IDEAS home Printed from https://ideas.repec.org/a/bla/stanee/v57y2003i3p305-320.html
   My bibliography  Save this article

Latent Markov Modelling of Recidivism Data

Author

Listed:
  • Catrien C.J.H. Bijleveld
  • Ab Mooijaart

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.

Suggested Citation

  • Catrien C.J.H. Bijleveld & Ab Mooijaart, 2003. "Latent Markov Modelling of Recidivism Data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 57(3), pages 305-320, August.
    • Handle: RePEc:bla:stanee:v:57:y:2003:i:3:p:305-320
    DOI: 10.1111/1467-9574.00233
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1467-9574.00233
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1467-9574.00233?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Vermunt, J.K., 1993. "lEM : Log-linear and event history analysis with missing data using the EM algorithm," WORC Paper 93.09.015/7, Tilburg University, Work and Organization Research Centre.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Francesco Bartolucci & Fulvia Pennoni & Brian Francis, 2007. "A latent Markov model for detecting patterns of criminal activity," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(1), pages 115-132, January.
    2. Eugene C.X. Ikejemba & Peter C. Schuur, 2018. "Analyzing the Impact of Theft and Vandalism in Relation to the Sustainability of Renewable Energy Development Projects in Sub-Saharan Africa," Sustainability, MDPI, vol. 10(3), pages 1-17, March.
    3. Siem Jan Koopman & Marius Ooms & André Lucas & Kees van Montfort & Victor Van Der Geest, 2008. "Estimating systematic continuous‐time trends in recidivism using a non‐Gaussian panel data model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 62(1), pages 104-130, February.
    4. Cees H. Elzinga & Adriaan W. Hoogendoorn & Wil Dijkstra, 2007. "Linked Markov Sources," Sociological Methods & Research, , vol. 36(1), pages 26-47, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dirven, H.J. & Fouarge, D.J.A.G., 1996. "Income mobility and deprivation dynamics among the elderly in Belgium and the Netherlands," WORC Paper 96.05.005/2, Tilburg University, Work and Organization Research Centre.
    2. Dimitris Pavlopoulos & Katja Chkalova, 2022. "Short-time work: A bridge to employment security or a springboard to unemployment?," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 43(1), pages 168-197, February.
    3. Rolf Langeheine & Jeroen Pannekoek & Frank Van De Pol, 1996. "Bootstrapping Goodness-of-Fit Measures in Categorical Data Analysis," Sociological Methods & Research, , vol. 24(4), pages 492-516, May.
    4. Geoffrey Evans & Colin Mills, 1998. "Assessing the Cross-Sex Validity of the Goldthorpe Class Schema Using Log-linear Models with Latent Variables," Quality & Quantity: International Journal of Methodology, Springer, vol. 32(3), pages 275-296, August.
    5. Vermunt, J.K., 1994. "Causal log-linear modeling with missing data," WORC Paper 94.05.021/7, Tilburg University, Work and Organization Research Centre.
    6. Ulf Böckenholt & William Dillon, 1997. "Modeling within-subject dependencies in ordinal paired comparison data," Psychometrika, Springer;The Psychometric Society, vol. 62(3), pages 411-434, September.
    7. María Rodrigo & Manuel Ato & Rafael Rabadan, 2001. "Simultaneous Models for Contingency Tables: A Reanalysis of Heatherton et al. (1997) Data on Eating Behavior," Quality & Quantity: International Journal of Methodology, Springer, vol. 35(4), pages 351-363, November.
    8. Anton K. Formann & Thomas Kohlmann, 1998. "Structural Latent Class Models," Sociological Methods & Research, , vol. 26(4), pages 530-565, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:stanee:v:57:y:2003:i:3:p:305-320. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0039-0402 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.