Multilevel Modeling Techniques for Analyzing Comparative Longitudinal Survey

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Two Multilevel Modeling Techniques for Analyzing Comparative Longitudinal Survey Datasets  Malcolm FairbrotherAbstractIncreasing numbers of comparative survey datasets span multiple waves. Moving beyond purely cross-sectional Analyses, multilevel longitudinal analyses of such datasets should generate substantively important insights into the political, social and economic correlates of many individual-level outcomes of interest (attitudes, behaviors, etc.). This article describes two simple techniques for extracting such insights, which allow change over time in y to be a function of change over time in x and/or of a time-invariant x. The article presents results from simulation studies that assess the techniques in the presence of complications that are likely to arise with real-world data, and concludes with applications to the issues of generalized social trust and postmaterialist values, using data from World/European Values Surveys.


Two Multilevel Modeling Techniques for Analyzing 2013.pdf (496.68 KB)

2014-1-7 09:59:22 上传

Two Multilevel Modeling Techniques for Analyzing Comparative Longitudinal Survey Datasets

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关键词：Longitudinal Comparative Longitudina Techniques Multilevel political describes important economic generate