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   2011, Vol. 19 Issue (12) : 1868-1878     DOI:
研究方法 |
The Appropriate Effect Sizes and Their Calculations in Psychological Research
ZHENG Hao-Min;WEN Zhong-Lin;WU Yan
(1 Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China)
(2 Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou 510420, China)
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Abstract  Effect sizes are important supplement of the null hypothesis significance testing. More and more academic journals request authors provide the effect sizes of their researches. Our purpose is to provide a guideline on how to compute the appropriate effect sizes of different researches and data types. We classified the effect sizes into three types, including difference-type, correlation-type and group-overlap. For each type of the effect sizes, there are different approaches of calculations and applications under different research designs (e.g., single-factor/multifactor between-subjects, single-factor/multifactor within-subjects) and data conditions (e.g., small sample size, heterogeneity of variance). Many effect sizes, however, can be transformed from one type to another. We summarized a table that may help readers to choose appropriate effect sizes for their researches based on the research purposes and research designs.
Keywords effect size      difference-type      correlation-type      group overlap-type     
Corresponding Authors: WEN Zhong-Lin   
Issue Date: 15 December 2011
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ZHENG Hao-Min,WEN Zhong-Lin,WU Yan. The Appropriate Effect Sizes and Their Calculations in Psychological Research[J]. , 2011, 19(12): 1868-1878.
URL:  
http://journal.psych.ac.cn/xlkxjz/EN/     OR     http://journal.psych.ac.cn/xlkxjz/EN/Y2011/V19/I12/1868
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[2] Zhou Mingjie;Zhang Jianxin. Integrating Qualitative and Quantitative Analysis
in Psychology Research
[J]. , 2008, 16(01): 163-168.
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