International journal of Contemporary Business Studies

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International Journal of Contemporary Business Studies Vol: 3, No: 6. June, 2012 ISSN 2156-7506 Available online at http://www.akpinsight.webs.com Table 7: Tenure Frequency Percent Valid Percent Cumulative Percent Valid 0 3 1.6 1.6 1.6 1-5 years 104 54.5 54.5 56.0 6-10 35 18.3 18.3 74.3 11-15 8 4.2 4.2 78.5 16-20 12 6.3 6.3 84.8 21-25 12 6.3 6.3 91.1 26-30 14 7.3 7.3 98.4 31-35 3 1.6 1.6 100.0 Total 191 100.0 100.0 Table 8: Job Satisfaction & Biographical Data – Pearson Correlation Overall Job Satisfaction Rank Pearson Correlation -.828 ** Sig.(2-tailed) .000 N 191 Gender Pearson Correlation -.162 * Sig.(2-tailed) .026 N 190 Age Pearson Correlation .724 ** Sig.(2-tailed) .000 N 190 Tenure Pearson Correlation .712 ** Sig.(2-tailed) .000 N 191 * Correlation is significant at the 0.05 level (2 – tailed) ** Correlation is significant at the 0.01 level (2 – tailed) Table 9 depicts the Pearson correlations for the relationship among different aspects of job satisfaction of faculty members, which were assessed through JDI. The strongest correlation was found for coworkers “the people along with faculty members work with” (r = 0.724). The factor of pay showed weak but positive relationship with job satisfaction (r= 0.278).Whereas, a strong correlation was obtained among Job itself and job satisfaction of faculty members (r= 0.626), the weakest correlation was obtained among promotion and job satisfaction (r= 0.248). But the relationship among supervision and job satisfaction was found significant (p < 0.01) . Copyright © 2012. Academy of Knowledge Process 22
International Journal of Contemporary Business Studies Vol: 3, No: 6. June, 2012 ISSN 2156-7506 Available online at http://www.akpinsight.webs.com Table 9: Aspects of Job Satisfaction -Pearson Correlation Matrix Overall Job Satisfaction Job Pearson Correlation .626 ** Sig.(2-tailed) .000 N 191 Pay Pearson Correlation .278 ** Sig.(2-tailed) .000 N 191 Supervision Pearson Correlation .504 ** Sig.(2-tailed) .000 N 191 Promotion Pearson Correlation .248 ** Sig.(2-tailed) .001 N 191 People Pearson Correlation .724 ** Sig.(2-tailed) .000 N 191 * Correlation is significant at the 0.05 level (2 – tailed) ** Correlation is significant at the 0.01 level (2 – tailed) Multiple Regression Analysis In order to determine the impact of rank, gender, age and tenure on job satisfaction level of faculty members, multiple regression analysis was performed. Table 10: Multiple Regression Model Model R R- Square Adjusted R Square Std. Error of the Estimate 1 .834 .696 .680 1.770 Table 10 present the results of multiple regression analysis, where demographic variables (independent variables) are regressed against the job satisfaction (dependent variable).The R square is about 0.696 and adjusted R square is 0.680. Therefore the model can explain 68 % variation in dependent variable (Job satisfaction) due to demographic independent variables, so 32 % variance in job satisfaction is caused by other factors which are not included in the study. Table 11: Multiple Regression Model Model β SE t Sig 1 (Constant) 35.671 1.620 21.877 .000 rank -2.781 0.333 -8.339 .000 gender .151 0.301 .473 .636 age .098 0.171 .539 .591 tenure -.374 0.178 -2.099 .037 Copyright © 2012. Academy of Knowledge Process 23
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