Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 201

The DOI matches its Crossref record.

Effects of Interview Mode on Self-Reported Drug Use

Aquilino, William S., Sciuto, Leonard A. Lo·1990·Public Opinion Quarterly

Abstract

The effects of interview mode on 18- to 34-year-olds' self-reported tobacco, alcohol, marijuna, and cocaine use were investigated. RDD telephone and personal drug use surveys of the state of New Jersey were conducted in 1986–87. In the personal interview, respondents recorded their drug use on self-administrated answer sheets. Compared to the area probability sample in the personal interview, RDD yielded a sample of blacks higher in income and education, and more likely to be married and currently employed; white SES was also higher in the telephone sample, but to a lesser degree than for blacks. Controlling for demographic characteristics and RDD's exclusion of non-telephone households, the telephone survey yielded significantly lower estimates of blacks' alcohol consumption, and lifetime and recent marijuana use. Whites' alcohol consumption was slightly lower by telephone; otherwise, estimates of whites' use of the four substances were nearly identical in the two modes. Sample coverage, respondent demographic characteristics, and racial matching of interviewer and respondent did not account for the significant mode differences. Characteristics of the interview situation itself, such as provision of privacy in the self-administered format, may have influenced tendencies toward socially desirable responding to a threatening topic such as drug use.

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 · 10.1086/269212

Cites

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

Cited by

See all 201

Metadata

Authors
Aquilino, W. S., & Sciuto, L. A. L.
Venue
Public Opinion Quarterly
Published
1990
Volume
54
Issue
3
Pages
362
ISSN
0033-362X (ISSN-L)
OpenAlex
W1976078748
Cited by
201
References
0
FWCI
1.95
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: Effects of Interview Mode on Self-Reported Drug Use. https://app.cochat.ai/papers/10.1086/269212
The paper
Aquilino, W. S., & Sciuto, L. A. L. (1990). Effects of Interview Mode on Self-Reported Drug Use. Public Opinion Quarterly. https://doi.org/10.1086/269212

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.