Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 315

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Combining Behavioral Theories to Predict Recycling Involvement

Valle, Patrícia Oom Do, Rebelo, Efigénio, Reis, Elizabeth, Menezes, João·2005·Environment and Behavior

Abstract

This study merges insights from two well-known attitude-behavior theories—the theory of planned behavior and the model of altruistic behavior—with elements from two broader models from environmental psychology—the model of environmental behavior and the model of environmental concern—to propose a comprehensive structural equation model to explain recycling behavior. The specified model is estimated using data from the most recent national survey performed in Portugal on the subject. In general, results support the use of the theory of planned behavior as a basis for modeling recycling participation. However, the integration of this theory with the Schwartz's model is only partially achieved. Another important finding is that recycling behavior is indirectly determined by personal psychological features, such as social conscience, but not by general ecological attitudes.

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 · 10.1177/0013916504272563

Cites

6 of 6 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 6 references

Cited by

See all 315

Metadata

Authors
Valle, P. O. D., Rebelo, E., Reis, E., & Menezes, J.
Venue
Environment and Behavior
Published
2005-05
Volume
37
Issue
3
Pages
364-396
ISSN
  • 0013-9165 (ISSN-L)
  • 1552-390X
OpenAlex
W2054595581
Cited by
315
References
6
FWCI
26.55
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: Combining Behavioral Theories to Predict Recycling Involvement. https://app.cochat.ai/papers/10.1177/0013916504272563
The paper
Valle, P. O. D., Rebelo, E., Reis, E., & Menezes, J. (2005). Combining Behavioral Theories to Predict Recycling Involvement. Environment and Behavior. https://doi.org/10.1177/0013916504272563

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.