S
Stephen Olejnik
Researcher at University of Georgia
Publications - 67
Citations - 5100
Stephen Olejnik is an academic researcher from University of Georgia. The author has contributed to research in topics: Sample size determination & Type I and type II errors. The author has an hindex of 25, co-authored 67 publications receiving 4677 citations. Previous affiliations of Stephen Olejnik include University of Florida & Georgia College & State University.
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Journal ArticleDOI
Generalized eta and omega squared statistics: measures of effect size for some common research designs.
Stephen Olejnik,James Algina +1 more
TL;DR: In this article, the authors provide formulas for computing generalized eta and omega squared statistics, which provide estimates of effect size that are comparable across a variet yo f research designs, but do not consider the effect that design features of the study have on the size of these statistics.
Journal ArticleDOI
Measures of Effect Size for Comparative Studies: Applications, Interpretations, and Limitations.
Stephen Olejnik,James Algina +1 more
TL;DR: Several measures of effect size that might be used in group comparison studies involving univariate and/or multivariate models are discussed.
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Statistical Practices of Educational Researchers: An Analysis of their ANOVA, MANOVA, and ANCOVA Analyses:
H. J. Keselman,Carl J. Huberty,Lisa M. Lix,Stephen Olejnik,Robert A. Cribbie,Barbara Donahue,Rhonda K. Kowalchuk,Laureen L. Lowman,Martha D. Petoskey,Joanne C. Keselman,Joel R. Levin +10 more
TL;DR: This article examined the use of data analysis tools by researchers in four research paradigms: between-subjects univariate, multivariate, repeated measures, and covariance designs, concluding that researchers rarely verify that validity assumptions are satisfied and that, accordingly, they typically use analyses that are nonrobust to assumption violations.
MonographDOI
Applied MANOVA and discriminant analysis
Carl J. Huberty,Stephen Olejnik +1 more
TL;DR: A review of the main findings of the first edition of Manova/DDA: A Discriminant Analysis in Research, which concluded that the results of this study confirmed that the design of the MANOVA was based on a mixture of objective and subjective criteria.
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Vocabulary Tricks: Effects of Instruction in Morphology and Context on Fifth-Grade Students’Ability to Derive and Infer Word Meanings:
TL;DR: The authors compared the effects of morphemic and contextual analysis instruction with textbook vocabulary instruction, and found that MC students were more successful at inferring the meanings of morphologically and contextually decipherable words on a delayed test but not on an immediate test.