Zahra Beigomi; Mehrzad Hamidi; Seyyed Nasrollah Sajadi; Habib Honari
Volume 14, Issue 30 , August 2016, , Pages 10-36
Abstract
The purpose of this research was to design structural equation model of human resource management policies and outcomes in Ministry of Sports and Youth. Research method was Descriptive and correlation type. The statistical population was 466 experts who were working in Ministry of Sports and Youth. ...
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The purpose of this research was to design structural equation model of human resource management policies and outcomes in Ministry of Sports and Youth. Research method was Descriptive and correlation type. The statistical population was 466 experts who were working in Ministry of Sports and Youth. Using krejcie- Morgan table, the sample size was determined 214. However, due to need of adequate number of samples in structural equation modeling method, 320 questionnaires were distributed. 294 questionnaires (92%) were returned that considered as sample size. The research instruments included basic demographic information, human resource management policies questionnaire (researcher – made) and motivation questionnaire, organizational commitment questionnaire (Bozeman and Perrewé, 2001), cooperation (with director and co-worker) questionnaire (Lambooij, 2005 and Sanders & Van Emmerik, 2004) and job satisfaction (Linz, 2003). Content Validity of questionnaires was confirmed by sport management professors and reliability of the questionnaires was calculated using Cronbach's alpha coefficient. To identify the dimensions of variables and the factor load and construct validity, exploratory factor analysis was used with varimax rotation. For data analysis some statistical techniques were used such as: test sampling adequacy (KMO) and Bartlett, Pearson correlation, regression, factor analysis, path analysis and structural equation modeling techniques with using SPSS and LISREL sortwares. Findings indicated: multiple regression coefficients between human resource management policies and outcomes were significant. Human resource management policies predicted 23 percent of variance of human resource management outcomes. The proposed research model had good fit in target population. Also, impact factor of human resource management policies and it’s dimensions on human resource management outputs was 0/67. Therefore, human resource management policies and its dimensions could explain the human resource management outcomes and its dimensions.
