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Interpretational Confounding or Confounded Interpretations of Causal Indicators?
| Content Provider | Scilit |
|---|---|
| Author | Bainter, Sierra Bollen, Kenneth A. |
| Copyright Year | 2014 |
| Description | 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. |
| Related Links | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267575/pdf |
| Ending Page | 140 |
| Page Count | 16 |
| Starting Page | 125 |
| ISSN | 15366367 |
| e-ISSN | 15366359 |
| DOI | 10.1080/15366367.2014.968503 |
| Journal | Measurement: Interdisciplinary Research and Perspectives |
| Issue Number | 4 |
| Volume Number | 12 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2014-10-02 |
| Access Restriction | Open |
| Subject Keyword | Journal: Measurement: Interdisciplinary Research and Perspectives Political Science Measurement Latent Variables Structural Equation Modeling Causal Indicators Formative Measurement |
| Content Type | Text |
| Subject | Applied Mathematics Statistics and Probability Education |
