constructs (e.g., motivation, math identity) utilized in this study are mainly cross-sectional. Future research should adopt

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longitudinal methodology; for example, analyzing the development of math identity over time may provide more insight into the mechanisms by which teaching quality impacts math identity.

Despite these limitations, this study expands our understanding of math identity development in middle school students. Teachers are crucial for promoting math identity development; specifically, teachers’ use of sensitivity, quality of feedback, and instructional learning formats can impact students’ math identity development through their expectancies and task values. This may be especially important for African American students who are typically stigmatized against in mathematics. This improved understanding of the relations between teaching quality, motivation, and math identity is essential. This can inform math teachers’ teaching practices to promote math motivation, identity, and achievement, not only for all students but also especially for those stigmatized. Schools seeking to improve math

performance, especially in their minority or stereotyped students, should consider professional development seminars to improve the teaching practices of sensitivity, quality of feedback, and instructional learning supports to improve math identity and achievement.

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BIBLIOGRAPHY

Akey, T. M. (2006). School context, student attitudes, and behavior, and academic achievement: An exploratory analysis. Retrieved from http://mdrc.org/sites/default/files/full_519.pdf. Anderman, E.M. & Maher, M.L. (1994). Motivation and schooling in the middle grades. Review

of Educational Research, 64, 287-309.

Andersen, L., & Ward, T. J. Expectancy-value models for the STEM persistence plans of ninth- grade, high-ability students: A comparison between Black, Hispanic, and White students. Science Education, 98, 216-242.

Anderson, R. (2007). Being a mathematics learner: Four faces of identity. The Mathematics Educator, 17(1), 7-14. Retrieved from http://files.eric.ed.gov/fulltext/EJ841557.pdf. Atwater, M. M., Wiggins, J., & Gardner, C. M. (1995). A study of urban middle school students

with high and low attitudes toward science. Journal of Research in Science Teaching, 32, 665-677.

Baumeister, R.F. & Leary, M.R. (1995). The need to belong: Desire for interpersonal

attachments as a fundamental human motivation. Psychological Bulletin, 117, 497-529. Bennett, C. E. (1976) Student’s race, social class, and academic history as determinants of

teacher expectation of student performance. Journal of Black Psychology, 3, 71-86. Berry, R. Q. (2008). Access to upper-level mathematics: The stories of African American middle

school boys who are successful with school mathematics. Journal for Research in Mathematics Education, 39, 464-488.

Berry III, R. Q., Thunder, K. & McClain, O. L. (2011). Counter narratives: Examining the mathematics and racial identities of Black boys who are successful with school mathematics. Journal of African American Males in Education, 2, 10-23.

Boykin, A. W., Tyler, K. M., & Miller, O. (2005). In search of cultural themes and their

expressions in the dynamics of classroom life. School Psychology Review, 21, 586-596. Brophy, J. (1986). Classroom management techniques. Education and Urban Society, 18,182-

38

Butler, R. (1987). Task-involving and ego-involving properties of evaluation: Effects of different feedback conditions on motivational perceptions, interest, and performance. Journal of Educational Psychology, 79, 474 -482.

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, 849–860.

Casteel, C. A. (1998). Teacher–student interactions and race in integrated classrooms. The Journal of Educational Research, 92, 115-120.

Chang, D. F. & Demyan, A. L. (2007). Teachers' stereotypes of Asian, Black, and White students. School Psychology Quarterly, 22, 91-114.

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.

Childs, D. S. (2017). Effects of Math Identity and Learning Opportunities on Racial Differences in Math Engagement, Advanced Course-Taking, and STEM Aspiration. (Doctoral dissertation). Retrieved from PsycInfo. (UMI 10270092).

Civil Rights Data Collection. (2013). 2009-2010 National Estimates (Rep.). Retrieved from http://ocrdata.ed.gov/StateNationalEstimations.

Conley, A. M. (2012) Patterns of motivation beliefs: Combining achievement goal and expectancy-value perspectives. Journal of Educational Psychology, 104, 32-47. Cotton, K. (2000). The schooling practices that matter most. Portland, OR & Alexandria, VA:

Northwest Regional Educational Laboratory, & Association for Supervision and Curriculum Development.

Cribbs, J.D., Hazari, Z., Sonnert, G., & Sadler, P.M. (2015). Establishing an explanatory model for mathematics identity. Child Development, 86, 1048-4062. doi: 10.111/cdev.12363. Darragh, L. (2013). Constructing confidence and identities of belonging in mathematics at the

transition to secondary school. Research in Mathematics Education, 15, 215-229. doi: 10.1080/14794802.2013.803775.

