Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 304

The DOI matches its Crossref record; 104 of the 104 references it cites were found in a registry or an index.

Social Desirability in Environmental Psychology Research: Three Meta-Analyses

Open access
Vesely, Stepan, Klöckner, Christian A.·2020·Frontiers in Psychology

Abstract

That social desirability might be a confounder of people's survey responses regarding environmental actions has been discussed for a long time. To produce evidence for or against this assumption, we conducted meta-analyses of correlations between social desirability scales and self-reports of environmentally relevant behaviors, intentions, and (broadly defined) attitudes, based on data from 29 previously published papers. The pooled correlations with social desirability are generally small, ranging from 0.06 to 0.11 (0.08-0.13 when correcting for measurement error attenuation). However, our results do not lead to the conclusion that social desirability can be completely disregarded by environmental psychologists as a potential confounder. For example, we found evidence of substantial heterogeneity across studies, so the effect of social desirability may be more pronounced in specific cases. Continued attention to social desirability bias is needed to fully understand its possible subtle effects.

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 · 10.3389/fpsyg.2020.01395

Cites

104 of 104 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 104 references

Metadata

Authors
Vesely, S., & Klöckner, C. A.
Venue
Frontiers in Psychology
Published
2020-07-24
Volume
11
Pages
1395-1395
ISSN
1664-1078 (ISSN-L)
OpenAlex
W3044072846
Cited by
304
References
104
FWCI
34.00
Type
journal article
Language
en
Open access
gold

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: Social Desirability in Environmental Psychology Research: Three Meta-Analyses. https://app.cochat.ai/papers/10.3389/fpsyg.2020.01395
The paper
Vesely, S., & Klöckner, C. A. (2020). Social Desirability in Environmental Psychology Research: Three Meta-Analyses. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2020.01395

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.