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dc.contributor.advisorConverse, Patrick
dc.contributor.authorBush, Joshua David
dc.date.accessioned2019-09-11T19:24:35Z
dc.date.available2019-09-11T19:24:35Z
dc.date.created2019-05
dc.date.issued2018-12
dc.date.submittedMay 2019
dc.identifier.urihttp://hdl.handle.net/11141/2881
dc.descriptionThesis (Ph.D.) - Florida Institute of Technology, 2018en_US
dc.description.abstractThis study sought to explore and predict voluntary turnover as a critical dependent variable in selection systems. I describe how using competency modeling to build measures of person-organization (P-O) fit may serve as a theoretical launching point for designing selection assessments to predict voluntary turnover. I tested this theoretical framework by analyzing an archival selection database of 3,332 current and former employees who went through a competency model-based selection system, which includes five different assessment methods all designed to measure P-O fit. I hypothesized that scores on these assessments would negatively predict turnover risk because research has demonstrated a strong negative relationship between P-O fit and turnover. Survival analysis demonstrated that the selection system predicted probability of voluntary turnover (i.e., turnover risk). Regarding specific assessments, interest inventory scores did not significantly relate to turnover risk, and structured interview scores demonstrated a significant positive relationship with turnover risk. The dispositional inventory, biographical inventory, and SJT scores all demonstrated significant negative relationships with turnover risk as hypothesized. When combining these assessments, dispositional scores accounted for all the biographical inventory scores’ relationship with turnover risk, and most of the SJT scores’ relationship. Therefore, dispositional inventory scores were the strongest predictor. Turnover risk was reduced by 38% for each standard unit increase in dispositional inventory scores.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.rightsCC BY-NCen_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/legalcodeen_US
dc.titleDesigning Selection Systems to Reduce Turnoveren_US
dc.typeDissertationen_US
dc.date.updated2019-07-01T14:54:29Z
thesis.degree.nameDoctorate of Philosophy in Industrial and Organizational Psychologyen_US
thesis.degree.levelDoctoralen_US
thesis.degree.disciplineIndustrial/Organizational Psychologyen_US
thesis.degree.departmentPsychologyen_US
thesis.degree.grantorFlorida Institute of Technologyen_US
dc.type.materialtext


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