Davidson, A. L. (1999). Negotiating social differences: Youths’ assessments of educators’ strategies. Urban Education, 34, 338-369.

Downer, J. T., Stuhlman, M., Schweig, J., Martínez, J. F., & Ruzek, E. (2015). Measuring effective teacher-student interactions from a student perspective: A multi-level analysis. The Journal of Early Adolescence, 35, 722-758.

39

Eccles, J. S. (2009), Who am I and what am I going to do with my life? Personal and collective identities as motivators of action. Educational Psychologist, 44.

Eccles, J. S. & Midgley, C. (1989). Stage-environment fit: Developmentally appropriate

classrooms for early adolescents. In R. Ames & C. Ames (Eds.), Research on motivation in education. New York, NY: Academic Press.

Eccles, J. S., Midgley, C., Wigfield, A., Buchanan, C. M., Reuman, D., Flanagan, C. & Mac Iver, D. (1993). Development during adolescence: The impact of stage-environment fit on adolescents’ experiences in schools and families. American Psychologist, 48, 90-101. Eccles, J.S. & Roeser, R.W. (2011). Schools as developmental context 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' academic achievement related-beliefs and self-perceptions. Personality and Social Psychology Bulletin, 21, 215-225.

Eccles, J.S., Wigfield, A., & Schiefele, U. (1997). Motivation to succeed. W. Damon & N. Eisenberg (Eds.). New York, NY: Wiley.

Eccles-Parsons, J. S., Adler, T. F., Futterman, R., Goff, S. B., Kaczala, C. M., Meece, J. L., & Midgley, C. (1983). Expectancies, values, and academic behaviors. In J. T. Spence (Ed.), Achievement and achievement motives: Psychological and sociological approaches (pp. 75-146). San Francisco, CA: W. H. Freeman.

Ferguson, R. F., & Mehta, J. (2004). An unfinished journey: the legacy of Brown and the narrowing of the achievement gap. doi: 10.2307/i20189399.

Flake, J. K., Barron, K. E., Hulleman, C., Mccoach, D. B., & Welsh, M. E. (2015). Measuring cost: The forgotten component of expectancy-value theory. Contemporary Educational

Psychology, 41. doi: 10.1016/j.cedpsych.2015.03.002.

Franke, M. L., Kazemi, E. & Battey, D. (2007). Mathematics teaching and classroom practice. In K.F. Lester (Ed.), Second Handbook of research on mathematics teaching and learning (2nd ed.) Charlotte, NC: Information Age Publishing.

Frenzel, A.C., Pekrun, R., Dicke, A.L., & Goetz, T. (2012). Beyond quantitative decline:

conceptual shifts in adolescents’ development of interest in mathematics. Developmental Psychology, 48, 1069-1082. doi: 10.1037/a0026895.

Froschl, M. & Sprung, B. (2016). Furthering Girls’ Math Identity: The Key to Girls’ Math Success, Childhood Education, 92, 320-323.

40

mathematics: Developing a model. Goos, M., Brown, R., & Makar, K. (Eds.) Proceedings of the 31st Annual Conference of the Mathematics Education Research Group of

Australasia. Brisbane: St. Lucia.

Guo, J., Nagengast, B., Marsh, H.W., Kelava, A., Gaspard, H., Brandt, H.,…Trautwein, U. (2016). Probing the unique contributions of self-concept, task values, and their

interactions using multiple value facets and multiple academic outcomes. AERA Open, 2, 1-20. doi: 10.1177/2332858415626884.

Hakim, K. (2014) When mathematics works in black: A case study of effective mathematics instruction for African American children. (Doctoral dissertation) Retrieved from PsycInfo. (UMI 3619266).

Hayenga, A. M., & Corpus, J. H. (2010). Profiles of intrinsic and extrinsic motivations: A

person-centered approach to motivation and achievement in middle school. Motivation & Emotion, 34, 371-383.

Hayes, C. B., Ryan, A., & Zseller, E. B. (1994). The middle school child’s perceptions of caring teachers. American Journal of Education, 103, 1-19.

Hazari, Z., Sonnert, G., Sadler, P. M., & Shanahan, M. C. (2010). Connecting high school

physics experiences, outcome expectations, physics identity, and physics career choice: A gender study. Journal of Research in Science Teaching, 47, 978-1003. doi:

10.1002/tea.20363.

