Latent Markov Modelling of Recidivism Data |
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Authors: | Catrien CJH Bijleveld Ab Mooijaart |
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Institution: | NSCR Institute for the Study of Crime &Law Enforcement, Leiden, P. O. Box 792, 2300 AT Leiden, the Netherlands;Dept. Criminal Law and Criminology, Free University, Amsterdam, The Netherlands ;Unit of Psychometrics, Department of Psychology, Leiden University, P. O. Box 9555, 2300 RB Leiden, The Netherlands |
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Abstract: | This article discusses the application of latent Markov modelling for the analysis of recidivism data. We briefly examine the relations of Markov modelling with log–linear analysis, pointing out pertinent differences as well. We show how the restrictive Markov model may be more easily applicable by adding latent variables to the model, in which case the latent Markov model is a dynamic version of the latent class model. As an illustration, we apply latent Markov analysis on an empirical data set of juvenile prosecution careers, showing how the Markov analyses producing well-fitting and interpretable solutions. We end by comparing the possible contributions of Markov modelling in recidivism research, outlining its drawbacks as well. Recommendations and directions for future research conclude the article. |
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Keywords: | recidivism latent Markov analysis juvenile delinquency |
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