Interpretational Confounding or Confounded Interpretations of Causal Indicators?

Bainter, Sierra A; & Bollen, Kenneth A. (2014). Interpretational Confounding or Confounded Interpretations of Causal Indicators? Measurement: Interdisciplinary Research and Perspectives, 12(4), 125-40. PMCID: PMC4267575

Bainter, Sierra A; & Bollen, Kenneth A. (2014). Interpretational Confounding or Confounded Interpretations of Causal Indicators? Measurement: Interdisciplinary Research and Perspectives, 12(4), 125-40. PMCID: PMC4267575

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In 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.


I
1E
2d


JOUR



Bainter, Sierra A
Bollen, Kenneth A.



2014


Measurement: Interdisciplinary Research and Perspectives

12

4

125-40








PMC4267575


8786

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