A Review on the Use of Effect Size in Nursing Research.
10.4040/jkan.2015.45.5.641
- Author:
Hyuncheol KANG
1
;
Kyupil YEON
;
Sang Tae HAN
Author Information
1. Department of Applied Statistics, Hoseo University, Asan, Korea. sthan@hoseo.edu
- Publication Type:Review
- Keywords:
Effect size;
Significance probability;
Power of test;
Statistical significance;
Practical significance
- MeSH:
*Data Interpretation, Statistical;
Humans;
Nursing Research/*methods;
Research Design;
Sample Size;
Software
- From:Journal of Korean Academy of Nursing
2015;45(5):641-649
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
PURPOSE: The purpose of this study was to introduce the main concepts of statistical testing and effect size and to provide researchers in nursing science with guidance on how to calculate the effect size for the statistical analysis methods mainly used in nursing. METHODS: For t-test, analysis of variance, correlation analysis, regression analysis which are used frequently in nursing research, the generally accepted definitions of the effect size were explained. RESULTS: Some formulae for calculating the effect size are described with several examples in nursing research. Furthermore, the authors present the required minimum sample size for each example utilizing G*Power 3 software that is the most widely used program for calculating sample size. CONCLUSION: It is noted that statistical significance testing and effect size measurement serve different purposes, and the reliance on only one side may be misleading. Some practical guidelines are recommended for combining statistical significance testing and effect size measure in order to make more balanced decisions in quantitative analyses.
