This exploratory study investigated the social and affective concerns of 280 high-ability students in Grades 5 through 12 who participated in a summer residential program. Content analysis of responses from an open-ended survey indicated that high-ability adolescents expressed concerns regarding feelings and emotions, future aspirations, and…

Shows, through a Monte Carlo experiment, that statistical significance testing and effect size are related and complementary but do not substitute for each other, noting that good research requires consideration of both. Results of the experiment indicate that there is considerable variability in the sample effect size measure, and the extent of…

Surveyed AERA members regarding their perceptions of: statistical issues and statistical significance testing; the general linear model; stepwise methods; score reliability; type I and II errors; sample size; statistical probabilities as exclusive measures of effect size; p values as direct measures of result value; and p values evaluating…

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)

The Galois-lattice is a graphic method for representing all possible developmental phases to reach a given total knowledge via different partial knowledge structures. Algorithms are proposed for incorporating statistical analysis into the Galois-lattice method. A comparison to the Rasch model and application for educational research are given. (BS)

This paper reviews criticism on misinterpretation and overuse of significance testing in the social sciences and examines use of effect size measures to enhance interpretation of significance testing. Review of typical effect size measures and their application is followed by analysis of use of effect size measures in studies reported over 10…

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…

"Research in the Schools" publishes empirical studies focusing on the results of applied educational research, scholarly reviews of research, descriptions of technology applications and innovative teaching strategies, and other topics of interest to educational researchers. Issue number 1 contains these articles: (1) "Factors…

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)

Journal editors respond to criticisms of reliance on statistical significance in research reporting. Joel R. Levin ("Journal of Educational Psychology") defends its use, whereas William D. Schafer ("Measurement and Evaluation in Counseling and Development") emphasizes the distinction between statistically significant and important. William Asher…

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)

The use of tests of statistical significance was explored, first by reviewing some criticisms of contemporary practice in the use of statistical tests as reflected in a series of articles in the "American Psychologist" and in the appointment of a "Task Force on Statistical Inference" by the American Psychological Association…