The development of large cross-national surveys (ESS, EVS, ISSP) has considerably boosted comparative research. But the equivalence of the collected data from one coun-try to another is not obvious.  Drawing from her own research and innovative mixed method approaches, Katharina Meitinger, proposes a checklist of the major biases to be aware of at all levels (concepts, question items, mode of collect) and the way to over-come them. Emmanuele Ferragina discusses these methodological issues from a public policies analysis perspective.

Speaker 

Katharina Meitinger (Department of Methodology and Statistics, Utrecht University), has focused her recent research on comparability problems of cross-national survey data. She has recently published: “Detecting and explaining missing comparability in cross-national studies: The case of citizen evaluation of patriotism, Survey Research Methods, 17(4), 2023, p. 493-507 (with P. Schmidt and M. Braun); “Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives”, Social Science Research, 110, Article 102805 (with H. Leitgöb et al.)

Discussant

Emanuele Ferragina (Sciences Po, CRIS, LIEPP), is a specialist of international political economy and comparative social policy and particularly interested in methodological issues, in public policy analysis. He has recently published: "Maternal Employment and Childcare Use from an Intersectional Perspective: Stratification along Class, Contractual and Gender Lines in Denmark, France, Germany, Italy, Sweden and the UK", Social Poli-tics, vol. 30(3), 2023, p. 871-902 (with Edoardo Magalini); "Comparative mainstreaming? Mapping the uses of the comparative method in social policy, sociology, and political science since the 1970s", Journal of European Social Policy, 33 (1), 2023, p. 132-147.2023(with Christopher Deeming). 

Chair

Nonna Mayer (Sciences Po, CEE, CNRS)

Scientific coordination: Samy Cohen, Sciences Po, CERI, Nonna Mayer, Sciences Po, CEE, CNRS