Jencks, C., & Phillips, M. (Eds.). (1998). The Black–White test score gap. Washington, DC, US: Brookings Institution Press.

Kosovich, J. J., Hulleman, C., Barron, K.E., & Getty, S. (2015). A practical measure of student motivation: establishing validity evidence for the expectancy-value-cost scale in middle school. The Journal of Early Adolescence, 35, 790-816.

Kukla, A. (1972) Foundations of an attributional theory of performance. Psychological Review, 79, 454-470.

Long, J. F., Monoi, S., Knoblauch, B. H., & Murphy, K. (2007). Academic motivation and achievement among urban adolescents. Urban Education, 42, 196-222.

Maltese, A.V. & Tai, R. H. (2011). Pipeline persistence: Examining the association of educational experiences with earned degrees in STEM among U.S. students. Science Education Policy, 95, 877-907. doi: 10.1002/sce.20441.

Marchant, G.J., Paulson, S. E., & Rothlisberg, B.A. (2001). Relations of middle school students’ perceptions of family and school contexts with academic achievement. Psychology in the Schools, 38, 505-519.

41

Marks, H.M. (2000). Student engagement in instructional activity: Patterns in the elementary, middle, and high school years. American Educational Research Journal, 37, 153-184. doi: 10.3192/0002831203700153.

Martin, D. (2009). Mathematics teaching, learning, and liberation in the lives of Black children. London: Routledge.

Martin, D.B. (2012) Learning mathematics while black. Educational Foundations, 47-66. Retrieved from http://files.eric.ed.gov/fulltext/EJ968817.pdf.

Master, A., Cheryan, S., and Meltzoff, A.N. (2016) Motivation and identity. In Wentzel, K.R. & Miele, D.B. (Eds.), Educational Psychology Handbook: Handbook of Motivation at School (pp. 300-319). Berlin, DE: Routledge.

McClelland, D. C., Atkinson, J. W., Clark, R. A., & Lowell, E. L. (1953). Century psychology series. The achievement motive. East Norwalk, CT: Appleton-Century-Crofts.

McGee, E. O. & Pearman II, F. A. (2014). Understanding Black male mathematics high achievers from the inside out: Internal risk and protective factors in high school. The Urban Review, 47, 513-540.

Miller, S.A. (2013). Developmental research methods (4th ed.) Los Angeles, CA: SAGE Publications, Inc.

Muthén, L.K. and Muthén, B.O. (2010). Mplus user’s guide. (6th ed.). Los Angeles, CA: Muthén & Muthén.

Nasir, N. S. (2008). Culture and mathematics in school: Boundaries between "cultural" and "domain" knowledge in the mathematics classroom and beyond. Review of Research in Education 32, 187-240.

Nasir, N.S., Cabana, C., Shreve, B., Woodbury, E., & Louie, N. (Eds.) (2014). Mathematics for equity: A framework for successful practice. New York, NY: Teachers College Press. National Assessment of Educational Progress. (2011). The nation’s report card: The official site

for results from the National Assessment of Educational Progress (NAEP). Grade 12 National science results 2009. Retrieved from http://nationsreportcard.gov/ science_2009/ g12_nat.asp?subtab_id1⁄4Tab_1&tab_id1⁄4tab2#tabsContainer.

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, 366-387.

Perez, T., Cromley, J.G., & Kaplan, A. (2014). The role of identity development, values, and costs in college STEM retention. Journal of Educational Psychology, 106, 315-329. doi: 10.1037/a00340027.

42

Pianta, R. C., & Hamre, B. K. (2009). Conceptualization, measurement, and improvement of classroom processes: Standardized observation can leverage capacity. Educational Researcher, 38, 109–119.

Pianta, R.C., Hamre, B.K., & Allen, J.P. (2012). Teacher-student relationships and engagement: Conceptualizing, measuring, and improving the capacity of classroom interactions. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.). Handbook of research on student engagement (pp. 365-386). New York: Springer.

Pianta, R. C., La Paro, K., & Hamre, B. K. (2008). Classroom Assessment Scoring System (CLASS). Baltimore: Paul H. Brookes.

Raphael, L. M., Pressley, M. & Mohan, L. (2008). Engaging instruction in middle school classrooms: An observational study of nine teachers. The Elementary School Journal, 109, 61-81. doi: 10.1086/592367.

