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Your query returned 163 citations.

3.
2015
Lee, Se Woong,  Min, Sookweon,  Mamerow, Geoffrey P . Pygmalion in the classroom and the home: Expectation's role in the pipeline to STEMM. Teachers College Record. 117, (9), 1-40.
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4.
2014
Wray-Lake, Laura,  Rote, Wendy M.,  Benavides, Celina M.,  Victorino, Christine . Examining developmental transitions in civic engagement across adolescence: Evidence from a national U.S. sample. International Journal of Developmental Science. 8, (3-4), 95-104.
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5.
2014
Ing, Marsha . Gender differences in the differences in the influence of early perceived parental support on student mathematics and science achievement and STEM career attainment. International Journal of Science and Mathematics Education. 5, (5), 1221-1239.
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6.
2014
8.
2013
Miller, Jon D. Lifelong Learning: Generation X llustrates the New Reality. The Generation X Report: A Quarterly Research Report from the Longitudinal Study of American Youth. 3, Ann Arbor, MI: University of Michigan, International Center for the Advancement of Scientific Literacy.
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9.
2012
Fuchs, Bruce A.,  Miller, Jon D. Pathways to careers in medicine and health. Peabody Journal of Education. 87, (1), 62-76.
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10.
2012
Kimmel, Linda G.,  Miller, Jon D.,  Eccles, Jacquelynne S. Do the paths to STEMM professions differ by gender?. Peabody Journal of Education. 87, (1), 92-113.
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11.
2012
Pearson, Willie,  Miller, Jon D. Pathways to an engineering career. Peabody Journal of Education. 87, (1), 46-61.
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12.
2012
Solberg, V.,  Scott,  Kimmel, Linda G.,  Miller, Jon D. Pathways to STEMM Support Occupations. Peabody Journal of Education. 87, (1), 77-91.
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13.
2012
Miller, Jon D.,  Kimmel, Linda G. Pathways to a STEMM profession. Peabody Journal of Education. 87, (1), 26-45.
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14.
2012
Schmidt, William H. Measuring content through textbooks: The cumulative effect of middle-school tracking. From Text to 'Lived' Resources. Dordrecht: Springer Netherlands.
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15.
2012
Miller, Jon D.,  Solberg, V. Scott . The composition of the STEMM workforce: Rationale for differentiating STEMM professional and STEMM support careers. Peabody Journal of Education. 87, (1), 6-15.
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16.
2012
Miller, Jon D.,  Pearson, Willie . Pathways to STEMM professions for students from noncollege homes. Peabody Journal of Education. 87, (1), 114-132.
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17.
2011
Muthen, B.,  Asparouhov, T. Beyond multilevel regression modeling: Multilevel analysis in a general latent variable framework. Handbook of Advanced Multilevel Analysis. New York, NY: Routledge.
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18.
2011
Graham, Suzanne E.,  Kurlaender, Michal . Using propensity scores in educational research: General principles and practical applications. Journal of Educational Research. 104, (5), 340-353.
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19.
2010
McDonald, Stefanie R.,  Ing, Marsha,  Marcoulides, George A. An investigation of early parental motivational strategies on mathematics achievement by ethnicity: A latent curve model approach. Educational Research and Evaluation. 16, (5), 401-419.
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20.
2010
Newton, Xiaoxia A. End-of-high-school mathematics attainment: How did students get there? . Teachers College Record. 112, (4), 1064-1095.
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21.
2010
Graham, Suzanne E. Using propensity scores to reduce selection bias in mathematics education research. Journal for Research in Mathematics Education. 41, (2), 147-168.
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22.
2010
McGuire, L. Practical Formulations of the Latent Growth Item Response Model. Dissertation, University of California, Berkeley.
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23.
2010
24.
2010
Ma, Xin . Effects of early acceleration of students in mathematics on taking advanced mathematics coursework in high school. Investigations in Mathematics Learning. 3, (1), 43-63.
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25.
2010
Hong, Sehee,  Yoo, Sung-Kyung,  You, Sukkyung,  Wu, Chih-Chun . The reciprocal relationship between parental involvement and mathematics achievement: Autoregressive cross-lagged modeling. Journal of Experimental Education. 78, (4), 419-439.
