Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Objective: The aim of this study was to provide the reliability and validity of job factors and to analyze its association with Demands-Control Model and job dissatisfaction in two time cross-sectional study of DISCOs of WAPDA. Methods: Two times self-reported cross-sectional surveys were conducted, the study samples consisting of 420 respondents at T1 and 388 respondents at T2. Results: Appropriate internal consistencies of the four scales: demands, control, job satisfaction and social supports, were obtained. Zero-order correlation and linear and multiple regressions analysis replicated the theoretically assumed structure of the job factors and job satisfaction construct in men and women collectively. Evidence of criterion validity was obtained from cross-correlations of the scales and from their linear and multiple regression analysis. Finally, all four measures were associated with a highly significant ratio of job dissatisfaction (JD), and the effect was strongest for the JD ratio as predicted by fundamental theory of Karasek. Conclusion: We examine how users who are assimilating job factors into their work experience the level of work related demands in their jobs, the level of autonomy/ control they have over their work, and how these relate to outcomes, such as job dissatisfaction and well-being. Based on the results of this study the four quadrant version of the DCM, questionnaire is considered a reliable and valid instrument for measuring psychosocial pressure at work environment. These outcomes and measures are applicable to all services and manufacturing industries.
Dr. Saif-ur-Rehman. 2011. \u201cThe psychometric impacts of Karasekas demands and control scale on employeesa job dissatisfaction\u201d. Global Journal of Management and Business Research - B: Economic & Commerce GJMBR-B Volume 11 (GJMBR Volume 11 Issue B4): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
The methods for personal identification and authentication are no exception.
Total Score: 108
Country: Pakistan
Subject: Global Journal of Management and Business Research - B: Economic & Commerce
Authors: Dr. Saif-ur-Rehman, Muhammad Asif Khan, Zia-Ullah (PhD/Dr. count: 1)
View Count (all-time): 110
Total Views (Real + Logic): 5652
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Publish Date: 2011 03, Sat
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Objective: The aim of this study was to provide the reliability and validity of job factors and to analyze its association with Demands-Control Model and job dissatisfaction in two time cross-sectional study of DISCOs of WAPDA. Methods: Two times self-reported cross-sectional surveys were conducted, the study samples consisting of 420 respondents at T1 and 388 respondents at T2. Results: Appropriate internal consistencies of the four scales: demands, control, job satisfaction and social supports, were obtained. Zero-order correlation and linear and multiple regressions analysis replicated the theoretically assumed structure of the job factors and job satisfaction construct in men and women collectively. Evidence of criterion validity was obtained from cross-correlations of the scales and from their linear and multiple regression analysis. Finally, all four measures were associated with a highly significant ratio of job dissatisfaction (JD), and the effect was strongest for the JD ratio as predicted by fundamental theory of Karasek. Conclusion: We examine how users who are assimilating job factors into their work experience the level of work related demands in their jobs, the level of autonomy/ control they have over their work, and how these relate to outcomes, such as job dissatisfaction and well-being. Based on the results of this study the four quadrant version of the DCM, questionnaire is considered a reliable and valid instrument for measuring psychosocial pressure at work environment. These outcomes and measures are applicable to all services and manufacturing industries.
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