How Can General Intelligence Composites Most Accurately Index Psychometric "g" and What Might Be Good Enough?

Autor/inn/en	Farmer, Ryan L.; Floyd, Randy G.; Reynolds, Matthew R.; Berlin, Kristoffer S.
Titel	How Can General Intelligence Composites Most Accurately Index Psychometric "g" and What Might Be Good Enough?
Quelle	In: Contemporary School Psychology, 24 (2020) 1, S.52-67 (16 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Farmer, Ryan L.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2159-2020
DOI	10.1007/s40688-019-00244-1
Schlagwörter	Intelligence Tests; Scores; Psychometrics; Accuracy; Measurement; Computation; Statistical Analysis; Measurement Techniques + Suchen Sie Ihr Suchwort? Intelligence test; Intelligenztest; Psychometry; Psychometrie; Messverfahren; Statistische Analyse; Messtechnik
Abstract	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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01