Can the One-Parameter Logistic Model Be a Spurious Finding for a Heterogeneous Population?

Autor/inn/en	Raykov, Tenko; Marcoulides, George A.; Harrison, Michael
Titel	Can the One-Parameter Logistic Model Be a Spurious Finding for a Heterogeneous Population?
Quelle	In: Measurement: Interdisciplinary Research and Perspectives, 17 (2019) 4, S.192-199 (8 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1536-6367
DOI	10.1080/15366367.2019.1591834
Schlagwörter	Models; Evaluation Methods; Social Science Research; Statistical Analysis; Measurement Techniques + Suchen Sie Ihr Suchwort? Analogiemodell; Social scientific research; Sozialwissenschaftliche Forschung; Statistische Analyse; Messtechnik
Abstract	Utilizing the perspective of finite mixture modeling, this note considers whether a finding of a plausible one-parameter logistic model could be spurious for a population with substantial unobserved heterogeneity. A theoretically and empirically important setting is discussed involving the mixture of two latent classes, with the less restrictive two-parameter logistic model holding within each of the classes while the more restrictive one-parameter logistic model is plausible overall. A numerical example is presented then of obtaining the one-parameter logistic model as a spurious result in a finite mixture study. Implications for behavioral and social research are discussed in light of these findings. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01