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      A systematic review of effect size in software engineering experiments

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      Information and Software Technology
      Elsevier BV

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          Statistical methods in psychology journals: Guidelines and explanations.

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            Generalized eta and omega squared statistics: measures of effect size for some common research designs.

            The editorial policies of several prominent educational and psychological journals require that researchers report some measure of effect size along with tests for statistical significance. In analysis of variance contexts, this requirement might be met by using eta squared or omega squared statistics. Current procedures for computing these measures of effect often do not consider the effect that design features of the study have on the size of these statistics. Because research-design features can have a large effect on the estimated proportion of explained variance, the use of partial eta or omega squared can be misleading. The present article provides formulas for computing generalized eta and omega squared statistics, which provide estimates of effect size that are comparable across a variety of research designs.
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              Meta-analysis: recent developments in quantitative methods for literature reviews.

              We describe the history and current status of the meta-analytic enterprise. The advantages and historical criticisms of meta-analysis are described, as are the basic steps in a meta-analysis and the role of effect sizes as chief coins of the meta-analytic realm. Advantages of the meta-analytic procedures include seeing the "landscape" of a research domain, keeping statistical significance in perspective, minimizing wasted data, becoming intimate with the data summarized, asking focused research questions, and finding moderator variables. Much of the criticism of meta-analysis has been based on simple misunderstanding of how meta-analyses are actually carried out. Criticisms of meta-analysis that are applicable are equally applicable to traditional, nonquantitative, narrative reviews of the literature. Much of the remainder of the chapter deals with the processes of effect size estimation, the understanding of the heterogeneity of the obtained effect sizes, and the practical and scientific importance of the effect sizes obtained.
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                Author and article information

                Journal
                Information and Software Technology
                Information and Software Technology
                Elsevier BV
                09505849
                November 2007
                November 2007
                : 49
                : 11-12
                : 1073-1086
                Article
                10.1016/j.infsof.2007.02.015
                6dad9834-d341-480c-a6bd-28382f5d3e37
                © 2007

                http://www.elsevier.com/tdm/userlicense/1.0/

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