Multiple-Indicator, Multiple-Cause Models for a Single Latent Variable with Ordinal Indicators
Bibliographic Data
| ID | 10941509 |
|---|---|
| Authors | Barry V Bye (Social Security Administration, corresponding author), Salvatore J Gallicchio (Social Security Administration), JANICE M DYKACZ (Social Security Administration) |
| Year | 1985 |
| Volume | 13 |
| Issue | 4 |
| Pages | 487-509 |
| Publication date | 1985-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sociological Methods & Research (JOURNAL) |
| Journal identifiers | ISSN: 0049-1241 • E-ISSN: 1552-8294 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0049124185013004003 |
| OpenAlex | W2018595850 |
| Language | EN |
| Citations received | 6 |
| References cited | 12 |
A MIMIC model is developed that contains a one-dimensional latent variable measured by ordinal indicators. The latent variable can be either discrete and ordered or continuous. Parameters for both the measurement and structural components of the model are estimated simultaneously using the EM algorithm. An example of a sociological application is presented
Econometrics · Latent class model · Latent variable · Latent variable model · Local independence · Mathematical analysis · Ordinal data · Ordinal regression · Ordinal Scale · Statistics · Structural equation modeling · Variable (mathematics · Advanced Statistical Methods and Models · Bayesian Modeling and Causal Inference · Computer Science · Mathematics · Statistical Methods and Bayesian Inference
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| Unique citing works | 6 |
|---|---|
| Citations per year | 0,15 |
| Citation span | 1987 - 2018 (32) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 6 |