Conventional wisdom on measurement: A structural equation perspective.
1991/09/01 by Kenneth Bollen, Kenneth A. Bollen, Richard Lennox +1 · 35 citations
Decision Sciences · Social Sciences · Computer Science · #Psychometric Methodologies and Testing #Qualitative Comparative Analysis Research #Advanced Statistical Modeling Techniques
paper · doi:10.1037/0033-2909.110.2.305
Abstract
The applicability of 5 conventional guidelines for construct measurement is critically examined: (a) Construct indicators should be internally consistent for valid measures, (b) there are optimal magnitudes of correlations between items, (c) the validity of measures depends on the adequacy with which a specified domain is sampled, (d) within-construct correlations must be greater than between-construct correlations, and (e) linear composites of indicators can replace latent variables. A structural equation perspective is used, showing that without an explicit measurement model relating indicators to latent variables and measurement errors, none of these conventional beliefs hold without qualifications. Moreover, a causal indicator model is presented that sometimes better corresponds to the relation of indicators to a construct than does the classical test theory effect indicator model.
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