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Testing Social Learning Theory Using Reinforcement's Residue

A Multilevel Analysis of Self‐reported Theft and Marijuana Use in the National Youth Survey

Bibliographic Data

ID9681262
AuthorsJonathan R Brauer (0009-0005-3857-7942, North Carolina State University, corresponding author)
Year2009
Volume47
Issue3
Pages929-970
Publication date2009-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCriminology (JOURNAL)
Journal identifiersISSN: 0011-1384 • E-ISSN: 1745-9125
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1745-9125.2009.00164.x
OpenAlexW2038969131
LanguageEN
Citations received18
References cited76

Critics have expressed concerns regarding measurement strategies or analytic techniques often used in social learning research (Horan and Phillips, 2003; Krohn, 1999; Sampson, 1999; Tittle, 2004). In response to these concerns, this study tests the hypothesized causal relationships among reinforcement, general definitions, and self‐reported crime (theft and marijuana use) using a multilevel modeling approach with longitudinal data from the first five waves of the National Youth Survey (NYS), as well as with indirect parent and friend reinforcement measures that incorporate both the assumed products of reinforcement (expected consequences of behavior) and the efficacy of reinforcement (expected influence of the reinforcement source). Within‐subject analyses present a challenge to the theory as social learning variables do not covary significantly over time with criminal offending rates. Between‐subject analyses offer support for the theory as across‐person differences in average parent and friend reinforcement are significantly related to offending rates, and these reinforcement–crime relationships are mediated partially or fully by learned definitions. Implications of these findings are discussed

Cognitive psychology · Developmental psychology · Machine learning · Multilevel model · Reinforcement · Reinforcement learning · Social learning theory · Artificial Intelligence · Behavioral and Psychological Studies · Community Health and Development · Computer Science · Crime Patterns and Interventions · Psychology · Social Psychology

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Unique citing works18
Citations per year1,29
Citation span2012 - 2026 (15)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 18

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