332
Views
4
CrossRef citations to date
0
Altmetric
Original Articles

Assessing natural resource internships: A social cognitive analysis of national diversity programs

ORCID Icon & ORCID Icon
Pages 96-112 | Published online: 20 Feb 2018
 

ABSTRACT

We assessed influences of conservation and natural resource (CNR) internships on minority students' perceptions of self-efficacy and CNR career goals and expectations, based on social cognitive career theory. We conducted six focus groups using Q methodology, surveyed 134 students, and followed up with 23 alumni and a control group of 11 candidates one year later to measure the impacts of three national programs. Results showed significant increases in knowledge, more positive perceptions and outcome expectations, higher self-efficacy, and increased interest in CNR careers. After one year, alumni continued reporting positive changes and greater perceptions of competitiveness for CNR careers than the control group despite both groups having similar rates of volunteerism/job history in CNR. Results also suggest the need to involve students earlier to encourage interest in CNR careers.

Acknowledgments

We thank the staff of LEAF, CDIP, and the DDCSP for their assistance and support of this research.

Funding

This study was supported by a National Science Foundation's Doctoral Dissertation Improvement Grant and the Directorate for Social, Behavioral and Economic Sciences.

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 198.00 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.