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ERIC Number: ED257860
Record Type: Non-Journal
Publication Date: 1985-Apr
Pages: 31
Abstractor: N/A
Reference Count: N/A
Sample Size Selection In Single Group Repeated Measures Analysis.
Barcikowski, Robert S.; Robey, Randall R.
This paper provides researchers with a method of determining sample size for a given power level in the preparation of a single group exploratory repeated measure analysis. The rationale for determining sample size which takes into consideration the powers and assumptions of both the adjusted univariate and multivariate repeated measures tests is presented. Six tables to determine sample size for a minimally acceptable power level (.80), at three levels of significance (.01, .05, and .10), and varying levels of repeated measures and effect size are given. The noncentrality parameters used in the FORTRAN program for the univariate and multivariate repeated measures tests to drive the sample sizes are presented in Appendix A. The noncentrality parameters are related to Cohen's effect size index (f), a commonly used measure of treatment differences. Three example analyses are given to illustrate the utility of this methodology. (BS)
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: N/A
Audience: Researchers
Language: English
Sponsor: N/A
Authoring Institution: N/A