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Explaining Police Corruption among Mexican Police Officers through a Social Learning Perspective

Bibliographic Data

ID2153265
AuthorsL Sergio Garduno (0000-0003-2117-6251, University of Louisville, Louisville, KY, USA, corresponding author)
Year2019
Volume40
Issue5
Pages602-620
Publication date2019-05-04
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueDeviant Behavior (JOURNAL)
Journal identifiersISSN: 0163-9625 • E-ISSN: 1521-0456
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/01639625.2019.1593293
OpenAlexW2942901237
LanguageEN
Citations received13
References cited42

This study examines the causes of corruption among Mexican police officers through the lens of social learning theory. Self-administered questionnaires were used to gather information about behavior of corruption, economic situation, job dissatisfaction, lack of commitment, and definitions and reinforcement favorable to corruption among a sample of Mexican police officers. Ordinary Least Squares regression analysis was used to determine whether differential reinforcement and definitions help to explain levels of corruption among sampled police officers. Results show that positive definitions and reinforcement towards corruption are significant predictors of police corruption, and partially mediate the effect of job dissatisfaction on corruption

Criminology · Differential (mechanical device · Econometrics · Economics · Language change · Ordinary least squares · Perspective (graphical · Regression analysis · Sample (material · Social learning theory · Computer Science · Corruption and Economic Development · Crime Patterns and Interventions · Crime, Illicit Activities, and Governance · Engineering · Psychology · Social Psychology

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Unique citing works13
Citations per year3,25
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 13

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