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One of the most problematic aspect of p‐values is the tendency to dichotomize, whereby statistical significance is equated with scientifically worthwhile and insignificance with worthless findings. This article outlines two approaches that move beyond such dichotomies: minimum Bayes factors and the analysis of credibility. Their use is illustrated through a simple example. The examples show that significant findings may not always be as telling as statistical significance would suggest, whereas non‐significant findings may contain considerable evidence about effects. [ABSTRACT FROM AUTHOR]

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The article discusses various reports published within the issue, including one by Simon Niemeyer and John Dryzek on deliberative democracy in Australia and another by Judith Bara, Albert Weale and Aude Biquelet on the use of computer-assisted textual analysis (CATA) to assess positions of Members of Parliament on abortion in Great Britain.

Copyright of Swiss Political Science Review is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)