<p> Law enforcement agencies face the difficult task of identifying suitable individuals to take on jobs that require certain skills and characteristics. Training new hires requires these agencies' resources, so an important aspect of the hiring process is maximizing these resources and ensuring that as many of these individuals as possible will succeed. Pre-employment screening tools can assist with hiring by identifying notable characteristics, pathology, and attitudes either related to, or vastly different from, the position. Many assessment exist that can contribute to the pre-employment screening process, such as the Law Enforcement Applicant Inventory (LEAI). </p><p> The goal of this study was to explore the relationships between scales on the LEAI to better understand how these different areas of interest correlate. Pearson's r statistics were compiled to identify the correlations between each of the eight LEAI scales, including the Honesty, Nonviolence, Drug Avoidance, Risk Avoidance, Safety, Stress Tolerance, Criminal Justice Orientation (CJO), and Candidate Potential Index (CPI) scales. The results showed that all of the LEAI scales were statistically significantly correlated, <i> p</i> < .01, with large effect sizes, r<sup>2</sup> < .14. A post-hoc power analysis was also run to further investigate these correlations. Each post-hoc analysis yielded a power = 1.00, which may have been affected by the large sample size. Additionally, this study focused on expanding the readily available reliability statistics for the LEAI. Reliability statistics were provided for the Honesty, Nonviolence, Drug Avoidance, Risk Avoidance, Safety, Stress Tolerance, and CJO scales in the form of Cronbach's alpha coefficient and split-half reliability.</p>
Identifer | oai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:3639877 |
Date | 14 November 2014 |
Creators | Lickiss, Stephanie J. |
Publisher | Alliant International University |
Source Sets | ProQuest.com |
Language | English |
Detected Language | English |
Type | thesis |
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