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Cited by 255

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Operationalizing Multidimensional Constructs in Structural Equation Modeling: Recommendations for IS Research

Wright, Ryan T., Campbell, Damon E., Thatcher, Jason Bennett, Roberts, Nicholas·2012·Communications of the Association for Information Systems

Abstract

Although scholars have provided advice regarding how to conceptualize multidimensional constructs, less attention has been directed on how to evaluate structural equation models that include multidimensional constructs. Further, the extant information systems literature has provided little, and sometimes contradictory, direction on how to operationalize multidimensional constructs. This gap in how we approach multidimensional constructs merits attention because: (1) establishing construct validity is critical to testing theory and (2) recent advances in software enable testing models with multidimensional constructs more readily. Therefore, this tutorial (1) describes different forms of multidimensional constructs and (2) illustrates how to integrate superordinate and aggregate multidimensional constructs in structural equation models. In doing so, we offer guidelines and examples for how to conduct and evaluate research using multidimensional constructs.

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Metadata

Authors
Wright, R. T., Campbell, D. E., Thatcher, J. B., & Roberts, N.
Venue
Communications of the Association for Information Systems
Published
2012
Volume
30
ISSN
1529-3181 (ISSN-L)
OpenAlex
W120793229
Cited by
255
References
9
FWCI
10.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Operationalizing Multidimensional Constructs in Structural Equation Modeling: Recommendations for IS Research. https://app.cochat.ai/papers/10.17705/1cais.03023
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Wright, R. T., Campbell, D. E., Thatcher, J. B., & Roberts, N. (2012). Operationalizing Multidimensional Constructs in Structural Equation Modeling: Recommendations for IS Research. Communications of the Association for Information Systems. https://doi.org/10.17705/1cais.03023

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.