This is the QA environment of the MD-SOAR platform. It is for TESTING PURPOSES ONLY. Navigate to https://mdsoar.org to access the latest open access research from MD-SOAR institutions.
QA Environment
 

FSU Staff Collection

Permanent URI for this collection

Browse

Recent Submissions

Now showing 1 - 2 of 2
  • Item
    ERM Ideas & Innovations: The Evolution of E-Resources Management in a Small Academic library – Paraprofessional Staff and Librarian Perspectives
    (2020-09-04) Lowe, Randall A.; Frost, Nancy A.; Zumbrun, Emily A.
    Two paraprofessional staff members and their supervising librarian provide perspectives on the effect that a major shift in operational focus had on a small academic library’s acquisitions department. Staff members detail how their jobs changed as well as the challenges they faced when transitioning from a largely print-based operation to one in which working with electronic resources came to comprise the majority of their responsibilities. The supervising librarian addresses some of the managerial challenges present throughout this process, as well as corrective actions taken as informed through engaging staff in regular and frank dialogue.
  • Item
    Predictive Value of Performance Criteria for First-Time Sophomore Resident Assistants
    (2015) Severance, Dana A.; Childs, William P.; Hall, Kelly S.; Department of Educational Professions; Doctor of Education, Educational Leadership (Ed.D.)
    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.