342
Views
2
CrossRef citations to date
0
Altmetric
Articles

Improving probation officer effectiveness through agency–university collaboration

, , , &
Pages 308-322 | Published online: 26 Aug 2014
 

Abstract

Collaborative research partnerships between criminal justice agencies and universities are vital to providing more effective and efficient services to the community by connecting research with practice. Unfortunately, such partnerships are not frequently sought. The tradition of autonomous research is often at least partially rooted in the perception that barriers to collaboration cannot be successfully mitigated. As external factors are increasing the pressure to collaborate, it is constructive to recognize the known barriers and strategies to overcome these hurdles. The present paper discusses an ongoing collaboration between the university researchers and a federal probation district in the assessment of an ongoing training program to improve officer interactions with offenders. Best practices are outlined and suggestions for future projects are discussed.

Acknowledgments

The authors would like to thank the three anonymous reviewers for their helpful comments on an earlier draft of this manuscript as well as the students and officers whose work made this project possible.

Notes

1. Space limitations prohibit extensive discussion about the research course for students. Authors are currently working on a manuscript describing the student-research aspect of the project and we hope this will be available to interested readers in the near future.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 239.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.