Human Cognitive Abilities: The Structure and Predictive Power of Group Factors
2019-04
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
Human Cognitive Abilities: The Structure and Predictive Power of Group Factors
Authors
Published Date
2019-04
Publisher
Type
Thesis or Dissertation
Abstract
General mental ability is one of the most powerful and venerable individual differences in I-O psychology. This project consists of two studies that provide comprehensive meta-analytic summaries of inter-correlations between cognitive abilities, and cognitive abilities’ validity for predicting a wide range of job performance criteria. The meta-analytic database created to address these questions consists of 2,356 independent samples from 1,030 separate studies (total N = 2,978,554). Results provide support for a newly developed compendium for classifying cognitive tests, which use would reduce idiosyncratic test classifications that are endemic to the I-O literature. Exploratory factor analyses produced solutions similar to the CHC model, albeit with important exceptions around visual processing, long-term retrieval, and quantitative knowledge. Results did not support age differentiation of cognitive abilities. Turning to validity against job performance criteria, this study found somewhat lower validities than previous work by Hunter and Schmidt. Contrary to previous work, no major differences in validity were observed between fluid and crystallized abilities.
Description
University of Minnesota Ph.D. dissertation. April 2019. Major: Psychology. Advisor: Deniz Ones. 1 computer file (PDF); xx, 1704 pages.
Related to
Replaces
License
Collections
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Other identifiers
Suggested citation
Kostal, Jack. (2019). Human Cognitive Abilities: The Structure and Predictive Power of Group Factors. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/220597.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.