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Nancy K. Scammacca; Anna-Mária Fall; Greg Roberts – Journal of Research on Educational Effectiveness, 2015
Effect sizes are commonly reported for the results of educational interventions. However, researchers struggle with interpreting their magnitude in a way that transcends generic guidelines. Effect sizes can be interpreted in a meaningful context by benchmarking them against typical growth for students in the normative distribution. Such benchmarks…
Descriptors: Effect Size, Achievement Gains, Statistical Distributions, Low Achievement
Bessudnov, Alexey; Makarov, Alexey – International Studies in Sociology of Education, 2015
Gender differences in mathematical performance have received considerable scrutiny in the fields of sociology, economics and psychology. We analyse a large data-set of high school graduates who took a standardised mathematical test in Russia in 2011 (n = 738,456) and find no substantial difference in mean test scores across boys and girls.…
Descriptors: Foreign Countries, Gender Differences, Mathematics Achievement, Performance Based Assessment
Nancy K. Scammacca; Anna-Mária Fall; Greg Roberts – Grantee Submission, 2015
Effect sizes are commonly reported for the results of educational interventions. However, researchers struggle with interpreting their magnitude in a way that transcends generic guidelines. Effect sizes can be interpreted in a meaningful context by benchmarking them against typical growth for students in the normative distribution. Such benchmarks…
Descriptors: Reading Tests, Achievement Tests, Standardized Tests, Elementary Secondary Education
Boston, Carol – 2002
This Digest provides a review and applications of the concepts of normal distribution, standard deviation, effect size, and translation of effect size into percentile gain, the foundations for the understanding of meta analytic results. Meta analysis is a statistical technique that enables the results of a number of studies to be combined to…
Descriptors: Comparative Analysis, Effect Size, Meta Analysis, Statistical Distributions
Springer, Robert – Research & Practice in Assessment, 2006
The National Survey of Student Engagement (NSSE) provides participating schools an Institutional Report that includes (among many documents) mean comparisons, frequency distributions, and student respondent data as part of its standard reporting package. Sifting through all this data can leave even experienced researchers wondering where to start…
Descriptors: Effect Size, National Surveys, Learner Engagement, Student Participation

Parshall, Cynthia G.; Kromrey, Jeffrey D. – Educational and Psychological Measurement, 1996
Power and Type I error rates were estimated for contingency tables with small sample sizes for the following four types of tests: (1) Pearson's chi-square; (2) chi-square with Yates's continuity correction; (3) the likelihood ratio test; and (4) Fisher's Exact Test. Various marginal distributions, sample sizes, and effect sizes were examined. (SLD)
Descriptors: Chi Square, Comparative Analysis, Effect Size, Estimation (Mathematics)
Reshetar, Rosemary A.; Swaminathan, Hariharan – 1992
This study compared the model of J. E. Grizzle, C. F. Starmer, and G. G. Koch (GSK, 1969) and log-linear model-based approaches for testing hypotheses in r x c contingency tables. Tables were simulated under various conditions of table, sample, row-effect size, and column-effect size. Test statistics for column (main) and interaction effects were…
Descriptors: Chi Square, Classification, Comparative Analysis, Effect Size