Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 227

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Do Parents Discriminate Against their Heavyweight Daughters?

Crandall, Christian S.·1995·Personality and Social Psychology Bulletin

Abstract

In a 1991 study, the author found that females were less likely to receive support from their parents for college education if they were fatter than average. This effect is replicated for female undergraduates (n = 576); no effect emerged for males (n = 450). Controlling for income, ethnicity, family size, and number of children attending college did not change the results. The selection bias against fat women was strongest for daughters of political conservatives, a group previously found to endorse antifat attitudes. This suggests that parents' attitudes may lead to discrimination within families. To demonstrate that this may be due to parents' bias, data from a representative sample of high school seniors (n = 3,386) showed no association between politics, weight, and predictors of college attendance, including grade point average, self-rated intelligence and ability, college aspirations, and health. The evidence accumulates that parents are discriminating against their own heavyweight daughters.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/0146167295217007

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 1 references

Cited by

See all 227

Metadata

Authors
Crandall, C. S.
Venue
Personality and Social Psychology Bulletin
Published
1995-07
Volume
21
Issue
7
Pages
724-735
ISSN
  • 0146-1672 (ISSN-L)
  • 1552-7433
OpenAlex
W1982034890
Cited by
227
References
1
FWCI
13.27
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: Do Parents Discriminate Against their Heavyweight Daughters? https://app.cochat.ai/papers/10.1177/0146167295217007
The paper
Crandall, C. S. (1995). Do Parents Discriminate Against their Heavyweight Daughters? Personality and Social Psychology Bulletin. https://doi.org/10.1177/0146167295217007

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.