Conceptual clarity in measurement—Constructs, composites, and causes: a commentary on Lee, Cadogan and Chamberlain
- Roy D. Howell
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In an insightful and important article, Lee et al. (2013, this issue) clearly point out the problems with so-called formative measurement. In particular, they suggest that the MIMIC model formulation, as currently conceptualized, does not provide a solution. Their central thesis is that, in a MIMIC model, the supposedly formatively measured latent variable is empirically a reflective latent variable depending entirely on the endogenous variables included. They then look at composite variables as a possible solution. This commentary seeks to reinforce their central thesis, providing additional evidence and support. I also attempt to clarify the distinction between two types of models discussed in the article as MIMIC models. I then examine the use of composite variables, focusing on potential information loss and issues concerning conceptual clarity. I conclude that composite variables should not be routinely employed in theory testing research, and their use must be clearly justified.
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- Conceptual clarity in measurement—Constructs, composites, and causes: a commentary on Lee, Cadogan and Chamberlain
Volume 3, Issue 1 , pp 18-23
- Cover Date
- Print ISSN
- Online ISSN
- Additional Links
- Formative measurement
- Reflective measurement
- Composite variables
- Roy D. Howell (1)
- Author Affiliations
- 1. James L. Johnson Business Administration, Rawls College of Business, Texas Tech University, Lubbock, TX, 79409, USA