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The error term in formative measurement models: interpretation and modeling implications

The error term in formative measurement models: interpretation and modeling implications 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Modelling in Management Emerald Publishing

The error term in formative measurement models: interpretation and modeling implications

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References (30)

Publisher
Emerald Publishing
Copyright
Copyright © 2006 Emerald Group Publishing Limited. All rights reserved.
ISSN
1746-5664
DOI
10.1108/17465660610667775
Publisher site
See Article on Publisher Site

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.

Journal

Journal of Modelling in Management – Emerald Publishing

Published: Jan 1, 2006

Keywords: Measurement; Modelling; Error analysis

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