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History and development of the Schmidt-Hunter meta-analysis methods
1Department of Management and Organizations, Tippie College of Business, University of Iowa, Iowa City, IA, 52242, USA.
The Schmidt-Hunter meta-analysis methods were developed to address low statistical power in validity studies. Corrections for research artifacts revealed that most tests possess high, generalizable predictive validity.
Area of Science:
- Psychometrics
- Organizational Psychology
- Research Methodology
Background:
- The US Office of Personnel Management (OPM) initiated research in the 1970s on personnel selection.
- Low statistical power in validity studies necessitated improved methods for demonstrating test validity, particularly due to legal challenges.
- The development of meta-analysis methods, initially termed validity generalization, was a response to these needs.
Observation:
- Variability in validity estimates across studies was primarily attributed to sampling error and research artifacts.
- Key artifacts identified included variations in range restriction and measurement error.
- Corrections for these artifacts were applied in original research and subsequent replications.
Findings:
- Corrected validity estimates indicated that most tests exhibit high predictive validity.
- The predictive validity of tests was found to be generalizable across different contexts.
- These findings challenged established beliefs within the field.
Implications:
- The Schmidt-Hunter meta-analysis methods have evolved since their inception in the 1970s.
- Subsequent publications in 1982, 1990, 2004, and 2014 expanded the application of these methods.
- The methods are now widely applied across diverse research areas, demonstrating their broad utility and impact.
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