It Matters: Reference Indicator Selection in Measurement Invariance Tests

Autor/inn/en	Thompson, Yutian T.; Song, Hairong; Shi, Dexin; Liu, Zhengkui
Titel	It Matters: Reference Indicator Selection in Measurement Invariance Tests
Quelle	In: Educational and Psychological Measurement, 81 (2021) 1, S.5-38 (34 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Song, Hairong) ORCID (Shi, Dexin)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164420926565
Schlagwörter	Measurement; Statistical Analysis; Selection; Comparative Analysis; Children; Foreign Countries; Measures (Individuals); Anxiety; Bayesian Statistics; Structural Equation Models; China + Suchen Sie Ihr Suchwort? Messverfahren; Statistische Analyse; Auslese; Child; Kind; Kinder; Ausland; Messdaten; Angst
Abstract	Conventional approaches for selecting a reference indicator (RI) could lead to misleading results in testing for measurement invariance (MI). Several newer quantitative methods have been available for more rigorous RI selection. However, it is still unknown how well these methods perform in terms of correctly identifying a truly invariant item to be an RI. Thus, Study 1 was designed to address this issue in various conditions using simulated data. As a follow-up, Study 2 further investigated the advantages/disadvantages of using RI-based approaches for MI testing in comparison with non-RI-based approaches. Altogether, the two studies provided a solid examination on how RI matters in MI tests. In addition, a large sample of real-world data was used to empirically compare the uses of the RI selection methods as well as the RI-based and non-RI-based approaches for MI testing. In the end, we offered a discussion on all these methods, followed by suggestions and recommendations for applied researchers. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01