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Parametrische und nichtparametrische Methoden der Einzelfallstatistik

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Ergebnisse einzelfallstatistischer Untersuchungen in Psychosomatik und klinischer Psychologie

Zusammenfassung

Die Auswertung von zeitbezogenen Daten macht i.allg. die Anwendung spezieller statistischer Verfahren notwendig. Die Begründung hierfür liegt in der sog. „Abhängigkeit“ der Daten: Man nimmt im Gegensatz zur Querschnittuntersuchung an, daß die Daten eine gewisse „Trägheit“ oder ein „Beharrungsvermögen“ aufweisen. Diesen Effekt kann man auf physiologische Prozesse oder psychologische Ursachen wie „Erinnerungs“- und „Gewöhnungseffekte“ oder auch regelmäßig wiederkehrende äußere Einflüsse (wie z.B. regelmäßige Berufstätigkeit) zurückführen. Diese zeitliche Abhängigkeit der Daten wird auch Autokorreliertheit genannt. Die Verwendung „normaler“ statistischer Verfahren zur Analyse autokorrelierter Daten liefert verzerrte Prüfgrößen, die zu falschen Interpretationen führen.

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Authors
  1. C. Möbus
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  2. G. Göricke
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  3. P. Kröh
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Editor information

Editors and Affiliations

  1. Abteilung für Sexualforschung der Psychiatrischen und Nervenklinik, Universität Hamburg, Martinistraße 52, 2000, Hamburg 20, Deutschland

    Hertha Appelt  & Bernhard Strauß  & 

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Möbus, C., Göricke, G., Kröh, P. (1985). Parametrische und nichtparametrische Methoden der Einzelfallstatistik. In: Appelt, H., Strauß, B. (eds) Ergebnisse einzelfallstatistischer Untersuchungen in Psychosomatik und klinischer Psychologie. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-69817-0_12

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  • DOI: https://doi.org/10.1007/978-3-642-69817-0_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-13512-8

  • Online ISBN: 978-3-642-69817-0

  • eBook Packages: Springer Book Archive

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