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Pub. Year
Citation
2012
Fuchsa, Bruce A.,  Miller, Jon D. Pathways to careers in medicine and health. Peabody Journal of Education. 87, (1), 62-76.
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2008
2008
Kaplan, David . Structural Equation Modeling: Foundations and Extensions. Thousand Oaks, CA: Sage Publications.
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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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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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2006
Byrne, Barbara M. Structural Equation Modeling With Eqs: Basic Concepts, Applications, and Programming. Mahwah, NJ: Lawrence Erlbaum.
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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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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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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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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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2005
Restivo, Sal . Science, Technology, and Society: An Encyclopedia. Oxford, England: Oxford University Press.
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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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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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2005
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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2004
Wu, C-C. The Educational Aspirations and High School Students' Academic Growth: A Hierarchical Linear Growth Model. Dissertation, University of California-Santa Barbara.
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2004
Ma, X.,  Xu, J. Determining the causal ordering between attitude toward mathematics and achievement in mathematics. American Journal of Education. 110, (3), 256
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2004
Muthén, Bengt O. Latent variable analysis: Growth mixture modeling and related techniques for longitudinal data. The Sage Handbook of Quantitative Methodology for the Social Sciences. Thousand Oaks, CA: Sage Publications.
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2004
2003
Seltzer, Michael,  Choi, Kilchan,  Thum, Yeow Meng . Examining relationships between where students start and how rapidly they progress: Using new developments in growth modeling to gain insight into the distribution of achievement within schools. Educational Evaluation and Policy Analysis. 25, (3), 263-286.
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2003
Choi, Kilchan,  Seltzer, Michael . Addressing Questions Concerning Equity in Longitudinal Studies of School Effectiveness and Accountability: Modeling Heterogeneity in Relationships Between Initial Status and Rates of Change. CSE Report 614. Los Angeles, CA: UNiversity of California-Los Angeles, National Center for Research on Evaluation, Standards, and Student Testing.
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