The DOI matches its Crossref record.
Linear Probability, Logit, and Probit Models
Abstract
The Linear Probability Model Specification of Nonlinear Probability Models Estimation of Probit and Logit Models for Dichotomous Dependent Variables Minimum Chi-Square Estimation and Polytomous Models Summary and Extensions
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
Uzzi, B. (1996) · American Sociological Review · doi:10.2307/2096399 · Cited by 6,013
The use of logit and probit models in strategic management research: Critical issues
Hoetker, G. (2007) · Strategic Management Journal · doi:10.1002/smj.582 · Cited by 1,519
The Epidemiology of Social Stress
Turner, R. J., Wheaton, B., & Lloyd, D. A. (1995) · American Sociological Review · doi:10.2307/2096348 · Cited by 1,362
Beyond rational choice: The social dynamics of how people seek help
Pescosolido, B. A. (1992) · American Journal of Sociology · doi:10.1086/229863 · Cited by 1,017
Lessons of Welfare: Policy Design, Political Learning, and Political Action
Soss, J. (1999) · American Political Science Review · doi:10.2307/2585401 · Cited by 815
Metadata
- Authors
- Aldrich, J., & Nelson, F.
- Venue
- Sage eBooks
- Publisher
- SAGE Publications, Inc.
- Published
- 1984
- OpenAlex
- W1559339763
- Cited by
- 2,596
- References
- 0
- FWCI
- 20.49
- Type
- book
- 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: Linear Probability, Logit, and Probit Models. https://app.cochat.ai/papers/10.4135/9781412984744
- The paper
- Aldrich, J., & Nelson, F. (1984). Linear Probability, Logit, and Probit Models. Sage eBooks. https://doi.org/10.4135/9781412984744
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.
