Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 185

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

“Never Believe an Alcoholic”? On the Validity of Self-Report Measures of Alcohol Dependence and Related Constructs

Hesselbrock, Michie, Babor, Thomas F., Hesselbrock, Victor, Meyer, Roger E., Workman, Kathy·1983·International Journal of the Addictions

Abstract

A study of 114 male and female alcoholics was conducted to evaluate the validity of information obtained by means of self-report questionnaires. Factor analysis was used to derive composite measures of alcohol dependence, withdrawal symptomatology, pathological intoxication, and alcoholic psychosis. Validation was conducted by comparing these measures with independent and external criteria; that is drinking estimates made by collateral informants, measures of general alcohol involvement, and drinking behavior 6 months after treatment. The results support each type of validity, and thereby contradict the assumption that the alcoholics' self-reports were not accurate. The question of unreliable self-report data due to the demand characteristics of the situation under which the information is obtained is also addressed.

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 · 10.3109/10826088309027359

Cites

2 of 2 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 2 references

Cited by

See all 185

Metadata

Authors
Hesselbrock, M., Babor, T. F., Hesselbrock, V., Meyer, R. E., & Workman, K.
Venue
International Journal of the Addictions
Published
1983-01
Volume
18
Issue
5
Pages
593-609
ISSN
0020-773X (ISSN-L)
OpenAlex
W2011624828
Cited by
185
References
2
FWCI
12.42
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: “Never Believe an Alcoholic”? On the Validity of Self-Report Measures of Alcohol Dependence and Related Constructs. https://app.cochat.ai/papers/10.3109/10826088309027359
The paper
Hesselbrock, M., Babor, T. F., Hesselbrock, V., Meyer, R. E., & Workman, K. (1983). “Never Believe an Alcoholic”? On the Validity of Self-Report Measures of Alcohol Dependence and Related Constructs. International Journal of the Addictions. https://doi.org/10.3109/10826088309027359

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.