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dc.contributor.authorKim, In-suk
dc.date.accessioned2014-03-03T20:05:00Z
dc.date.available2014-03-03T20:05:00Z
dc.date.issued2001-12
dc.identifier.otherkim_in-suk_200112_ma
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/kim_in-suk_200112_ma
dc.identifier.urihttp://hdl.handle.net/10724/20365
dc.description.abstractThe purpose of this study is to investigate not only the performance of five statistical tests of independence but also the relationships among power, sample size, effect size, marginal distribution, and type I error rates. The five statistics are: Pearson's chi-square test, the likelihood ratio chi-square test, Mantel-Haenszel chi-square, Fisher's exact test, and the continuity adjusted chi-square. The empirical Type I error rates and statistical power of the five statistical tests were estimated for 2 x 2 tables under various conditions. Five sample sizes: 8, 16, 32, 100, 300; three marginal distributions: equal (50:50), moderately skewed (60:40), and extremely skewed (90:10); and three effect sizes, small (.1), medium (.3), and large (.5) were examined for the empirical Type I error rates and the statistical power. For each condition studied, 10,000 samples were generated. Results were analyzed using logistic regression analysis.
dc.publisheruga
dc.rightspublic
dc.subjectTest of independence
dc.subject2 by 2 contingency table
dc.subjectSimulation study
dc.subjectLogistic regression
dc.subjectPearson\'s chi-square
dc.titleTests of independence in 2 by 2 contingency tables
dc.title.alternativean examination of type I error and statistical power related to sample size marginal distributionand effect size
dc.typeThesis
dc.description.degreeMA
dc.description.departmentEducational Psychology
dc.description.majorEducational Psychology
dc.description.advisorJoe Wisenbaker
dc.description.committeeJoe Wisenbaker
dc.description.committeeSteve Olejnik
dc.description.committeeSeock-Ho Kim


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