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Effect-Size Estimates

Issues and Problems in Interpretation

Bibliographic Data

ID3033593
AuthorsEdward F Fern (Virginia Tech), Kent B Monroe (Small Business Administration)
Year1996
Volume23
Issue2
Pages89
Publication date1996-09-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Consumer Research (JOURNAL)
Journal identifiersISSN: 0093-5301 • E-ISSN: 1537-5277
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1086/209469
OpenAlexW2046242095
LanguageEN
Citations received36
References cited26

In recent years, researchers have recognized the importance of the concept of effect size for planning research, determining the significance of research results, and accumulating results across studies. However, the uncritical use of effect-size indicators may lead to different interpretations of similar research findings because of differences in assumptions underlying the nature of the research, aspects of the phenomenon being investigated, or the methodological characteristics of the research. This article reviews the substantive, measurement, and methodological issues that influence the relative magnitude of an empirical effect size. The relationships and transformations between different types of effect-size indicators are presented. It is the thesis of this article that the meaningfulness of an estimated effect size should be interpreted with consideration of the type of research (relational vs. experimental), the anticipated application of the results obtained (effects application vs. theory testing), and the research history in the domain of inquiry. Researchers must be cognizant of the many different causal factors that influence effect size before using the magnitude of an effect for assessing the importance of research results, calculating the statistical power of a test, or synthesizing findings across different studies

Cognitive psychology · Econometrics · Economics · Empirical research · Epistemology · Interpretation (philosophy) · Management science · Phenomenon · Sample size determination · Statistical hypothesis testing · Statistics · Computer Science · Land Use and Ecosystem Services · Mathematics · Psychology · Social Psychology · Urban Green Space and Health

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Unique citing works36
Citations per year1,33
Citation span1999 - 2026 (28)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 33

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