Rivera-Batiz, F. L. (1992). Quantitative literacy and the likelihood of employment among young adults in the United States. Journal of Human Resources, 27, 313–328.

Rjosk, C., Richter, D., Hochweber, J., Ludtke, O., & Stanat, P. (2015). Classroom composition and language minority students ’motivation in language lessons. Journal of Educational Psychology, 107, 1171-1185.

Roeser, R., & Eccles, J.S., & Sameroff, A.J. (1998). School as a context of social-emotional development: Selected findings from the Maryland adolescent growth in context study. Paper presented at the biennial meeting of the Society for Research on Adolescence, San Diego, CA.

Ross, S. I. & Jackson, J. M. (1991) Teachers’ expectations for Black males’ and Black females’ academic achievement. Personality and Social Psychology Bulletin, 17, 78-82.

Ryan, R.M. & Deci, E.L. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 35, 68-78.

Schunk, D. H., Pintrich, P. R., & Meece, J. L. (2008). Motivation in education: Theory, research, and applications. Upper Saddle River, NJ: Merrill Prentice Hall.

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, 70–83.

Slavin, R.E., Lake, C., & Groff, C. (2009). Effective programs in middle and high school mathematics: A best-evidence synthesis. Review of Educational Research, 79, 839-911.

43

Smokowski, P. R., Reynolds, A. J., & Bezruckzo, N. (2000). Resilience and protective factors in adolescence: An autobiographical perspective from disadvantaged youth. Journal of School Psychology, 37, 425-448.

Stevenson, H. W., Chen, C, & Uttal, D. H. (1990). Beliefs and achievement: A study of Black, White, and Hispanic children. Child Development, 61, 508-523.

Trautwein, U., Marsh, H.W., Nagengast, B., Ludtke, 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, 763-777. doi:10.1037/a0027470.

Tyler, K. M., Boykin, A. W., & Walton, T. R. (2006) Cultural considerations in teachers’ perceptions of student classroom behavior and achievement. Teaching and Teacher Education, 22, 998-1005.

Vincent Ruz, P., Dorph, R., Binning, K. R., & Schunn, C. D. (2017, April). The experiences and malleable factors that support the development of science identity in middle school students. Symposium talk presented at 2017 AERA Annual Meeting, San Antonio, TX. Walton, G.M. & Cohen, G.L (2011). A brief social belonging intervention improves academic and health outcomes of minority students. Science, 331. doi: 10.1126/science.1198364. Wang, M.T. (2012) Educational and career interests in math: A longitudinal examination of the

links between perceived classroom environment, motivational beliefs and interests. Developmental Psychology, 48, 1643-1657.

Wang, M. T., & Degol, J. (2013). Staying engaged: Knowledge and research needs in student engagement. Child Development Perspectives, 8, 137-143.

Wang, M.T. & Eccles, J. S. (2012). Adolescent behavioral, emotional, and cognitive engagement trajectories in school and their differential relations to educational success. Journal of Research on Adolescence, 22, 31-39.

Wang, M.T., & Eccles, J. S. (2013). School context, achievement motivation, and academic engagement: A longitudinal study of school engagement using a multidimensional perspective. Learning and Instruction, 28, 12-23.

Wentzel, K. (2004). Understanding classroom competence: The role of social-motivational and self-processes. In Kail, R. (Ed.) Advances in child development. New York, NY: Elsevier. White, R. W. (1959) Motivation reconsidered: The concept of competence. Psychological

Review, 66, 197-333.

Wigfield, A., & Cambria, J. (2010). Expectancy-value theory: retrospective and prospective. In S. Karabenick & T. C. Urdan (Eds), The Decade Ahead: Theoretical Perspectives on

44

Motivation and Achievement (Advances in Motivation and Achievement, Volume 16), Emerald Group Publishing Limited, pp. 35-70.

Wigfield, A., Tonks, S., & Klauda, S. L. (2016). Expectancy-value theory. In K. R. Wenzel & A. Wigfield (Eds.), Handbook of Motivation at School (pp. 77-104). New York, NY US: Routledge/Taylor & Francis Group.

Yair, G. 2000. Reforming motivation: How the structure of instruction affects students’ learning experiences. British Educational Journal, 26, 191–210.

Yeager, D.S. & Dweck, C.S. (2012) Mindsets that promote resilience: When students believe that personal characteristics can be developed. Educational Psychologist, 47, 302-314. doi: 10.1080/00461520.2012.722805.

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