The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Assessing Measurement Invariance in Cross‐National Consumer Research
Open accessAbstract
Assessing the applicability of frameworks developed in one country to other countries is an important step in establishing the generalizability of consumer behavior theories. In order for such comparisons to be meaningful, however, the instruments used to measure the theoretical constructs of interest have to exhibit adequate cross-national equivalence. We review the various forms of measurement invariance that have been proposed in the literature, organize them into a coherent conceptual framework that ties different requirements of measure equivalence to the goals of the research, and propose a practical, sequential testing procedure for assessing measurement invariance in cross-national consumer research. The approach is based on multisample confirmatory factor analysis and clarifies under what conditions meaningful comparisons of construct conceptualizations, construct means, and relationships between constructs are possible. An empirical application dealing with the single-factor construct of consumer ethnocentrism in Belgium, Great Britain, and Greece is provided to illustrate the procedure.
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Cites
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Steiger, J. H. (1990) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr2502_4 · Cited by 7,408
Simultaneous Factor Analysis in Several Populations
Jöreskog, K. G. (1971) · Psychometrika · doi:10.1007/bf02291366 · Cited by 2,051 · cited 2×
“It is acknowl- edged, however, that the order of these tests is somewhat arbitrary (cf. Bollen 1989; Jöreskog 1971) and that it EMPIRICAL ILLUSTRATION FOR may depend on the purposes of the researcher.”
BackgroundMethod
Cited by
Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
Cheung, G. W., & Rensvold, R. B. (2002) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem0902_5 · Cited by 16,280
Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance
Chen, F. F. (2007) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705510701301834 · Cited by 12,217
Vandenberg, R. J., & Lance, C. E. (2000) · Organizational Research Methods · doi:10.1177/109442810031002 · Cited by 7,997
Putnick, D. L., & Bornstein, M. H. (2016) · Developmental Review · doi:10.1016/j.dr.2016.06.004 · Cited by 4,369
“Steenkamp and Baumgartner (1998) suggested that ideally more than half of items on a factor should be invariant.”
BackgroundInfluentialInternet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model
Malhotra, N. K., Kim, S. S., & Agarwal, J. (2004) · Information Systems Research · doi:10.1287/isre.1040.0032 · Cited by 3,173
Metadata
- Authors
- Steenkamp, J. E. M., & Baumgartner, H.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1998-06
- Volume
- 25
- Issue
- 1
- Pages
- 78-107
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2098418305
- Cited by
- 4,750
- References
- 2
- FWCI
- 26.88
- Type
- journal article
- Language
- en
- Open access
- green
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