Role of Gender Variances in Job Satisfaction of Employee Working in Public Sector Universities

This research aims to investigate the association of gender dissimilarities and job satisfaction among employees working in public sector Universities. Structural equation modeling approach using Smart PLS is employed to test hypotheses on 410 samples of university officers. The findings reveal that the gender differences have positive relationship with employee job satisfaction. Moreover, there are various factors alike organizational commitment, working conditions which are not considered in this research. Furthermore, current research has stressed on the significance of HR practices in public sector universities to manage diversity. The research implications suggest that authorities relating to public sector universities private banking sector of Pakistan needs to pay attention on rewards and recognition activities as employees expect rewards according to their efforts.

Psychosocial Determinants and Consequences of Psychopthic Trends Among Forensic and Non-Forensic Samples

The present research project was designed to study the psychosocial determinants and consequences of psychopathic trends in forensic and non-forensic samples. The sequential explanatory mixed methods research design was used. The project comprised three phases. In phase I of the study, two study measures: Self- Reported Psychopathy Scale-III-R (Paulhus, Neumann & Hare, 2009) and Tromoso Social Intelligence Scale (Silvera, Martinussen, & Dahl, 2001) were translated and validated. Phase II was designed to assess the determinants and consequences of psychopathic trends in forensic and non-forensic samples. In Phase II, a correlational survey study was carried out on a non-forensic sample (n= 550) and a forensic sample (n= 200) with 500 men and 250 women of age range between 20-44 years (M age= 29.0; SD= 6.8). The forensic sample was taken from District and Central jails of Faisalabad city while, the comparable nonforensic sample was selected from the general population of Punjab province. Demographic data sheet, Self- Report Psychopathy Scale (Paulhus et al., 2009), Social Intelligence Scale (Silvera et al., 2001), Personality Assessment Questionnaire (Rohner, 2005), Ryff’s Scale of Psychological Well Being (Ryff & Keyes, 1995) and Satisfaction with Life Scale (Diener, Emmons, Larsen, & Griffin, 1985) were used to collect the data. The results of regression analyses revealed that three negative personality predispositions (viz., dependency, negative self- adequacy and emotional unresponsiveness), two factors of social intelligence (viz., social information processing and social awareness), psychopathic trends (primary and secondary), and demographic variables (gender and job-type: government and private) appeared as the significant predictors of psychological well- being while, negative personality predispositions (composite score, a subtype of negative personality disposition: self- esteem), and income groups significantly predicted satisfaction with life. In mediational path analysis, psychopathic trends appeared as significant mediators between overall negative personality predispositions, psychological well- being and life satisfaction; similarly, in another mediation model, psychopathic trends mediated the relationship between social intelligence, psychological well -being and life satisfaction. In MANOVA, group differences appeared on three study variables (i.e., psychopathic trends, negative personality predispositions, and psychological well- being) in terms of gender, and on all study variables in terms of other selective demographic variables (i.e., income, job-type: government /private, and study groups: forensic and non-forensic). In Phase III, a qualitative study with a sample of 20 (n= 10 forensic; n= 10 non-forensic) who scored 2 SD above the mean on the Self- Report Psychopathy Scale-III in Phase II was carried out to indigenously explore the determinants and consequences of psychopathic trends. The age of the sample ranged between 20-44 years. The forensic sample comprised (6 men; 4 women) while non-forensic samples consisted (10 men) from the general population of Faisalabad District. A thematic analysis revealed nine major themes with respect to psychosocial determinants of psychopathic trends (viz., adverse childhood experiences, parenting/ parental attributes, home environment, sibling’s interaction, social factors, punishment, contextual factors, involvement in illegal/ criminal acts and negative personality attributes). The consequences of psychopathic trends appeared in five major themes (viz., psychological issues, social issues, health issues, financial/ professional issues and changed self). In addition to unique indigenous factors contributing to psychopathic trends, the qualitative study validated the results of the quantitative study. Implications of the study were discussed.