Employment Test Validation Based Upon Limited Criteria
Date: May 1960
Creator: Stuckey, Billy J.
Description: This study is concerned with the experience of a particular company which undertook to improve its selection program through the installation of a test battery. This involved special adaptations of techniques commonly employed in industrial situations.
Contributing Partner: UNT Libraries
Permallink:digital.library.unt.edu/ark:/67531/metadc130429/
Job Embeddedness as a Predictor of Voluntary Turnover: Validation of a New Instrument
Access: Use of this item is restricted to the UNT Community.
Date: December 2003
Creator: Besich, John S.
Description: Voluntary turnover has become a problem for many organizations in today's society. The cost of this turnover reaches beyond organizational impact, but also affects the employees themselves. For this reason, there has been a plethora of research conducted by both academicians and practitioners on the causes and consequences of voluntary turnover. The purpose of this study is to test the validity and generalizability of the job embeddedness model of voluntary turnover to the information technology (IT) industry. The IT field has been plagued with high turnover rates in recent years. In this study, the job embeddedness model (Mitchell et al., 2001) is applied to a population sample consisting of health care information technology employees.
Contributing Partner: UNT Libraries
Permallink:digital.library.unt.edu/ark:/67531/metadc4370/
Enhancing the Quality of Metadata: Modular Approach to Digital Resource Lifecycle Management
Date: March 16, 2007
Creator: Alemneh, Daniel Gelaw & Phillips, Mark Edward
Description: This Tech Talk presentation discusses digital resource management. The UNT Libraries participate in a number of collaborative and in-house digital initiatives. In managing digital resources, the Libraries utilize locally qualified Dublin Core-based descriptive metadata along with detailed technical and preservation metadata elements. Metadata quality is influenced by both local and collaborative requirements. Because poor metadata quality can result in ambiguity, poor recall and inconsistent search results, the UNT Libraries use quality assurance mechanisms during metadata creation and employ specialized metadata analysis tools after the files are ingested into digital archives. Templates, validation, controlled vocabularies, analysis tools, graphical reports, and more are explained in this presentation.
Contributing Partner: UNT Libraries
Permallink:digital.library.unt.edu/ark:/67531/metadc29296/