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Direct linkTekwe, Carmen D.; Carter, Randy L.; Ma, Chang-Xing; Algina, James; Lucas, Maurice E.; Roth, Jeffrey; Ariet, Mario; Fisher, Thomas; Resnick, Michael B. – Journal of Educational and Behavioral Statistics, 2004
Hierarchical Linear Models (HLM) have been used extensively for value-added analysis, adjusting for important student and school-level covariates such as socioeconomic status. A recently proposed alternative, the Layered Mixed Effects Model (LMEM) also analyzes learning gains, but ignores sociodemographic factors. Other features of LMEM, such as…
Descriptors: Accountability, Academic Achievement, Mathematical Models, Statistical Analysis
Lix, Lisa M.; Algina, James; Keselman, H. J. – Multivariate Behavioral Research, 2003
The approximate degrees of freedom Welch-James (WJ) and Brown-Forsythe (BF) procedures for testing within-subjects effects in multivariate groups by trials repeated measures designs were investigated under departures from covariance homogeneity and normality. Empirical Type I error and power rates were obtained for least-squares estimators and…
Descriptors: Interaction, Freedom, Sample Size, Multivariate Analysis
