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AbstractOne 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.

This article considers individual, communal, and cantonal sources of voting behavior in the 2007 National Council elections in Switzerland. Using hierarchical linear models, it is shown how the vote propensity for the five main parties (CVP, FDP, Greens, SP, and SVP) varies across individuals, communes, and cantons. Key explanatory factors at each of these levels are explored, as well as cross-party differences in the effects of these factors. Adapted from the source document.

This article considers individual, communal, and cantonal sources of voting behavior in the 2007 National Council elections in Switzerland. Using hierarchical linear models, it is shown how the vote propensity for the five main parties (CVP, FDP, Greens, SP, and SVP) varies across individuals, communes, and cantons. Key explanatory factors at each of these levels are explored, as well as cross‐party differences in the effects of these factors.

A statistic—the similarity coefficient—is developed for assessing the property that a set of scale items measures one and only one construct. This statistic is rooted in an explicit measurement model and is flexible enough to be used in exploratory scale analyses, even in small samples. Methods for analyzing similarity coefficients are described and illustrated in analyses of Stimson's (1991) policy mood data and Markus' (1990) popular individualism items. The Appendix discusses the statistical properties of similarity coefficients.

Right-wing populist parties in European democracies appeal to citizens' feelings of uncertainty related to globalization by promoting tough immigration laws and curbing the power of the European Union. This article adds to our understanding of how individuals' risk propensity relates to support for right-wing populist parties and their ideas in the context of globalization. In particular, by drawing on survey data from the United Kingdom we investigate how this personality trait relates to support for the United Kingdom Independence Party and the vote for a British exit from the European Union. The article explores the complex interplay between risk propensity and right-wing populist appeals by dissecting the direct, indirect and total effects of this trait.

Abstract. Although expert surveys have gained a prominent place in comparative studies of party positions on issues, their validity has been called into question. In this article, some of the validity concerns are evaluated in the context of the authors' own expert survey on national party positions vis‐à‐vis European integration. One goal of the article is to demonstrate that this expert survey produces valid measures of party positions. An equally important goal, however, is to suggest some methods that can help in assessing the quality of expert survey data. These methods, which are rooted in psychometric theory, are applicable in a variety of contexts and are easily implemented.

Examines impact of prosocial orientations on attitudes toward social welfare policies, focusing on the orientation of humanitarianism, which is defined as a sense of obligation to help those in need; US.