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Direct linkHall, Garret J.; Kaplan, David; Albers, Craig A. – Learning Disabilities Research & Practice, 2022
Bayesian latent change score modeling (LCSM) was used to compare models of triannual (fall, winter, spring) change on elementary math computation and concepts/applications curriculum-based measures. Data were collected from elementary students in Grades 2-5, approximately 700 to 850 students in each grade (47%-54% female; 78%-79% White, 10%-11%…
Descriptors: Learning Disabilities, Students with Disabilities, Elementary School Students, Mathematics Skills
Mariano, Louis T.; McCaffrey, Daniel F.; Lockwood, J. R. – Journal of Educational and Behavioral Statistics, 2010
There is an increasing interest in using longitudinal measures of student achievement to estimate individual teacher effects. Current multivariate models assume each teacher has a single effect on student outcomes that persists undiminished to all future test administrations (complete persistence [CP]) or can diminish with time but remains…
Descriptors: Persistence, Academic Achievement, Data Analysis, Teacher Influence
Peer reviewedJarrell, Stephen – Mathematics and Computer Education, 1990
Explains a new way of viewing Bayes' formula. Discusses the revision factor and its interpretation. (YP)
Descriptors: Bayesian Statistics, College Mathematics, Computation, Decimal Fractions
