Understanding and Interpreting Effect Size Measures

A conclusion of no difference based on statistical significance testing might lead the researcher in the cancer drug study to stop his or her investigation, but a meaningful effect size might suggest just the opposite-the importance of replicating the study with a larger sample that is sufficiently...

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Bibliographic Details
Published inSocial work research Vol. 31; no. 4; pp. 243 - 248
Main Authors LeCroy, Craig Winston, Krysik, Judy
Format Journal Article
LanguageEnglish
Published Oxford Oxford University Press 01.12.2007
National Association of Social Workers
Subjects
Applied statistics
Behavioral sciences
Control Groups
Educational research
Effect Size
Heart attacks
Indexes (Measures)
Methodological Problems
Methodology (Data Analysis)
Myocardial infarction
P values
Psychological counseling
Research methods
RESEARCH NOTE
Sample Size
Social sciences
Social work
Social Work Research
Standard deviation
Statistical Analysis
Statistical Significance
Studies
Task forces
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Summary:A conclusion of no difference based on statistical significance testing might lead the researcher in the cancer drug study to stop his or her investigation, but a meaningful effect size might suggest just the opposite-the importance of replicating the study with a larger sample that is sufficiently powered and looking across similar studies to assess the reliability of the effect size findings.
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ISSN:1070-5309
1545-6838
DOI:10.1093/swr/31.4.243