Impact of Meta—Analysis Methods
on Understanding Personality-Performance Relations
Murray R. Barrick Michael K. Mount
University of Iowa
Understanding the relations among personality dimensions and job performance is a fundamental concern of industrial-organizational (I/O) psychologists. This chapter discusses the impact that meta-analysis has had on furthering our knowledge in this area. First discussed are the results and conclusions from research conducted prior to 1990, which was based largely on narrative reviews of personality performance relations and did not utilize a taxonomy for classifying personality traits. Then examined are the results and conclusions derived from the literature based on studies conducted between 1990 and 2000 that used both metaanalysis and the Five Factor Model (FFM) to classify personality traits. Next discussed is the overall impact that meta-analysis has had on understanding personality performance relations. Finally, suggestions are provided for the role that meta-analysis can play in the future in furthering our understanding of personality-performance relations.
In order to understand the impact that meta-analysis has had on understanding personality-performance relations, it is useful to review the methods and conclusions of studies conducted prior to the meta-analytic studies, as well as the reasons for the conclusions. Literally hundreds of studies have investigated this topic over the past 25 years, which attests to its importance to the I/O field. One of the first major reviews of personality tests was conducted by Ellis