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Peer reviewed Peer reviewed
Snijders, Tom A. B.; Bosker, Roel J. – Journal of Educational Statistics, 1993
Some approximate formulas are presented for standard errors of estimated regression coefficients in two-level designs. If the researcher can make a reasonable guess as to parameters occurring in the model, this approximation can be a guide to the choice of sample sizes at either level. (SLD)
Descriptors: Equations (Mathematics), Error of Measurement, Estimation (Mathematics), Mathematical Models
Peer reviewed Peer reviewed
Marcoulides, George A. – Journal of Educational Statistics, 1993
A methodology is presented for minimizing mean error variance in generalizability studies when resource constraints are imposed. The optimal number of observations and conditions of facets for random model, fully crossed one- and two-facet designs can be decided. Parallel closed form formulas can be determined for other designs. (SLD)
Descriptors: Budgeting, Equations (Mathematics), Error of Measurement, Generalizability Theory
Peer reviewed Peer reviewed
Coulson, John E. – Journal of Educational Statistics, 1978
Problems encountered in large-scale educational evaluations are discussed using the evaluation of the Emergency School Aid Act as an example. This extensive article focuses primarily on methodological issues. (JKS)
Descriptors: Compensatory Education, Data Analysis, Educationally Disadvantaged, Elementary Secondary Education