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dc.contributor.authorFancher, Emily Lauren
dc.date.accessioned2014-03-04T21:05:54Z
dc.date.available2014-03-04T21:05:54Z
dc.date.issued2013-08
dc.identifier.otherfancher_emily_l_201308_ms
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/fancher_emily_l_201308_ms
dc.identifier.urihttp://hdl.handle.net/10724/29029
dc.description.abstractIn this thesis I compare methods of statistical analyses for Pretest and Posttest Control Group Designs and Non-equivalent Group Designs. I compare the strengths and weaknesses of different methods of analyses, including ANOVA for the difference, ANCOVA, and Repeated Measures ANOVA. Four different data sets are analyzed and compared based on fit statistics and LS mean estimates.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectPretest Posttest Control Group Design, Non-equivalent Group Design, Experimental Validity, ANOVA, ANCOVA, Repeated Measures ANOVA, Longitudinal Study, Mixed Model, Quasi-Experiment
dc.titleComparison of methods of analysis for Pretest and Posttest data
dc.typeThesis
dc.description.degreeMS
dc.description.departmentStatistics
dc.description.majorStatistics
dc.description.advisorJaxk Reeves
dc.description.committeeJaxk Reeves
dc.description.committeeJennifer Kaplan


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