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Statistical Analysis of Experimental Data

  • Susumu Shikano
  • Thomas Bräuninger
  • Michael Stoffel
Part of the Research Methods Series book series (REMES)

Abstract

While an increasing number of observational studies in modern political science use quite sophisticated statistical methods, experimental studies often continue to apply rather simple statistical instruments like t-tests or analysis of variance (ANOVA). At first sight this is surprising if one considers that many modern statistical methods had been developed and invented for the analysis of data generated in random experiments (see, for example, Fisher, 1935). It is, however, less surprising if one considers that more sophisticated statistical methods were developed much later in order to cope with specific data problems in observational studies. Looking from the perspective of the random experimentalist, the most serious statistical challenges in observational data arise from treatment imbalance and from the violation of the assumption that the independent variables are distributed independently and identically at random.

Keywords

Committee Member Ideal Point Test Person Condorcet Winner Subject Effect 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Susumu Shikano , Thomas Bräuninger and Michael Stoffel 2012

Authors and Affiliations

  • Susumu Shikano
  • Thomas Bräuninger
  • Michael Stoffel

There are no affiliations available

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