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Download fileMaterial and efficient cause interpretations of the formative model: resolving misunderstandings and clarifying conceptual language
journal contribution
posted on 2015-06-05, 12:16 authored by John Cadogan, Nick Lee, Laura ChamberlainThis paper presents a causal explanation of formative variables that unpacks and clarifies the generally accepted idea that formative indicators are ‘causes’ of the focal formative variable. In doing this, we explore the recent paper by Diamantopoulos and Temme (AMS Review, 3(3), 160-171, 2013) and show that the latter misunderstand the stance of Lee, Cadogan, and Chamberlain (AMS Review, 3(1), 3-17, 2013; see also Cadogan, Lee, and Chamberlain, AMS Review, 3(1), 38-49, 2013). By drawing on the multiple ways that one can interpret the idea of causality within the MIMIC model, we then demonstrate how the continued defense of the MIMIC model as a tool to validate formative indicators and to identify formative variables in structural models is misguided. We also present unambiguous recommendations on how formative variables can be modelled in lieu of the formative MIMIC model.
History
School
- Business and Economics
Department
- Business
Published in
AMS ReviewVolume
4Issue
1-2Pages
32 - 43Citation
CADOGAN, J.W., LEE, N.J. and CHAMBERLAIN, L., 2014. Material and efficient cause interpretations of the formative model: resolving misunderstandings and clarifying conceptual language. AMS Review, 4 (1-2), pp. 32 - 43Publisher
© Springer/© Academy of Marketing ScienceVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2014Notes
The final publication is available at Springer via http://dx.doi.org/10.1007/s13162-013-0058-5ISSN
1869-814XeISSN
1869-8182Publisher version
Language
- en