Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 290

The DOI matches its Crossref record; 135 of the 135 references it cites were found in a registry or an index.

A dynamic model of engagement in normative and non-normative collective action: Psychological antecedents, consequences, and barriers

Open access
Becker, Julia C., Tausch, Nicole·2015·European Review of Social Psychology

Abstract

This review addresses three recent developments in the collective action literature. First, we demonstrate that normative and non-normative collective action participation can be predicted by different psychological variables. Second, we show that collective action participation has emotional and identity-related consequences for activists that shape their motivation to engage in future action. Third, we illustrate that members of disadvantaged groups are faced with two dilemmas—the dilemma of alternative ways of identity management and the dilemma of affective loyalties towards the outgroup—both of which present barriers to social change by undermining protest intentions. In the final part of the review, we outline an integrative framework that maps out the dynamic processes between antecedents of, barriers to and outcomes of collective action participation and highlight a number of directions for future research.

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 · 10.1080/10463283.2015.1094265

Cites

135 of 135 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 135 references

Cited by

See all 290

Metadata

Authors
Becker, J. C., & Tausch, N.
Venue
European Review of Social Psychology
Published
2015-01
Volume
26
Issue
1
Pages
43-92
ISSN
  • 1046-3283 (ISSN-L)
  • 1479-277X
OpenAlex
W1913936839
Cited by
290
References
135
FWCI
39.87
Type
journal article
Language
en
Open access
green

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: A dynamic model of engagement in normative and non-normative collective action: Psychological antecedents, consequences, and barriers. https://app.cochat.ai/papers/10.1080/10463283.2015.1094265
The paper
Becker, J. C., & Tausch, N. (2015). A dynamic model of engagement in normative and non-normative collective action: Psychological antecedents, consequences, and barriers. European Review of Social Psychology. https://doi.org/10.1080/10463283.2015.1094265

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.