دانلود مقاله با موضوع روش APP برای تخمین اندازه اثر کوهن

دانلود مقاله با موضوع روش APP برای تخمین اندازه اثر کوهن

 

در قالب pdf و در 18  اسلاید،قابل ویرایش، شامل:



موضوع به انگلیسی:The APP procedure for estimating
the Cohen’s effect size

بخشی از متن:Abstract
Purpose – The authors derive the necessary mathematics, provide computer simulations, provide links to free
and user-friendly computer programs, and analyze real data sets.
Design/methodology/approach – Cohen’s d, which indexes the difference in means in standard deviation
units, is the most popular effect size measure in the social sciences and economics. Not surprisingly, researchers
have developed statistical procedures for estimating sample sizes needed to have a desirable probability of
rejecting the null hypothesis given assumed values for Cohen’s d, or for estimating sample sizes needed to have
a desirable probability of obtaining a confidence interval of a specified width. However, for researchers
interested in using the sample Cohen’s d to estimate the population value, these are insufficient. Therefore, it
would be useful to have a procedure for obtaining sample sizes needed to be confident that the sample. Cohen’s
d to be obtained is close to the population parameter the researcher wishes to estimate, an expansion of the a
priori procedure (APP). The authors derive the necessary mathematics, provide computer simulations and
links to free and user-friendly computer programs, and analyze real data sets for illustration of our main results.
Findings – In this paper, the authors answered the following two questions: The precision question: How close
do I want my sample Cohen’s d to be to the population value? The confidence question: What probability do I
want to have of being within the specified distance?
Originality/value – To the best of the authors’ knowledge, this is the first paper for estimating Cohen’s effect
size, using the APP method. It is convenient for researchers and practitioners to use the online computing
packages.
Keywords Effect size, Cohen’s d, Non-central t distribution, Minimum sample size
Paper type Research paper

 

 

 


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