Ed351 Reserve Readings (as of 11/13/96) Individual change Rogosa, D. R., Brandt, D., & Zimowski, M. (1982). A growth curve approach to the measurement of change. Psychological Bulletin, 92, 726-748. Rogosa, D. R., & Willett, J. B. (1983). Demonstrating the reliability of the difference score in the measurement of change. Journal of Educational Measurement, 20, 335- 343. Rogosa, D. R., & Willett, J. B. (1985). Understanding correlates of change by modeling individual differences in growth. Psychometrika, 50, 203-228. Rogosa, D. R. (1994). Individual trajectories as the starting point for longitudinal data analysis. Alzheimer Disease and Associated Disorders, 8, S302-S307. Rogosa, D. R., and Saner, H. M. (1995). Longitudinal data analysis examples with random coefficient models. Journal of Educational and Behavioral Statistics, 20, 149- 170. Reply to Discussants: Longitudinal data analysis examples with random coefficient models. 234-238. Rogosa, D. R. (1995). Myths and methods: "Myths about longitudinal research," plus supplemental questions. In The analysis of change, J. M. Gottman, Ed. Hillsdale, New Jersey: Lawrence Erlbaum Associates, 3-65. Stability Rogosa, D. R., Floden, R. E., & Willett, J. B. (1984). Assessing the stability of teacher behavior. Journal of Educational Psychology, 76, 1000-1027. Foulkes-Davis tracking index paper Foulkes, M.A. , & Davis,C.E. (1981) An index of tracking for longitudinal data. Biometrics,37, 439-446. Group Comparisons Brogan, D. R. & Kutner, M. H. (1980) Comparative analyses of pretest-postest research designs. American Statistician 34, 229-32. Plus responses. Rogosa, D. R. (1991). A longitudinal approach to ATI research: Models for individual growth and models for individual differences in response to intervention. In Improving inquiry in social science: A volume in honor of Lee J. Cronbach, R. E. Snow and D. E. Wiley, Eds. Hillsdale, New Jersey: Lawrence Erlbaum Associates, 221-248. Structural Equation Models Rogosa, D. R. (1993). Individual unit models versus structural equations: Growth curve examples. In Statistical modeling and latent variables, K. Haagen, D. Bartholomew, and M. Diestler, Eds. Amsterdam: Elsevier North Holland, 259-281. Rogosa, D. R. (1987). Casual models do not support scientific conclusions: A comment in support of Freedman. Journal of Educational Statistics, 12, 185-195. Rogosa, D. R., & Willett, J. B. (1985). Satisfying a simplex structure is simpler than it should be. Journal of Educational Statistics, 10, 99-107. Reciprocal Effects, Cross-lagged correlation. Rogosa, D. R. (1980). A critique of cross-lagged correlation. Psychological Bulletin, 88, 245-258. Rogosa, D. R. (1985). Analysis of reciprocal effects. In International Encyclopedia of Education, T. Husen and N. Postlethwaite, Eds. London: Pergamon Press, 4221-4225. (reprinted in Educational Research, Methodology & Measurement: An international handbook, J. P. Keeves Ed. Oxford: Pergamon Press, 1988.