The Importance of Thinking Multivariately When Setting Subscale Cutoff Scores

Autor/inn/en	Kroc, Edward; Olvera Astivia, Oscar L.
Titel	The Importance of Thinking Multivariately When Setting Subscale Cutoff Scores
Quelle	In: Educational and Psychological Measurement, 82 (2022) 3, S.517-538 (22 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Kroc, Edward)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/00131644211023569
Schlagwörter	Multivariate Analysis; Cutting Scores; Classification; Measurement; Tests; Test Reliability; Scoring Formulas + Suchen Sie Ihr Suchwort? Multivariate Analyse; Classification system; Klassifikation; Klassifikationssystem; Messverfahren; Examination; Prüfung; Examen; Testreliabilität; Scoring rubrics; Auswertungsbogen
Abstract	Setting cutoff scores is one of the most common practices when using scales to aid in classification purposes. This process is usually done univariately where each optimal cutoff value is decided sequentially, subscale by subscale. While it is widely known that this process necessarily reduces the probability of "passing" such a test, what is not properly recognized is that such a test loses power to meaningfully discriminate between target groups with each new subscale that is introduced. We quantify and describe this property via an analytical exposition highlighting the counterintuitive geometry implied by marginal threshold-setting in multiple dimensions. Recommendations are presented that encourage applied researchers to think jointly, rather than marginally, when setting cutoff scores to ensure an informative test. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01