Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 166

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Predicting Repeated Behavior from Intention: The Issue of Scale Correspondence

Courneya, Kerry S.·1994·Journal of Applied Social Psychology

Abstract

The present study examined the issue of scale correspondence (Courneya & McAuley, 1993), using the repeated behavior of regular physical activity. Scale correspondence refers to the consistency of the scales between intention and behavior assessments when examining repeated behaviors. Eighty‐five undergraduate students completed five different self‐report scales that have been used for intention and repeated behaviors. The time period between intention assessment and reported behavior was one month. The results indicated that violating scale correspondence, particularly the continuous/dichotomous distinction, resulted in attenuated correlations. Moreover, not all forms of scale correspondence were equally satisfactory, with the continuous‐open form being the most effective. Discussion focused on: (a) implications for the theories of reasoned action and planned behavior, (b) the conceptual basis of the intention construct, (c) the prevalence of single‐item assessments of intention, and (d) the possible contribution of shared method variance to the improved correlations.

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 · 10.1111/j.1559-1816.1994.tb00601.x

Cites

3 of 3 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 3 references

Cited by

See all 166

Metadata

Authors
Courneya, K. S.
Venue
Journal of Applied Social Psychology
Publisher
Wiley
Published
1994-04
Volume
24
Issue
7
Pages
580-594
ISSN
  • 0021-9029 (ISSN-L)
  • 1559-1816
OpenAlex
W2138988468
Cited by
166
References
3
FWCI
2.93
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: Predicting Repeated Behavior from Intention: The Issue of Scale Correspondence. https://app.cochat.ai/papers/10.1111/j.1559-1816.1994.tb00601.x
The paper
Courneya, K. S. (1994). Predicting Repeated Behavior from Intention: The Issue of Scale Correspondence. Journal of Applied Social Psychology. https://doi.org/10.1111/j.1559-1816.1994.tb00601.x

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.