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Linked Markov Sources

Author

Listed:
  • Cees H. Elzinga

    (Vrije Universiteit Amsterdam)

  • Adriaan W. Hoogendoorn

    (Vrije Universiteit Amsterdam)

  • Wil Dijkstra

    (Vrije Universiteit Amsterdam)

Abstract

Many social processes are adaptive in the sense that the process changes as a result of previous outcomes. Data on such processes may come in the form of categorical time series. First, the authors propose a class of Markov Source models that embody such adaptation. Second, the authors discuss new methods to evaluate the fit of such models. Third, the authors apply these models and methods to data on a social process that is a preeminent example of an adaptive process: (encoded) conversation as arises in structured interviews.

Suggested Citation

  • Cees H. Elzinga & Adriaan W. Hoogendoorn & Wil Dijkstra, 2007. "Linked Markov Sources," Sociological Methods & Research, , vol. 36(1), pages 26-47, August.
    • Handle: RePEc:sae:somere:v:36:y:2007:i:1:p:26-47
    DOI: 10.1177/0049124106295975
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    References listed on IDEAS

    as
    1. 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.
    2. George Miller, 1952. "Finite markov processes in psychology," Psychometrika, Springer;The Psychometric Society, vol. 17(2), pages 149-167, June.
    Full references (including those not matched with items on IDEAS)

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