Examining Parallelism of Sets of Psychometric Measures Using Latent Variable Modeling

Autor/inn/en	Raykov, Tenko; Patelis, Thanos; Marcoulides, George A.
Titel	Examining Parallelism of Sets of Psychometric Measures Using Latent Variable Modeling
Quelle	In: Educational and Psychological Measurement, 71 (2011) 6, S.1047-1064 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164410391250
Schlagwörter	Models; Psychometrics; Evaluation Methods; Evaluation Research; Measurement Techniques; Equations (Mathematics); Goodness of Fit; Matrices + Suchen Sie Ihr Suchwort? Analogiemodell; Psychometry; Psychometrie; Evaluationsforschung; Messtechnik; Equations; Mathematics; Gleichungslehre; Matrizenrechnung
Abstract	A latent variable modeling approach that can be used to examine whether several psychometric tests are parallel is discussed. The method consists of sequentially testing the properties of parallel measures via a corresponding relaxation of parameter constraints in a saturated model or an appropriately constructed latent variable model. The underlying procedure is readily used in cases with at least three single measures studied for parallelism and is directly extended to the setting of multiple-component measuring instruments. The methodological limitations concerning intended attempts to test if two given measures are parallel are also explicated. The proposed modeling approach is illustrated with an example. (Contains 5 notes, 2 figures and 3 tables.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10