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Quantitative Data Analysis in Psychotherapy Process Research: Structures and Procedures

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Psychotherapy Research

Abstract

This chapter outlines and discusses the structures and procedures of quantitative data analysis in psychotherapy process research. These aspects will be described in two main steps: (a) exploring the complex psychotherapy process and usefully constructing the data structures to simplify a targeted reality and (b) statistically analyzing the data and testing the results in the original material. Psychotherapy research is understood as a process that is substantially influenced by researchers’ personal perspectives and attitudes. Finally, the statistical consultation within this creative process is discussed as interpersonal activity that relies on the working alliance of collaborating colleagues.

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Acknowledgment

I am grateful to—in alphabetical order by the given name—Blerta Bodinaku, Kathrin Mörtl, Michael Stigler, and Omar C.G. Gelo for their friendly help and discussions.

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Authors and Affiliations

  1. Department of Psychosomatic Medicine and Psychotherapy, Ulm University, Ulm, Germany

    Dan Pokorny

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  1. Dan Pokorny
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Correspondence to Dan Pokorny .

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Editors and Affiliations

  1. University of Salento, Lecce, Italy, and Sigmund Freud University, Vienna, Austria

    Omar C.G. Gelo

  2. Sigmund Freud University, Vienna, Austria

    Alfred Pritz

  3. Sigmund Freud University, Vienna, Austria

    Bernd Rieken

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Pokorny, D. (2015). Quantitative Data Analysis in Psychotherapy Process Research: Structures and Procedures. In: Gelo, O., Pritz, A., Rieken, B. (eds) Psychotherapy Research. Springer, Vienna. https://doi.org/10.1007/978-3-7091-1382-0_12

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  • DOI: https://doi.org/10.1007/978-3-7091-1382-0_12

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  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-7091-1381-3

  • Online ISBN: 978-3-7091-1382-0

  • eBook Packages: MedicineMedicine (R0)

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