Volume 6, Issue 2 (June 2024)
IEEPJ 2024, 6(2): 251-266 |
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Tayebi S, Etemad Ahari A, Hanifi F. (2024). Presenting the Model of Improving the Effective Training System for Karaj Municipality’s Employees: A Mixed Method Study. IEEPJ. 6(2), 251-266.
URL: http://ieepj.hormozgan.ac.ir/article-1-810-en.html
URL: http://ieepj.hormozgan.ac.ir/article-1-810-en.html
1- Ph.D. student in Educational Management, Faculty of Educational Sciences and Counseling, Roudehen Branch, Islamic Azad University, Roudehen, Iran
2- Assistant Professor, Department of Educational Sciences, Faculty of Educational Sciences and Counseling, Roudehen Branch, Islamic Azad University, Roudehen, Iran ,ala.etemad@gmail.com
3- Assistant Professor, Department of Educational Sciences, Faculty of Educational Sciences and Counseling, Roudehen Branch, Islamic Azad University, Roudehen, Iran
2- Assistant Professor, Department of Educational Sciences, Faculty of Educational Sciences and Counseling, Roudehen Branch, Islamic Azad University, Roudehen, Iran ,
3- Assistant Professor, Department of Educational Sciences, Faculty of Educational Sciences and Counseling, Roudehen Branch, Islamic Azad University, Roudehen, Iran
Abstract: (874 Views)
Objective: The current article introduces the Model for Enhancing the Efficient Training System for Employees of Karaj Municipality, utilizing a Mixed Method approach.
Methods: The study was conducted in two phases: a Qualitative segment employing qualitative content analysis, and a Quantitative segment utilizing correlation and exploratory factor analysis methods. The Qualitative part involved analyzing and conceptualizing data from semi-structured interviews with 12 specialists in organizational education, employing open, central, and selective coding stages. Subsequently, the Quantitative segment utilized a researcher-developed questionnaire (comprising 35 items) with a Likert scale to assess the perspectives of 101 managers and experts from Karaj Municipality.
Results: A total of 62 codes were identified and categorized based on thematic affinity and concepts. Through a combination of indicators, 7 categories were derived within 5 principal dimensions. The data obtained from the exploratory factor analysis questionnaire in the Quantitative segment were examined using SMART PLS 2 and SPSS 16 statistical software. The fit indices in the tables demonstrate the suitability of the model, with all factor loadings and path coefficients being statistically significant. The results from the structural equation modeling output of PL Smart software indicate that all significant coefficients in the model exceed 1.96, affirming the relationships governing the components of the proposed model with 95% confidence.
Conclusions: Consequently, the validity and reliability of the questionnaire were verified, along with the confirmation of relationships among the model's components.
Methods: The study was conducted in two phases: a Qualitative segment employing qualitative content analysis, and a Quantitative segment utilizing correlation and exploratory factor analysis methods. The Qualitative part involved analyzing and conceptualizing data from semi-structured interviews with 12 specialists in organizational education, employing open, central, and selective coding stages. Subsequently, the Quantitative segment utilized a researcher-developed questionnaire (comprising 35 items) with a Likert scale to assess the perspectives of 101 managers and experts from Karaj Municipality.
Results: A total of 62 codes were identified and categorized based on thematic affinity and concepts. Through a combination of indicators, 7 categories were derived within 5 principal dimensions. The data obtained from the exploratory factor analysis questionnaire in the Quantitative segment were examined using SMART PLS 2 and SPSS 16 statistical software. The fit indices in the tables demonstrate the suitability of the model, with all factor loadings and path coefficients being statistically significant. The results from the structural equation modeling output of PL Smart software indicate that all significant coefficients in the model exceed 1.96, affirming the relationships governing the components of the proposed model with 95% confidence.
Conclusions: Consequently, the validity and reliability of the questionnaire were verified, along with the confirmation of relationships among the model's components.
Type of Study: Original |
Subject:
Educational Psychology
Received: 2023/04/10 | Accepted: 2023/10/13 | Published: 2024/06/1
Received: 2023/04/10 | Accepted: 2023/10/13 | Published: 2024/06/1
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