This chapter includes results of various statistical analysis performed. The initial stage will show you the reliability analysis of variables.
4.1 Reliability Analysis:
Variable No of items Cronbach’s Alpha
Job demand resource model 48 0.780
performance 5 0.200
burnout 10 0.694
4.2 Results of Regression Analysis
As discussed earlier, all hypothesis were tested using regression analysis. Hypothesis were tested by using linear regression to determine whether there is a significant effect of job demand resource model on performance and burnout. Finding related to hypothesis are presented ahead.
4.2.1 Regression results for job resource model and job performance
Hypothesis was developed to examine the effect of job resource model on job performance and was tested through simple linear regression. First we checked the effect of job resource model on job performance and results suggest that significant proportion of the total variation in job performance (dependent variable) was explained by job resource model (independent variable).In other words, job resource model is a significant predictor of job performance, F (16.186). Additional findings are as follows: The slope or regression coefficient (?=.533) is statistically significantly different from zero (t=4.02,p