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The Fallacy of Formative Measurement
Abstract
In management research, there is a growing trend toward formative measurement, in which measures are treated as causes of constructs. Formative measurement can be contrasted with reflective measurement, in which constructs are specified as causes of measures. Although recent work seems to suggest that formative measurement is a viable alternative to reflective measurement, the emerging enthusiasm for formative measurement is based on conceptions of constructs, measures, and causality that are difficult to defend. This article critically compares reflective and formative measurement on the basis of dimensionality, internal consistency, identification, measurement error, construct validity, and causality. This comparison leads to the conclusion that the presumed viability of formative measurement is a fallacy, and the objectives of formative measurement can be achieved using alternative models with reflective measures.
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“Further, previous attempts to model previous ancillary indexes (i.e., GAI and CPI) on previous editions of the WISC have not yielded compelling evidence that they represent reflective constructs (Edwards 2011).”
From Beyond Primary Assessment on the WISC-V: An Investigation of the Structural Validity of the Ancillary Scores (2025) · cites this paper as Edwards 2011
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Metadata
- Authors
- Edwards, J. R.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Corresponding author
- Edwards, Jeffrey R.
- ORCID
- Edwards, Jeffrey R.
- Venue
- Organizational Research Methods
- Publisher
- SAGE Publications
- Published
- 2010-08-11
- Volume
- 14
- Issue
- 2
- Pages
- 370-388
- ISSN
- 1094-4281 (ISSN-L)
- 1552-7425
- OpenAlex
- W2107306814
- Cited by
- 495
- References
- 97
- Citations by year
- 2026: 25 · 2025: 29 · 2024: 24 · 2023: 41 · 2022: 38 · 2021: 36 · 2020: 24 · 2019: 39 · 2018: 34 · 2017: 33 · 2016: 30 · 2015: 37 · 2014: 23 · 2013: 50 · 2012: 22
- FWCI
- 35.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Organizational Research Methods (publishedVersion)
- Lancaster EPrints (Lancaster University) (submittedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Business, Management and Accounting › Strategy and Management › Business Strategies and Management Research
- Social Sciences › Business, Management and Accounting › Accounting › Accounting and Organizational Management
- Keywords
- formative measurement, reflective measurement, construct measurement, causality, construct validity, measurement error, identification, internal consistency, dimensionality, structural equation modeling, management research
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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