The Role of Multiple-Group Measurement Invariance in Family Psychology Research

Autor/inn/en	Kern, Justin L.; McBride, Brent A.; Laxman, Daniel J.; Dyer, W. Justin; Santos, Rosa M.; Jeans, Laurie M.
Titel	The Role of Multiple-Group Measurement Invariance in Family Psychology Research
Quelle	(2016), (12 Seiten) PDF als Volltext (1); PDF als Volltext kostenfreie Datei (2) Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
DOI	10.1037/fam0000184
Schlagwörter	Psychology; Measurement; Error of Measurement; Measurement Objectives; Measurement Techniques; Investigations; Group Testing; Multitrait Multimethod Techniques; Structural Equation Models; Simulation; Replication (Evaluation); Predictor Variables; Predictive Validity; Test Reliability; Test Validity; Family Characteristics; Children; Longitudinal Studies; Surveys; Statistical Analysis; Early Childhood Longitudinal Survey + Suchen Sie Ihr Suchwort? Psychologie; Messverfahren; Messfehler; Messtechnik; Untersuchung; Gruppentest; Simulation program; Simulationsprogramm; Prädiktor; Testreliabilität; Testvalidität; Child; Kind; Kinder; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Survey; Umfrage; Befragung; Statistische Analyse
Abstract	Measurement invariance (MI) is a property of measurement that is often implicitly assumed, but in many cases, not tested. When the assumption of MI is tested, it generally involves determining if the measurement holds longitudinally or cross-culturally. A growing literature shows that other groupings can, and should, be considered as well. Additionally, it is noted that the standard techniques for investigating MI have been focused almost exclusively on the case of 2 groups, with very little work on the case of more than 2 groups, even though the need for such techniques is apparent in many fields of research. This paper introduces and illustrates a model building technique to investigating MI for more than 2 groups. This technique is an extension of the already-existing hierarchy for testing MI introduced by Meredith (1993). An example using data on father involvement in 5 different groups of families of children with and without developmental disabilities from the Early Childhood Longitudinal Study-Birth Cohort dataset will be given. We show that without considering the possible differential functioning of the measurements on multiple developmental groups, the differences present between the groups in terms of the measurements may be obscured. This could lead to incorrect conclusions. [Published in "Journal of Family Psychology" v30 n3 p364-374 Apr 2016.] (As Provided).
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01