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Autocorrelation in Behavioral Research

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Research Methods in Applied Behavior Analysis

Part of the book series: Applied Clinical Psychology ((NSSB))

Abstract

Every now and then a mathematical solution to a general data analytic problem becomes available to researchers working in diverse fields. These solutions are often initially developed by mathematical statisticans and subsequently presented to research workers by methodologists who recognize the apparent usefulness of such procedures to specific content areas. This is the case with time-series intervention models that were initially presented by Box and Tiao (1965). Their classic paper has been followed by many extensions and simplified treatments of the essential ideas associated with these models and methods of analysis.

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Author information

Authors and Affiliations

  1. Department of Psychology, Western Michigan University, Kalamazoo, MI, 49008, USA

    Bradley E. Huitema

Authors
  1. Bradley E. Huitema
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Editor information

Editors and Affiliations

  1. Western Michigan University, Kalamazoo, Michigan, USA

    Alan Poling  & R. Wayne Fuqua  & 

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© 1986 Plenum Press, New York

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Huitema, B.E. (1986). Autocorrelation in Behavioral Research. In: Poling, A., Fuqua, R.W. (eds) Research Methods in Applied Behavior Analysis. Applied Clinical Psychology. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-8786-2_9

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  • DOI: https://doi.org/10.1007/978-1-4684-8786-2_9

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-8788-6

  • Online ISBN: 978-1-4684-8786-2

  • eBook Packages: Springer Book Archive

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