The DOI matches its Crossref record.
Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models
Abstract
"Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models." Journal of the American Statistical Association, 100(470), pp. 710–711
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
Integrative data analysis: The simultaneous analysis of multiple data sets
Curran, P. J., & Hussong, A. M. (2009) · Psychological Methods · doi:10.1037/a0015914 · Cited by 867
So Many Variables: Joint Modeling in Community Ecology
Warton, D. I., Blanchet, F. G., O’Hara, R. B., Ovaskainen, O., Taskinen, S., Walker, S. C., & Hui, F. K. C. (2015) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2015.09.007 · Cited by 854
Serum Vaccine Antibody Concentrations in Children Exposed to Perfluorinated Compounds
Grandjean, P., Andersen, E. W., Budtz-Jørgensen, E., Nielsen, F., Mølbak, K., Weihe, P., & Heilmann, C. (2012) · JAMA · doi:10.1001/jama.2011.2034 · Cited by 809
Chu, H., & Cole, S. R. (2006) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2006.06.011 · Cited by 708
The curiosity and exploration inventory-II: Development, factor structure, and psychometrics
Kashdan, T. B., Gallagher, M. W., Silvia, P. J., Winterstein, B. P., Breen, W. E., Terhar, D., & Steger, M. F. (2009) · Journal of Research in Personality · doi:10.1016/j.jrp.2009.04.011 · Cited by 674
Metadata
- Authors
- Corrado, L.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 2005-06
- Volume
- 100
- Issue
- 470
- Pages
- 710-711
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W1480055634
- Cited by
- 176
- References
- 0
- FWCI
- 6.24
- 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: Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models. https://app.cochat.ai/papers/10.1198/jasa.2005.s25
- The paper
- Corrado, L. (2005). Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models. Journal of the American Statistical Association. https://doi.org/10.1198/jasa.2005.s25
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.