The DOI matches its Crossref record.
Latent Structure Models with Direct Effects between Indicators: Local Dependence Models
Abstract
A basic assumption of latent structure models is that of local independence: given the score on the latent variable, the scores on the manifest variables are independent of each other. This basic assumption is violated when test-retest effects, response consistency effects, correlated response errors, and so forth are present. However, it is possible to reformulate the latent class model in such a way that these direct relations between the indicators (manifest variables) can be accounted for. The reformulation proposed here, takes place within the framework of log-linear modeling.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Generalized Multilevel Structural Equation Modeling
Rabe-Hesketh, S., Skrondal, A., & Pickles, A. (2004) · Psychometrika · doi:10.1007/bf02295939 · Cited by 831
Bakk, Z., Tekle, F. B., & Vermunt, J. K. (2013) · Sociological Methodology · doi:10.1177/0081175012470644 · Cited by 629
Clogg, C. C. (1995) · Handbook of Statistical Modeling for the Social and Behavioral Sciences · doi:10.1007/978-1-4899-1292-3_6 · Cited by 621
Gene-environment interactions between CRHR1 variants and physical assault in suicide attempts
Ben-Efraim, Y. J., Wasserman, D., Wasserman, J., & Sokolowski, M. (2011) · Genes, Brain and Behavior · doi:10.1111/j.1601-183x.2011.00703.x · Cited by 83
Latent class subtyping of attention-deficit/hyperactivity disorder and comorbid conditions
Acosta, M. T., Castellanos, F. X., Bolton, K. L., Balog, J. Z., Eagen, P., Nee, L., Jones, J., Palacio, L., Sarampote, C., Russell, H. F., et al. (2008) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/chi.0b013e318173f70b · Cited by 82
Metadata
- Authors
- HAGENAARS, J. A.
- Venue
- Sociological Methods & Research
- Publisher
- SAGE Publications
- Published
- 1988-02
- Volume
- 16
- Issue
- 3
- Pages
- 379-405
- ISSN
- 0049-1241 (ISSN-L)
- 1552-8294
- OpenAlex
- W2053325424
- Cited by
- 219
- References
- 0
- FWCI
- 3.76
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Latent Structure Models with Direct Effects between Indicators: Local Dependence Models. https://app.cochat.ai/papers/10.1177/0049124188016003002
- The paper
- HAGENAARS, J. A. (1988). Latent Structure Models with Direct Effects between Indicators: Local Dependence Models. Sociological Methods & Research. https://doi.org/10.1177/0049124188016003002
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.