Abstract

PurposeThe study synthesizes the literature on turnover intentions to assess what domains (e.g., personal characteristics, work environment, and job attitudes) account for the strongest association with turnover intent, what are the characteristics of these relationships, and how do these relationships differ by criminal justice practitioner type. MethodsThe current study utilizes a systematic review to obtain studies for conducting a meta-analysis. The researchers utilized the r family/correlation coefficient. Studies were weighted by sample size, correlations converted to Fisher’s z, analyses performed, and results converted back to r for interpretation. ResultsIn terms of the individual predictors for law enforcement, the five strongest variables included alternative job search behavior, job satisfaction, psychological distress, emotional exhaustion, procedural and distributive justice. The five strongest predictors of turnover intent for institutional corrections were normative commitment, emotional exhaustion, depersonalization, affective commitment, and job satisfaction. The five strongest predictors for community corrections included experience, alternative job search behavior, perceptions of coworkers, growth need strength, and job satisfaction. ConclusionsThe results of the meta-analysis confirmed the domain of personal characteristics, overall, has the weakest association with turnover intent whereas work environment and job attitude domains consistently display moderate-to-large effects for both law enforcement and corrections.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.