Calling Models with Causal Indicators "Measurement Models" Implies More than They Can Deliver

Autor/inn/en	Rhemtulla, Mijke; van Bork, Riet; Borsboom, Denny
Titel	Calling Models with Causal Indicators "Measurement Models" Implies More than They Can Deliver
Quelle	In: Measurement: Interdisciplinary Research and Perspectives, 13 (2015) 1, S.59-62 (4 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1536-6367
DOI	10.1080/15366367.2015.1016343
Schlagwörter	Stellungnahme; Causal Models; Measurement; Data Interpretation; Statistical Data; Identification + Suchen Sie Ihr Suchwort? Kausalanalyse; Messverfahren; Data evaluation; Datenauswertung; Identifikation; Identifizierung
Abstract	In this commentary, Mijke Rhemtulla, Riet van Bork, and Denny Borsboom write that they were delighted to see Bainter and Bollen's paper as a focus article in "Measurement." In their view, psychological researchers who use SEM rely too reflexively on reflective measurement, without sufficiently considering whether their indicators are likely to be caused by the latent construct. When causality flows from indicators to the construct, fitting a reflective model will result in model misfit, misspecification, incorrect parameter estimates, and fruitless discussion about the underlying factor structure of a questionnaire. They posit here that this is a topic that requires greater awareness. (ERIC).
Anmerkungen	Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01