Multiple Regression mit voneinander abhängigen Beobachtungen

Random-Effects und Fixed-Effects
  • Conrad ZillerEmail author
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Part of the Springer Reference Sozialwissenschaften book series (SRS)


Ein Großteil der in der empirisch-vergleichenden Politikwissenschaft verwendeten Datensätze ist räumlich und/oder zeitlich strukturiert. Räumliche und zeitliche Strukturen gehen in der Regel mit statistischen Abhängigkeiten einher, die bei der Datenanalyse mitberücksichtigt werden müssen. Dieser Beitrag stellt Random-Effects-Modelle (RE) und Fixed-Effects-Modelle (FE) als Analysemethoden für voneinander abhängige Beobachtungen vor. Dabei wird auf den Problemgegenstand eingegangen und die Anwendung von RE- und FE-Modellen erklärt. Darüber hinaus werden Entscheidungsheuristiken und Hinweise für die praktische Anwendung gegeben.


Random Effects Fixed Effects Panelanalyse Hybrid-Modelle Mehrebenenanalyse 


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© Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2018

Authors and Affiliations

  1. 1.Universität zu KölnKölnDeutschland

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