Heterogeneity in the development of differential reinforcement: examining predictive power of definitions and differential association from a social learning perspective.

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Title: Heterogeneity in the development of differential reinforcement: examining predictive power of definitions and differential association from a social learning perspective.
Authors: Wojciechowski, Thomas (AUTHOR)
Source: Applied Developmental Science. 2026, Vol. 30 Issue 2, p203-220. 18p.
Subjects: Reinforcement (Psychology), Social learning theory, Juvenile offenders, Peer pressure, Adolescence, Young adults, Delinquent behavior, Statistical models
Abstract: Social learning theory is a prominent framework for understanding the relevance of socialization processes for predicting behavior. While recent research has focused on placing these processes within developmental contexts, there remain gaps in understanding how differential reinforcement for involvement in antisocial behavior may develop across adolescence and emerging adulthood and how definitions and differential association predict development. All 11 waves of the Pathways to Desistance dataset were analyzed, comprising the responses of 1354 justice-involved youth across seven years post-adjudication. Group-based trajectory modeling was used to identify developmental patterns of differential reinforcement and regression modeling was used to examine predictors of development. Results indicated that a two-group model of development best fit the reinforcement data (High, Low). Greater endorsement of antisocial definitions and greater differential association with deviant peers and a significant and positive interaction between these constructs predicted increased odds of assignment to the High group. [ABSTRACT FROM AUTHOR]
Copyright of Applied Developmental Science is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Heterogeneity in the development of differential reinforcement: examining predictive power of definitions and differential association from a social learning perspective.
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  Data: <searchLink fieldCode="DE" term="%22Reinforcement+%28Psychology%29%22">Reinforcement (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Social+learning+theory%22">Social learning theory</searchLink><br /><searchLink fieldCode="DE" term="%22Juvenile+offenders%22">Juvenile offenders</searchLink><br /><searchLink fieldCode="DE" term="%22Peer+pressure%22">Peer pressure</searchLink><br /><searchLink fieldCode="DE" term="%22Adolescence%22">Adolescence</searchLink><br /><searchLink fieldCode="DE" term="%22Young+adults%22">Young adults</searchLink><br /><searchLink fieldCode="DE" term="%22Delinquent+behavior%22">Delinquent behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+models%22">Statistical models</searchLink>
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  Data: Social learning theory is a prominent framework for understanding the relevance of socialization processes for predicting behavior. While recent research has focused on placing these processes within developmental contexts, there remain gaps in understanding how differential reinforcement for involvement in antisocial behavior may develop across adolescence and emerging adulthood and how definitions and differential association predict development. All 11 waves of the Pathways to Desistance dataset were analyzed, comprising the responses of 1354 justice-involved youth across seven years post-adjudication. Group-based trajectory modeling was used to identify developmental patterns of differential reinforcement and regression modeling was used to examine predictors of development. Results indicated that a two-group model of development best fit the reinforcement data (High, Low). Greater endorsement of antisocial definitions and greater differential association with deviant peers and a significant and positive interaction between these constructs predicted increased odds of assignment to the High group. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Applied Developmental Science is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/10888691.2024.2405595
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 18
        StartPage: 203
    Subjects:
      – SubjectFull: Reinforcement (Psychology)
        Type: general
      – SubjectFull: Social learning theory
        Type: general
      – SubjectFull: Juvenile offenders
        Type: general
      – SubjectFull: Peer pressure
        Type: general
      – SubjectFull: Adolescence
        Type: general
      – SubjectFull: Young adults
        Type: general
      – SubjectFull: Delinquent behavior
        Type: general
      – SubjectFull: Statistical models
        Type: general
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      – TitleFull: Heterogeneity in the development of differential reinforcement: examining predictive power of definitions and differential association from a social learning perspective.
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              M: 04
              Text: 2026
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              Y: 2026
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