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ERIC Number: EJ1046293
Record Type: Journal
Publication Date: 2014
Pages: 16
Abstractor: As Provided
ISSN: ISSN-1536-6367
Interpretational Confounding or Confounded Interpretations of Causal Indicators?
Bainter, Sierra A.; Bollen, Kenneth A.
Measurement: Interdisciplinary Research and Perspectives, v12 n4 p125-140 2014
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.
Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: National Institutes of Health (DHHS)
Authoring Institution: N/A
Grant or Contract Numbers: DA0724421; DA035523