Cited by 1,226Substance Abuse Treatment and OutcomesPersonality Traits and PsychologyYouth, Drugs, and Violence

Rosenberg Self-Esteem Scale

Rosenberg, M.·2011·PsycTESTS Dataset

Abstract

It is widely believed that low self-esteem (SE) is associated with greater substance use, although previous research has been unable to support such a relationship consistently. The present study used the "social deviance model" to investigate whether SE was differentially related to substance use for respondents in varying cultural norms. Responses to intensity of tobacco, marijuana, alcohol, and drug use, SE, and cultural norm items from over 2,000 high school and college students failed to support this model.

Integrity signals

Registry

Crossref · 10.1037/t01038-000

Cites

0 citation errors · 0 not checkable

Statistics

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Cites

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Authors
Rosenberg, M.
Corresponding author
Rosenberg, M.
Venue
PsycTESTS Dataset
Published
1965
Volume
31
Issue
123
Pages
523-42
OpenAlex
W2912905337
Cited by
1,226
References
0
Citations by year
2026: 149 · 2025: 230 · 2024: 217 · 2023: 171 · 2022: 95 · 2021: 62 · 2020: 48 · 2019: 36 · 2018: 36 · 2017: 19 · 2016: 18 · 2015: 15 · 2014: 22 · 2013: 10 · 2012: 19
Type
dataset
Language
en
Open access
closed
Locations
  • PsycTESTS Dataset (publishedVersion)
  • PubMed (publishedVersion)
  • Sound Ideas (University of Puget Sound) (submittedVersion)
  • PubMed
Topics
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
  • Social Sciences › Demography › Youth, Drugs, and Violence
Keywords
Rosenberg Self-Esteem Scale, self-esteem, substance use, cultural norms, tobacco use, cannabis use, alcohol consumption, drug use, high school students, university students
MeSH terms
Adolescent, Alcohol Drinking, Culture, Female, Humans, Male, Marijuana Smoking, Models, Theoretical, Religion, Self Concept, Smoking, Substance-Related Disorders

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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.

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