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Problems in the Measurement of Latent Variables in Structural Equations Causal Models
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.
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Cites
Construct validity in psychological tests.
Cronbach, L. J., & Meehl, P. E. (1955) · Psychological Bulletin · doi:10.1037/h0040957 · Cited by 11,195
Statistics and Causal Inference
Holland, P. W. (1986) · Journal of the American Statistical Association · doi:10.1080/01621459.1986.10478354 · Cited by 5,293
Cited by
Structural Equation Modeling and Regression: Guidelines for Research Practice
Gefen, D., Straub, D., & Boudreau, M.-C. (2000) · Communications of the Association for Information Systems · doi:10.17705/1cais.00407 · Cited by 6,416
Knowledge management: An organizational capabilities perspective
Gold, A. H., Malhotra, A., & Segars, A. H. (2001) · Journal of Management Information Systems · doi:10.1080/07421222.2001.11045669 · Cited by 6,233
Diamantopoulos, A., & Siguaw, J. A. (2006) · British Journal of Management · doi:10.1111/j.1467-8551.2006.00500.x · Cited by 3,410
Revisiting sample size and number of parameter estimates: some support for the N:q hypothesis
Jackson, D. L. (2003) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem1001_6 · Cited by 1,254
Widaman, K. F., & Reise, S. P. (1997) · The science of prevention: Methodological advances from alcohol and substance abuse research. · doi:10.1037/10222-009 · Cited by 1,146
Metadata
- Authors
- Cohen, P., Cohen, J., Teresi, J., Marchi, M., & Velez, C. N.
- Venue
- Applied Psychological Measurement
- Publisher
- SAGE Publications
- Published
- 1990-06
- Volume
- 14
- Issue
- 2
- Pages
- 183-196
- ISSN
- 0146-6216 (ISSN-L)
- 1552-3497
- OpenAlex
- W1981330200
- Cited by
- 311
- References
- 2
- FWCI
- 2.78
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cohen, P., Cohen, J., Teresi, J., Marchi, M., & Velez, C. N. (1990). Problems in the Measurement of Latent Variables in Structural Equations Causal Models. Applied Psychological Measurement. https://doi.org/10.1177/014662169001400207
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