Dissertation/Thesis Abstract

Predictive value of performance criteria for first-time sophomore resident assistants
by Severance, Dana A., Ed.D., Frostburg State University, 2015, 119; 10016947
Abstract (Summary)

Housing professionals are increasingly compelled to consider hiring resident assistants (RAs) from a pool of applicants that includes students with less college experience than has traditionally been expected. The purpose of the study is to determine if the success of first-time sophomore RAs differs from that of first-time upper-class RAs according to performance evaluations by their supervisors. Performance evaluations of first-time resident assistants were compared to determine if any performance evaluation criteria predicted the sophomore or non-sophomore class standing of RAs post hoc. Performance evaluation data for first-time RAs were gathered from universities in the Mid-Atlantic region of the U.S. The reported performance criteria were relationships with residents, relationships with staff, residential community development, programming, and administration. The data were analyzed using binary logistic regression. Performance criteria did not predict an RA’s class standing. Supervisors of first-time resident assistants evaluated the performance of sophomore resident assistants substantially the same as their upper-class counterparts. This result will give housing professionals more confidence in selecting students to serve as resident assistants regardless of their class standing.

Indexing (document details)
Advisor: Childs, William P., Hall, Kelly S.
Commitee: Larivee, Robert, Yarbrough, E. Boyd
School: Frostburg State University
Department: Educational Professions
School Location: United States -- Maryland
Source: DAI-A 77/07(E), Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Higher Education Administration, Educational leadership
Keywords: Binary logistic regression, College sophomore, Residence hall, Resident advisor, Resident assistant
Publication Number: 10016947
ISBN: 9781339499062
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