Problems in the Measurement of Latent Variables in Structural Equations Causal Models

@article{citeulike:2081667, abstract = {Some problems in the measurement of latent variables in structural equations causal models are presented, with examples from recent empirical studies. Latent variables that are theoretically the source of correlation among the empirical indica tors are differentiated from unmeasured variables that are related to the empirical indicators for other reasons. It is pointed out that these should also be represented by different analytical models, and that much published research has treated this distinction as if it had no analytic consequences. The connection between this theoretical distinction and disattenuation effects in latent variable models is shown, and problems with these estimates are discussed. Finally, recommendations are made for decisions about whether and how to measure latent variables when manifest variables are potentially available. 10.1177/014662169001400207}, author = {Cohen, Patricia and Cohen, Jacob and Teresi, Jeanne and Marchi, Margaret and Velez, Noemi C. }, citeulike-article-id = {2081667}, doi = {http://dx.doi.org/10.1177/014662169001400207}, journal = {Applied Psychological Measurement}, keywords = {latent, sem, variables}, month = {June}, number = {2}, pages = {183--196}, posted-at = {2008-01-20 19:56:51}, priority = {2}, title = {Problems in the Measurement of Latent Variables in Structural Equations Causal Models}, url = {http://dx.doi.org/10.1177/014662169001400207}, volume = {14}, year = {1990} }

TY - JOUR ID - citeulike:2081667 L3 - citeulike-article-id:2081667 TI - Problems in the Measurement of Latent Variables in Structural Equations Causal Models JF - Applied Psychological Measurement VL - 14 IS - 2 SP - 183 EP - 196 N2 - Some problems in the measurement of latent variables in structural equations causal models are presented, with examples from recent empirical studies. Latent variables that are theoretically the source of correlation among the empirical indica tors are differentiated from unmeasured variables that are related to the empirical indicators for other reasons. It is pointed out that these should also be represented by different analytical models, and that much published research has treated this distinction as if it had no analytic consequences. The connection between this theoretical distinction and disattenuation effects in latent variable models is shown, and problems with these estimates are discussed. Finally, recommendations are made for decisions about whether and how to measure latent variables when manifest variables are potentially available. 10.1177/014662169001400207 KW - latent KW - sem KW - variables AU - Cohen, Patricia AU - Cohen, Jacob AU - Teresi, Jeanne AU - Marchi, Margaret AU - Velez, Noemi PY - 1990/06/01/ UR - http://dx.doi.org/10.1177/014662169001400207 ER -