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Real and quasi-experiments in capture-recapture studies

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  • Carl James Schwarz

Abstract

The three key elements of experimental design are randomization, replication, and variance identification and control. Capture-recapture experiments usually pay sufficient attention to the first two elements, but often do not pay sufficient attention to sources of variation. These include blocking factors and different sizes of experimental units. By casting capture-recapture studies in an experimental design framework, the various roles of these sources of variation become clear and the sources that are pooled when these experiments are analysed using existing software is also clear. This formulation also shows that care must be taken with pseudo-replication and different sized experimental units.

Suggested Citation

  • Carl James Schwarz, 2002. "Real and quasi-experiments in capture-recapture studies," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(1-4), pages 459-473.
    • Handle: RePEc:taf:japsta:v:29:y:2002:i:1-4:p:459-473
    DOI: 10.1080/02664760120108511
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    References listed on IDEAS

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    1. V. Chavez-Demoulin, 1999. "Bayesian Inference for Small-Sample Capture-Recapture Data," Biometrics, The International Biometric Society, vol. 55(3), pages 727-731, September.
    2. Brent A. Coull & Alan Agresti, 1999. "The Use of Mixed Logit Models to Reflect Heterogeneity in Capture-Recapture Studies," Biometrics, The International Biometric Society, vol. 55(1), pages 294-301, March.
    3. S. P. Brooks & E. A. Catchpole & B. J. T. Morgan & S. C. Barry, 2000. "On the Bayesian Analysis of Ring-Recovery Data," Biometrics, The International Biometric Society, vol. 56(3), pages 951-956, September.
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