A reexamination of black-white mean differences in work performance: more data, more moderators

Area of Science:

• Industrial-Organizational Psychology
• Social Psychology
• Human Resources Management

Background:

• Understanding racial differences in work performance is crucial for equitable workplace practices.
• Previous research has not comprehensively examined moderators of Black-White performance disparities.
• This study addresses the largest meta-analysis of Black-White mean differences in work performance to date.

Purpose of the Study:

• To conduct the largest meta-analysis on Black-White mean differences in work performance.
• To investigate moderators such as criterion type, cognitive load, data source, and measurement level.
• To hypothesize potential determinants underlying observed racial performance differences.

Main Methods:

• Conducted a meta-analysis of studies examining Black-White mean differences in work performance.
• Analyzed effect sizes across various moderators, including criterion type and cognitive loading.
• Examined data source (published vs. unpublished) and measurement level (single item vs. multi-item scales).

Main Results:

• A statistically significant mean difference in work performance favors White individuals (d = 0.27).
• Effect sizes were significantly moderated by criterion type and cognitive loading, with larger differences for highly cognitive tasks.
• Data source (unpublished) and measurement level (multi-item scales) also showed significant moderation.

Conclusions:

• Racial differences in work performance exist, favoring White individuals, particularly in cognitively demanding roles.
• Moderator analyses suggest that task complexity and data reporting practices influence the magnitude of these differences.
• Further research is needed to explore the specific determinants and implications of these observed racial performance disparities in the workplace.