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26.
2010
Baraldi, Amanda N.,  Enders, Craig K. An introduction to modern missing data analyses. Journal of School Psychology. 48, (1), 5-37.
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27.
2010
Lindberg, Sara M.,  Hyde, Janet Shibley,  Petersen, Jennifer L.,  Linn, Marcia C. New trends in gender and mathematics performance: A meta-analysis. Psychological Bulletin. 136, (6), 1123-1135.
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28.
2009
Graham, S.E.,  Singer, J.D.,  Willett, J.B. . Modeling individual change over time. The Sage Handbook of Quantitative Methods in Psychology. London: Sage.
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29.
2008
30.
2008
Kaplan, David . Structural Equation Modeling: Foundations and Extensions. Thousand Oaks, CA: Sage Publications.
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31.
2008
Tian, M.,  Wu, X.,  Li, Y.,  Zhou, P. An analysis of mathematics and science achievements of American youth with nonparametric quantile regression. Journal of Data Science. 6, 449-465.
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32.
2008
Maozai, T.,  Xizhi, W.,  Yuan, L.,  Pengpeng, Z. Longitudinal study of the external pressure effects on children?s mathematics and science achievements using nonparametric quantile regression. Chinese Journal of Applied Probability and Statistics. 24, (3), 327-336.
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33.
2008
Ma, X.,  Johnson, W. Mathematics as the critical filter: Curricular effects on gendered career choices. Gender and Ocupational Outcomes: Longitudinal Assessments of Individual, Social, and Cultural Influences. Washington, DC: American Psychological Association.
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34.
2007
Ma, X.,  Wilkins, J.L.M. . Mathematics coursework regulates growth in mathematics achievement. Journal for Research in Mathematics Education. 38, (3), 230
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35.
2006
Graham, Suzanne E.,  Singer, Judith D. Using discrete-time survival analysis to study gender differences in leaving mathematics. Real Data Analysis. Charlotte, NC: Information Age Publishing.
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36.
2006
Byrne, Barbara M. Structural Equation Modeling With Eqs: Basic Concepts, Applications, and Programming. Mahwah, NJ: Lawrence Erlbaum.
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37.
2006
George, Rani . A cross-domain analysis of change in students' attitudes toward science and attitudes about the utility of science. International Journal of Science Education. 28, (6), 571-589.
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39.
2006
Klein, A.G.,  Muthen, B.O. . Modeling heterogeneity of latent growth depending on initial status. Journal of Educational and Behavioral Statistics. 31, (4), 357-375.
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40.
2006
Ma, X. Cognitive and affective changes as determinants for taking advanced mathematics courses in high school. American Journal of Education. 113, (1), 123
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41.
2005
Ma, X. Growth in mathematics achievement: Analysis with classification and regression trees. Journal of Educational Research. 99, (2), 78-86.
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43.
2005
Restivo, Sal . Science, Technology, and Society: An Encyclopedia. Oxford, England: Oxford University Press.
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45.
2005
Choi, Kilchan,  Seltzer, Michael . Modeling Heterogeneity in Relationships between Initial Status and Rates of Change: Latent Variable Regression in a Three-Level Hierarchical Model. CSE Report 647. Los Angeles, CA: National Center for Research on Education.
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46.
2005
Kaplan, D. Finite mixture dynamic regression modeling of panel data with implications for dynamic response analysis. Journal of Educational and Behavioral Statistics. 30, (2), 169-187.
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47.
2005
48.
2005
Sirin, Selcuk R. Socioeconomic status and academic achievement: A meta-analytic review of research. Review of Educational Research. 75, 417-453.
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49.
2005
Xie, Yu,  Shauman, Kimberlee A. Women in Science: Career Processes and Outcomes. Cambridge, MA: Harvard University Press.
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50.
2004
Ma, X.,  Xu, J. The causal ordering of mathematics anxiety and mathematics achievement: A longitudinal panel analysis. Journal of Adolescence. 27, (2), 165
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