Indeterminacy Problems in the Lisrel Model
Bibliographic Data
| ID | 19291945 |
|---|---|
| Authors | G Vittadini (0000-0002-0375-9763, corresponding author) |
| Year | 1989 |
| Volume | 24 |
| Issue | 4 |
| Pages | 397-414 |
| Publication date | 1989-10-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Multivariate Behavioral Research (JOURNAL) |
| Journal identifiers | ISSN: 0027-3171 • E-ISSN: 1532-7906 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1207/s15327906mbr2404_1 |
| PMID | 26753506 |
| OpenAlex | W2066117976 |
| Language | EN |
| Citations received | 5 |
| References cited | 15 |
The latent variables and errors of the Lisrel model are indeterminate even when the parameters of the model are perfectly identified. The reason for the indeterminacy is that the Lisrel model gives a solution in terms of estimation of latent variables by means of observed variables. The indeterminacy is relevant also in practice; the minimum correlation between equivalent latent variables, is often negative in empirical examples. The degree of indeterminacy of the latent variables depends on the data. The average minimum correlation is a linear combination of the eigenvalues of the correlation matrix of solutions and it is always included in weak bounds which depend on the same eigenvalues
Canonical correlation · Correlation · Covariance matrix · Econometrics · Eigenvalues and eigenvectors · Indeterminacy (philosophy) · Indeterminate · Latent class model · Latent variable · Latent variable model · LISREL · Statistics · Structural equation modeling · Applied Mathematics · Bayesian Modeling and Causal Inference · Mathematics · Statistical and numerical algorithms · Statistical Methods and Inference
| Citations per year | 0.17 |
|---|---|
| Citation span | 1996 - 2014 (19) |
| Highly cited | No |