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Hedges, Larry V.; Hedberg, E. C. – Educational Evaluation and Policy Analysis, 2007
Experiments that assign intact groups to treatment conditions are increasingly common in social research. In educational research, the groups assigned are often schools. The design of group-randomized experiments requires knowledge of the intraclass correlation structure to compute statistical power and sample sizes required to achieve adequate…
Descriptors: Educational Research, Academic Achievement, Correlation, Experiments
Saunders, Joseph C.; Huynh, Huynh – 1980
In most reliability studies, the precision of a reliability estimate varies inversely with the number of examinees (sample size). Thus, to achieve a given level of accuracy, some minimum sample size is required. An approximation for this minimum size may be made if some reasonable assumptions regarding the mean and standard deviation of the test…
Descriptors: Cutting Scores, Difficulty Level, Error of Measurement, Mastery Tests
Noble, Julie; Sawyer, Richard – 1992
The purpose of the study was to compare two regression-based approaches for measuring educational effectiveness in Tennessee high schools: the mean residual approach (MR), and a more general linear models (LM) approach. Data were obtained from a sample of 1,011 students who were enrolled in 48 high schools, and who had taken the Comprehensive…
Descriptors: Academic Achievement, Achievement Gains, Comparative Analysis, Educational Change
Butler, Frances A.; And Others – 1990
This study, part of a larger effort to develop a methodology for evaluating intelligent computer systems (Artificial Intelligence Systems), explores the use of benchmarking as an evaluation technique. Benchmarking means comparing the performance of intelligent computer systems with human performance on the same task. Benchmarking in evaluation has…
Descriptors: Adults, Artificial Intelligence, Benchmarking, Comparative Analysis