An examination of organizational socialization and job satisfaction among higher education staff

by Massie, Michael M., Ph.D., CAPELLA UNIVERSITY, 2013, 118 pages; 3607014

Abstract:

The purpose of this research was to add to the existing knowledge surrounding organizational socialization by exploring whether aspects of the formalized organizational socialization process, above and beyond demographic (i.e., person-level factors) and work experience considerations (i.e., institution-level factors), can predict job satisfaction among staff working within higher education. The research question was: "How do the various dimensions of formalized organizational socialization explain the job satisfaction of staff who are employed in the field of higher education, above and beyond what can be explained by variables related to the employee and the employee's institution?" Participants were recruited and screened using SurveyMonkey Audience. Inclusion criteria included (a) United States citizen between 18 and 75 years of age, (b) employed at a two or four-year higher education institution, (c) the individuals position is non-faculty. The survey consisted of a series of qualifying questions to ensure the appropriateness of the respondent and, followed by the Organizational Socialization Inventory (OSI) and the Job Satisfaction Survey (JSS). To achieve a statistical power of .80 it was determined that a population of 119 respondents would be required. A total of 142 completed responses were collected, increasing the statistical power to .99 based on G*Power 3 calculations. After survey collection was completed all responses were imported into SPSS for analysis. Exploratory data analysis was performed to determine the underlying statistical assumptions of the primary statistical model, hierarchical linear regression. Ultimately, hierarchical linear regression was performed to test the research hypothesis. Three sets of variables were entered into the regression equation in a sequential order. The first set of variables included person level variables. The second set of variables included in the regression equation were institution level variables. The third set of variables included in the regression equation were the four subscales of the OSI. It was hypothesized that all OSI subscale scores would emerge as statistically significant explanatory variables for a staff member's job satisfaction, as measured by the JSS, this hypothesis was only partially supported. Three of the four OSI subscales emerged as statistically significant explanatory variables of job satisfaction in the final model

AdviserScott Yorkovich
SchoolCAPELLA UNIVERSITY
Source TypeDissertation
SubjectsBusiness administration; Management
Publication Number3607014

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