The dangers of equating "statistical significance" with "real world" significance are summarized. When a finding is said to have "statistical significance," it means only that the same results would be likely to occur again if the study were repeated, not that the finding has any true personal or societal importance. (VW)

Reviews the role of statistical significance testing, and argues that dominance of such testing is dysfunctional because significance tests do not provide the information that many researchers assume they do. Possible reasons for the persistence of statistical significance testing are discussed briefly, and ways to moderate negative effects are…

Ten articles on the use of multilevel data in educational research are presented. Topics include model specification and building, analytical procedures, aggregation bias, least squares statistics, hierarchical linear models, significance testing, and testing multilevel product-process networks. (TJH)

In describing several pitfalls associated with research on school and teacher effectiveness, the following aspects of effectiveness research are considered: correlation-causation relationship, controlling for background factors, statistical and practical significance, instrumentation problems, regression effects, measurement of change, nonlinear…

Discusses five common myths about statistical significance testing (SST), the possible erroneous and harmful contributions of SST to educational research, and suggested alternatives to SST for mathematics education research. (Contains 61 references.) (MKR)

Federal assistance for special educational programs makes necessary the regular study of evaluations of thousands of innovations in compensatory education, bilingual education, and reading programs. The results are reported to the President and to Congress. However, investigating organizations find only a few programs with adequate evidence and…