Table 3 Gender-wise regression analysis... | Emerald Publishing

Table 3

Gender-wise regression analysis of factors influencing the overall job satisfaction

Factors	Female		Male
Factors	Regression coefficient	p-value	Regression coefficient	p-value
Administrative policies	0.03	0.575	0.08	0.303
Supervision	0.06	0.105	0.16	0.010*
Interpersonal relationships	0.01	0.825	0.05	0.569
Recognition and reward	0.10	0.026*	0.05	0.438
Working conditions	0.04	0.457	0.02	0.734
Job security	0.11	0.009*	<0.01	0.809
Nature of work	0.20	<0.001*	0.07	0.322
Professional responsibilities	<0.01	0.917	<0.01	0.589
Professional achievements	0.06	0.308	0.03	0.779
Professional advancement	0.15	0.001*	0.11	0.150
Salary	0.12	<0.001*	0.24	<0.001*

Factors	Female		Male
Factors	Regression coefficient	p-value	Regression coefficient	p-value
Administrative policies	0.03	0.575	0.08	0.303
Supervision	0.06	0.105	0.16	0.010*
Interpersonal relationships	0.01	0.825	0.05	0.569
Recognition and reward	0.10	0.026*	0.05	0.438
Working conditions	0.04	0.457	0.02	0.734
Job security	0.11	0.009*	<0.01	0.809
Nature of work	0.20	<0.001*	0.07	0.322
Professional responsibilities	<0.01	0.917	<0.01	0.589
Professional achievements	0.06	0.308	0.03	0.779
Professional advancement	0.15	0.001*	0.11	0.150
Salary	0.12	<0.001*	0.24	<0.001*

Note(s): *p-value <0.05 (statistically significant); adjusted for faculty members profile characteristics