Date on Master's Thesis/Doctoral Dissertation

12-2017

Document Type

Doctoral Dissertation

Degree Name

Ph. D.

Department

Counseling and Human Development

Degree Program

Counseling and Personnel Services, PhD

Committee Chair

Hirschy, Amy

Committee Co-Chair (if applicable)

Mardis, J. Michael

Committee Member

Mardis, J. Michael

Committee Member

Valentine, Jeff

Committee Member

Gross, Jake

Author's Keywords

university; college student; concerning behavior; threat assessment; care team

Abstract

At universities, the responsibility for safety falls on teams of professionals who collect information, assess risk, and provide appropriate resources for referrals of concerning behavior (Randazzo & Plummer, 2009). This dissertation describes the demographic profile and nature of referrals to the Student Care Team (SCT) at the University of Louisville during 2010-2015. Using Astin’s (1991) Input-Environment-Output model, this research analyzed the demographic profile of referred students (input) and the nature of incidents that comprise the student care caseload such as incidents of self-injurious behavior, medical hospital transportation and violence (environment). To measure the prediction of academic advancement (output), the dichotomous measure of earning of attempted credit hours for the semester which they were referred was used. Findings suggest the demographic profile was representative of the population at the University of Louisville. However, first-year students were referred more frequently than other classifications for every referral type (37%). Referrals were most commonly for medical hospital transportation (24%), general care (18%), and self-injurious behavior (15%) by the university police department. When considering the students who were referred to the SCT, logistic regression results revealed several negative predictors for academic advancement: first-year, graduate students, students discussed by the SCT three or more times, referrals during week, and referrals for self-injurious behavior. Recommendations for practice and research are offered.

Download

Share

COinS