NotesFAQContact Us
Collection
Advanced
Search Tips
Back to results
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ1242355
Record Type: Journal
Publication Date: 2020-Mar
Pages: 16
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-2159-2020
EISSN: N/A
Available Date: N/A
How Can General Intelligence Composites Most Accurately Index Psychometric "g" and What Might Be Good Enough?
Farmer, Ryan L.; Floyd, Randy G.; Reynolds, Matthew R.; Berlin, Kristoffer S.
Contemporary School Psychology, v24 n1 p52-67 Mar 2020
Intelligence tests produce composite scores that are interpreted as indexes of psychometric g. Like all measures, general intelligence composites are not pure representations of their intended construct, so it is important to evaluate the score characteristics that affect accuracy in measurement. In this study, we identified three characteristics of general intelligence composite scores that vary across intelligence tests, including the number, the g loadings, and the heterogeneity of contributing subtests. We created 77 composite scores to test the influence of these characteristics in measuring psychometric g. Internal consistency reliability coefficients and g loadings were calculated for the composites. General intelligence composites most accurately index psychometric using numerous highly g-loaded subtests. Considering confidence intervals, composites stemming from four subtests produced scores as highly g loaded as those composites that stem from additional subtests. Discussion focuses on what methods should be use to optimally measure psychometric g and how standards in constructing composites should balance psychometric and practical considerations.
Springer. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://link-springer-com.bibliotheek.ehb.be/
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A