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The error term in formative measurement models: interpretation and modeling implications
Abstract
Purpose: To clarify the nature of the error term in formative measurement models, as it had been misinterpreted in prior research. Design/methodology/approach: The error term in formative measurement models is analytically contrasted with the measurement errors typically found in reflective measurement models. Findings: It is demonstrated that, unlike in reflective measurement, the error term in formative models is not measurement error but rather a disturbance representing non‐modeled causes. It is also shown that, under certain circumstances, the inclusion of an error term is not necessary/appropriate. Research limitations/implications: Focus is only on first‐order measurement models; higher‐order specifications are not considered. Originality/value: The paper helps researchers in their initial specification of formative measurement models as well as their evaluation of the subsequent model estimates, leading to better specifications for formative constructs.
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Metadata
- Authors
- Diamantopoulos, A.
- Venue
- Journal of Modelling in Management
- Publisher
- Emerald
- Published
- 2006-01-01
- Volume
- 1
- Issue
- 1
- Pages
- 7-17
- ISSN
- 1746-5664 (ISSN-L)
- OpenAlex
- W2074967591
- Cited by
- 343
- References
- 2
- FWCI
- 19.19
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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