Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


SHEA 4.3.pdf (609.46 KB)

Digital Accessibility Report

File List


SHEA 4.3.pdf.accreport.html (7.85 KB)

ETD Abstract Container

Abstract Header

Specific Cognitive Abilities: Exploring the Use of Psychometric Network Analysis for Predicting Occupational and Educational Outcomes

Shea, Michael
http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1710885318657061

Abstract Details

2024, Doctor of Philosophy (Ph.D.), Bowling Green State University, Psychology/Industrial-Organizational.
The current study bridges the gap between the intelligence literature and applied psychology fields such as industrial-organizational psychology and educational psychology by examining the practical utility of psychometric network models of intelligence. Using data from Project TALENT, this study first demonstrated that a psychometric network provided a better fit to the data than common confirmatory factor models such as a g model, correlated factors models, hierarchical model, and a bifactor model. Second, the study demonstrated that specific ability scores based on the network may provide a marginal increase in the variance explained in outcomes of interest compared to g and factor scores; however, scores informed by the network may not provide much advantage in terms of subgroup differences over factor scores. For both validity and subgroup differences, the g composite was consistently the worst performing method in the study. The results of the study underline the importance of considering specific abilities in selection systems. In addition, researchers and practitioners should continue to explore psychometric networks.
Samuel McAbee, Ph.D. (Committee Chair)
Melissa Keith, Ph.D. (Committee Member)
Jari Willing, Ph.D. (Committee Member)
Jeanne Novak, Ph.D. (Other)
75 p.
Psychology
intelligence; psychometric networks; selection; GPA; validity;

Recommended Citations

Citations

  • Shea, M. (2024). Specific Cognitive Abilities: Exploring the Use of Psychometric Network Analysis for Predicting Occupational and Educational Outcomes [Doctoral dissertation, Bowling Green State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1710885318657061

    APA Style (7th edition)

  • Shea, Michael. Specific Cognitive Abilities: Exploring the Use of Psychometric Network Analysis for Predicting Occupational and Educational Outcomes. 2024. Bowling Green State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1710885318657061.

    MLA Style (8th edition)

  • Shea, Michael. "Specific Cognitive Abilities: Exploring the Use of Psychometric Network Analysis for Predicting Occupational and Educational Outcomes." Doctoral dissertation, Bowling Green State University, 2024. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1710885318657061

    Chicago Manual of Style (17th edition)

bgsu1710885318657061
278
© 2024, all rights reserved.
This open access ETD is published by Bowling Green State University and OhioLINK.
Release 3.2.12