The DOI matches its Crossref record.
Generalized Ordered Logit/Partial Proportional Odds Models for Ordinal Dependent Variables
Open accessAbstract
This article describes the gologit2 program for generalized ordered logit models. gologit2 is inspired by Vincent Fu's gologit routine (Stata Technical Bulletin Reprints 8: 160–164) and is backward compatible with it but offers several additional powerful options. A major strength of gologit2 is that it can fit three special cases of the generalized model: the proportional odds/parallel-lines model, the partial proportional odds model, and the logistic regression model. Hence, gologit2 can fit models that are less restrictive than the parallel-lines models fitted by ologit (whose assumptions are often violated) but more parsimonious and interpretable than those fitted by a nonordinal method, such as multinomial logistic regression (i.e., mlogit). Other key advantages of gologit2 include support for linear constraints, survey data estimation, and the computation of estimated probabilities via the predict command.
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
Cites
No references could be resolved yet.
Research works printed but not linked: 8
- Clogg C. C., 1994, Statistical Models for Ordinal Variables.
- Fu V., 1998, Stata Technical Bulletin, 44, 27
- 10.1191/0962280202sm271ra · DOI
- Long J. S., 2006, Regression Models for Categorical Dependent Variables Using Stata.
- Norusis M., 2005, SPSS 13.0 Advanced Statistical Procedures Companion.
- 10.2307/2347760 · DOI · Paper page
- 2004, SAS/Stat 9.1 User's Guide.
- Wolfe R., 1998, Stata Technical Bulletin, 42, 24
Cited by
Social disconnectedness, perceived isolation, and health among older adults
Cornwell, E. Y., & Waite, L. J. (2009) · Journal of Health and Social Behavior · doi:10.1177/002214650905000103 · Cited by 2,027
The Social Connectedness of Older Adults: A National Profile
Cornwell, B., Laumann, E. O., & Schumm, L. P. (2008) · American Sociological Review · doi:10.1177/000312240807300201 · Cited by 941
Overweight and obesity in urban Africa: A problem of the rich or the poor?
Ziraba, A. K., Fotso, J. C., & Ochako, R. (2009) · BMC Public Health · doi:10.1186/1471-2458-9-465 · Cited by 433
Franchina, V., Vanden Abeele, M., Van Rooij, A. J., Lo Coco, G., & De Marez, L. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15102319 · Cited by 411
“In the analyses with the frequency of use of Snapchat, We Heart it, Pinterest and Tinder as the dependent variables, the assumption of proportional odds was violated; this occurs more frequently in large samples, because minor violations of the parallel lines test may already be statistically significant [55].”
MethodBurden, B. C., Canon, D. T., Mayer, K. R., & Moynihan, D. P. (2012) · Public Administration Review · doi:10.1111/j.1540-6210.2012.02600.x · Cited by 409
Metadata
- Authors
- Williams, R.
- Venue
- The Stata Journal: Promoting communications on statistics and Stata
- Publisher
- SAGE Publications
- Published
- 2006-02
- Volume
- 6
- Issue
- 1
- Pages
- 58-82
- ISSN
- 1536-867X (ISSN-L)
- 1536-8734
- OpenAlex
- W2162086569
- Cited by
- 2,118
- References
- 0
- FWCI
- 37.52
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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 Ordered Logit/Partial Proportional Odds Models for Ordinal Dependent Variables. https://app.cochat.ai/papers/10.1177/1536867x0600600104
- The paper
- Williams, R. (2006). Generalized Ordered Logit/Partial Proportional Odds Models for Ordinal Dependent Variables. The Stata Journal: Promoting communications on statistics and Stata. https://doi.org/10.1177/1536867x0600600104
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.
