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dc.contributor.advisorWall, Timothy J.eng
dc.contributor.authorCoughlin, Zaceng
dc.date.issued2018eng
dc.date.submitted2018 Falleng
dc.description.abstract“The purpose of this quantitative study is to determine if a predictive model can be created to identify job satisfaction among Missouri secondary assistant principals using the Minnesota Satisfaction Questionnaire (MSQ). A one-shot, non-experimental survey (Creswell, 2009) was created using Google forms and distributed to secondary assistant principals using the MSQ short form questionnaire. The MSQ identifies 20 categories related to job satisfaction and scores the respondent based on his/her answers. The MSQ and summary statistics will be used to identify which factors have the highest impact on assistant principal job satisfaction. Summary statistics will include assistant principal job satisfaction, years in assistant principal position, years teaching, size of building, salary, age, gender, education level, MSIP5 percent of points earned, and responsibilities. These ten data points will be analyzed in conjunction with the 20 MSQ categories using the Statistical Packages for the Social Sciences V22.0 (SPSS). A backward stepwise regression analysis will be utilized in order to predict assistant principal job satisfaction.”--Page 6-7eng
dc.identifier.urihttps://hdl.handle.net/10355/67677
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.rightsOpenAccesseng
dc.titleDeveloping a predictive model to identify job satisfaction among Missouri secondary assistant principals using the Minnesota satisfaction questionnaireeng
dc.typeThesiseng
thesis.degree.disciplineEducational leadership and policy analysis (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelDoctoraleng
thesis.degree.nameEd. D.eng


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