Downloads provided by UsageCounts
This study intended to establish the best-fit structural model of job engagement of police personnel in Region 11. The exogenous variables are political skills, resilience at work, and public service motivation, while the endogenous variable is job engagement. Through quota sampling,400 police personnel from Region XI responded to the survey. Structural Equation Modeling (SEM), Mean, Pearson r, and Multiple Regression were used to analyze the data. Results showed that besides respondents' very high political skills, resilience at work, public service motivation, and job performance, a significant relationship exists among between these variables. The multiple regression analysis revealed that the influence of political skills, resilience at work, and public service motivation on job engagement was 67.8%. Only Model 5 met all goodness of fit indices among the five generated models. Further analysis of the model bared that all indicators of the exogenous variables included at the beginning of the study are predictors of job performance. These manifest variables for political skills are networking ability, social astuteness, interpersonal influence, and apparent sincerity. For resilience at work, the manifest variables include living authentically, finding a calling, maintaining perspective, managing stress, building social connections, and staying healthy. For public service motivation, themanifest variables are self-sacrifice, attraction to policymaking, and compassion. On the other hand, the manifest variables for job engagement are cognitive, emotional, and physical. The results have implications for policing in the Philippines.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 5 | |
| downloads | 12 |

Views provided by UsageCounts
Downloads provided by UsageCounts