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Cited by 281

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

A Longitudinal Test of Social Learning Theory: Adolescent Smoking

Akers, Ronald L., Lee, Gang·1996·Journal of Drug Issues

Abstract

A general social learning theory of deviance is applied to adolescent smoking as a form of sustance use and tested with data from a 5-year longitudinal study of a panel (N=454) of respondents in grades 7 through 12 in an Iowa community. The major components of the process specified in the theory are differential association, differential reinforcement, definitions (attitudes), and modeling. The process is one in which the operation of these variables produces abstinence or smoking, but with some reciprocal effects of smoking behavior on the social learning variables. Previous research on various kinds of deviance and substance use has been supportive of the theory. The findings in this study from LISREL models of the overall social learning process and each of the component of association, reinforcement, and definitions are also supportive.

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Crossref · 10.1177/002204269602600203

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Metadata

Authors
Akers, R. L., & Lee, G.
Venue
Journal of Drug Issues
Published
1996-04
Volume
26
Issue
2
Pages
317-343
ISSN
  • 0022-0426 (ISSN-L)
  • 1945-1369
OpenAlex
W155599834
Cited by
281
References
60
FWCI
2.01
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Longitudinal Test of Social Learning Theory: Adolescent Smoking. https://app.cochat.ai/papers/10.1177/002204269602600203
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Akers, R. L., & Lee, G. (1996). A Longitudinal Test of Social Learning Theory: Adolescent Smoking. Journal of Drug Issues. https://doi.org/10.1177/002204269602600203

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.