Global evidence in local debates: the Programme for International Student Assessment (PISA) in Swiss direct-democratic debates on school policy

This article analyses the use of the Programme for International Student Assessment (PISA) and other evidence in educational policy discourse in the context of direct-democratic votes in Switzerland. The results of a quantitative content analysis show that PISA is used by all actors to support a wide range of policy measures and ideological positions. Other evidence, however, is only used to support single specific policy positions. These findings demonstrate the ubiquity of PISA. The article discusses these results in view of the question of whether the incorporation of evidence into policy debates contributes to informed discourse.

Does a reference to evaluations contribute to discourse quality? The case of Swiss direct-democratic campaigns on school policy: a conceptual framework

This article examines how references to evaluations in school policy debates contribute to discourse quality. The article consists of two parts: First, it presents a descriptive overview of the references to evidence in direct-democratic campaigns. These results are based on a quantitative content analysis of the newspaper coverage and governmental information documents of 103 direct-democratic Swiss school policy votes. In a second step, it discusses these findings in view of the question of whether the incorporation of evaluation results in policy debates contributes to discourse quality. It presents a conceptual framework, including hypotheses and a research design to answer this question.

Social Network Analysis and Qualitative Comparative Analysis: Their mutual benefit for the explanation of policy network structures

By switching the level of analysis and aggregating data from the micro-level of individual cases to the macro-level, quantitative data can be analysed within a more case-based approach. This paper presents such an approach in two steps: In a first step, it discusses the combination of Social Network Analysis (SNA) and Qualitative Comparative Analysis (QCA) in a sequential mixed-methods research design. In such a design, quantitative social network data on individual cases and their relations at the micro-level are used to describe the structure of the network that these cases constitute at the macro-level. Different network structures can then be compared by QCA. This strategy allows adding an element of potential causal explanation to SNA, while SNA-indicators allow for a systematic description of the cases to be compared by QCA. Because mixing methods can be a promising, but also a risky endeavour, the methodological part also discusses the possibility that underlying assumptions of both methods could clash. In a second step, the research design presented beforehand is applied to an empirical study of policy network structures in Swiss politics. Through a comparison of 11 policy networks, causal paths that lead to a conflictual or consensual policy network structure are identified and discussed. The analysis reveals that different theoretical factors matter and that multiple conjunctural causation is at work. Based on both the methodological discussion and the empirical application, it appears that a combination of SNA and QCA can represent a helpful methodological design for social science research and a possibility of using quantitative data with a more case-based approach.