Please use this identifier to cite or link to this item: doi:10.22028/D291-41176
Title: Scaling Metric Measurement Invariance Models
Author(s): Klopp, Eric
Klößner, Stefan
Language: English
Title: Methodology
Volume: 19
Issue: 3
Pages: 192-227
Publisher/Platform: European Association of Methodology
Year of Publication: 2023
Free key words: metric measurement invariance
partial measurement invariance
scaling methods
referent indicator
equivalence
DDC notations: 330 Economics
370 Education
Publikation type: Journal Article
Abstract: This paper aims at clarifying the questions regarding the effects of the scaling method on the discrepancy function of the metric measurement invariance model. We provide examples and a formal account showing that neither the choice of the scaling method in general nor the choice of a particular referent indicator affects the value of the discrepancy function. Thus, the test statistic is not affected by the scaling method, either. The results rely on an appropriate application of the scaling restrictions, which can be phrased as a simple rule: "Apply the scaling restriction in one group only!" We develop formulas to calculate the degrees of freedom of χ²-difference tests comparing metric models to the corresponding configural model. Our findings show that it is impossible to test the invariance of the estimated loading of exactly one indicator, because metric MI models aimed at doing so are actually equivalent to the configural model.
DOI of the first publication: 10.5964/meth.10177
URL of the first publication: https://doi.org/10.5964/meth.10177
Link to this record: urn:nbn:de:bsz:291--ds-411760
hdl:20.500.11880/36946
http://dx.doi.org/10.22028/D291-41176
ISSN: 1614-2241
Date of registration: 24-Nov-2023
Description of the related object: Supplementary Materials
Related object: https://doi.org/10.17605/OSF.IO/7QKTH
Faculty: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
Department: HW - Bildungswissenschaften
HW - Wirtschaftswissenschaft
Professorship: HW - Prof. Dr. Robin Stark
HW - Keiner Professur zugeordnet
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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