A Tutorial on Mechanical Decision-Making for Personnel and Educational Selection

Frontiers in Psychology

article

Rob R. Meijer¹  Marvin Neumann¹  Bas T. Hemker²  A. Susan M. Niessen¹ 

[1] Department of Psychometrics and Statistics, Faculty of Behavioral and Social Sciences, University of Groningen;Department of Psychometrics and Research in Educational Measurement

关键词: mechanical prediction;    clinical prediction;    decision-making;    educational selection;    personnel selection;    prediction;   

DOI  :  10.3389/fpsyg.2019.03002

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

In decision-making, it is important not only to use the correct information but also to combine information in an optimal way. There are robust research findings that a mechanical combination of information for personnel and educational selection matches or outperforms a holistic combination of information. However, practitioners and policy makers seldom use mechanical combination for decision-making. One of the important conditions for scientific results to be used in practice and to be part of policy-making is that results are easily accessible. To increase the accessibility of mechanical judgment prediction procedures, we (1) explain in detail how mechanical combination procedures work, (2) provide examples to illustrate these procedures, and (3) discuss some limitations of mechanical decision-making.

【 授权许可】

CC BY