CitationBainter, Sierra A. & Bollen, Kenneth A. (2014). Interpretational Confounding or Confounded Interpretations of Causal Indicators?. Measurement: Interdisciplinary Research and Perspectives, 12(4), 125-140. PMCID: PMC4267575
AbstractIn measurement theory causal indicators are controversial and little-understood. Methodological disagreement concerning causal indicators has centered on the question of whether causal indicators are inherently sensitive to interpretational confounding, which occurs when the empirical meaning of a latent construct departs from the meaning intended by a researcher. This article questions the validity of evidence used to claim that causal indicators are inherently susceptible to interpretational confounding. Further, a simulation study demonstrates that causal indicator coefficients are stable across correctly-specified models. Determining the suitability of causal indicators has implications for the way we conceptualize measurement and build and evaluate measurement models.
Reference TypeJournal Article
Journal TitleMeasurement: Interdisciplinary Research and Perspectives
Author(s)Bainter, Sierra A.
Bollen, Kenneth A.