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Direct linkZientek, Linda Reichwein; Ozel, Z. Ebrar Yetkiner; Ozel, Serkan; Allen, Jeff – Career and Technical Education Research, 2012
Confidence intervals (CIs) and effect sizes are essential to encourage meta-analytic thinking and to accumulate research findings. CIs provide a range of plausible values for population parameters with a degree of confidence that the parameter is in that particular interval. CIs also give information about how precise the estimates are. Comparison…
Descriptors: Vocational Education, Effect Size, Intervals, Self Esteem
Peer reviewedSuen, Hoi K. – Evaluation and the Health Professions, 1984
The Bayesian inferential process is modified for use in an aggregate meta-analytic evaluation. Compared with the average effect size meta-analytic approach, the Bayesian approach was more sensitive, more consistent and more powerful. This approach is recommended when primary data are not available and when all evaluations involve comparisons of…
Descriptors: Bayesian Statistics, Data Interpretation, Effect Size, Evaluation Methods
Peer reviewedStrain, Phillip S.; Kohler, Frank W.; Gresham, Frank – Behavioral Disorders, 1998
Discusses logic and interpretation problems inherent in doing quantitative syntheses of single-case research. Addresses the meta-analytic method of using percentage of nonoverlapping data, highlighting special concerns related to withdrawal designs, sensitivity to variability in behavior, social significance of behavior change, and variables that…
Descriptors: Behavior Disorders, Case Studies, Data Interpretation, Elementary Secondary Education
