Meitinger Katharina
Katharina Meitinger is a researcher at GESIS Leibniz Institute for the Social Sciences, Mannheim, Germany, and a teaching associate at the University of Mannheim, Mannheim, Germany. The author thanks Michael Braun, Eldad Davidov, three anonymous reviewers, and the editors for their helpful comments on earlier versions of this manuscript, as well as Dorothée Behr, Lars Kaczmirek, and Wolfgang Bandilla for sharing their expertise in online probing. This research was funded by the German Research Foundation (DFG) as part of the project "Optimizing Probing Procedures for Cross-National Web Surveys" [BR 908/5-1 to Michael Braun, Wolfgang Bandilla, and Lars Kaczmirek]. An earlier version of this paper was presented at the 2016 Conference of the World Association for Public Opinion Research and won the Janet A. Harkness Student Paper Award and the NCHS Monroe Sirken Innovative Award for Young Scholars of Question Evaluation.
Public Opin Q. 2017 May;81(2):447-472. doi: 10.1093/poq/nfx009. Epub 2017 May 19.
Cross-national data production in social science research has increased dramatically in recent decades. Assessing the comparability of data is necessary before drawing substantive conclusions that are based on cross-national data. Researchers assessing data comparability typically use either quantitative methods such as multigroup confirmatory factor analysis or qualitative methods such as online probing. Because both methods have complementary strengths and weaknesses, this study applies both multigroup confirmatory factor analysis and online probing in a mixed-methods approach to assess the comparability of constructive patriotism and nationalism, two important concepts in the study of national identity. Previous measurement invariance tests failed to achieve scalar measurement invariance, which prohibits a cross-national comparison of latent means (Davidov 2009). The arrival of the 2013 ISSP Module on National Identity has encouraged a reassessment of both constructs and a push to understand why scalar invariance cannot be achieved. Using the example of constructive patriotism and nationalism, this study demonstrates how the combination of multigroup confirmatory factor analysis and online probing can uncover and explain issues related to cross-national comparability.
近几十年来,社会科学研究中的跨国数据产出急剧增加。在基于跨国数据得出实质性结论之前,评估数据的可比性是必要的。评估数据可比性的研究人员通常使用多组验证性因素分析等定量方法或在线探测等定性方法。由于这两种方法都有互补的优缺点,本研究采用多组验证性因素分析和在线探测相结合的混合方法,来评估建构性爱国主义和民族主义这两个国家认同研究中的重要概念的可比性。以往的测量不变性检验未能实现标量测量不变性,这使得无法对潜在均值进行跨国比较(达维多夫,2009年)。2013年国际社会调查项目(ISSP)关于国家认同模块的出现,促使人们对这两个概念进行重新评估,并推动人们去理解为何无法实现标量不变性。以建构性爱国主义和民族主义为例,本研究展示了多组验证性因素分析和在线探测相结合如何能够揭示和解释与跨国可比性相关的问题。