A PSYCHOMETRIC APPROACH TO PERSONEL SELECTION: LATENT PROFILE ANALYSIS OF PRISON OFFICER CANDIDATES

Author:

ÜNSAL ÖZBERK Elif Bengi1ORCID,ÖZBERK Eren Halil2ORCID

Affiliation:

1. Buckinghamshire New University

2. National Foundation for Educational Research

Abstract

Choosing the right candidate for the job is a continuing concern within the public and private sectors. The personnel selection systems are one of the most important factors affecting the efficiency of organizations that has to be considered carefully, which aims to find the best candidate by matching qualifications and requirements of the job. Thus, psychometric assessments are used to employ the most skilled person among applicants. One of the most significant challenges of assessing candidates is the validity of the psychometric test used to assess candidate performances. Lack of evidence on scales and candidate population may mislead recruiters to hire unqualified individuals for the position. A considerable amount of literature has been published on using psychological scales for recruitment. However, much less is known about candidate’s latent profiles. This study highlights the importance of validation of scale in recruitment and seeks to reveal the latent profiles of candidates. The latent profile analysis identified two profiles for Vocational Adjustment, Social Skills, and Self-Control. The study results indicate that advanced and low Vocational Adjustment profiles show no extreme difference in both respects except for the Time management scores. However, higher profiles outperformed on Stress, Emotional Sensitivity, and Emotional Adaptation for the Social Skills domain. Like previous findings, self-consciousness scores are the highest of all subtests among low component profiles for the Self-Control domain

Publisher

Trakya Universitesi Sosyal Bilimler Dergisi

Subject

Electrical and Electronic Engineering,Building and Construction

Reference31 articles.

1. Abtahamson, R. L., & Pickle, H. B. (1996). Introduction to Business. Gookyesr Publising Company.

2. AERA, APA, & NCME. (2014). Standards for educational and psychological testing. American Educational Research Association.

3. Akogul, S., & Erisoglu, M. (2017). An approach for determining the number of clusters in a model-based cluster analysis. Entropy, 19(9). https://doi.org/10.3390/e19090452

4. Byars, L. L., & Rue, L. W. (2000). Human Resource Management. Irwin/McGraw-Hill. https://books.google.com.tr/books?id=g9tUnxxU0tUC

5. Carless, S. A. (2009). Psychological testing for selection purposes: A guide to evidence-based practice for human resource professionals. International Journal of Human Resource Management, 20(12), 2517–2532. https://doi.org/10.1080/09585190903363821

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3