Abstract
Increasing 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 paper 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 paper presents results from simulation studies assessing the techniques in the presence of complications 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.
Translated title of the contribution | Studying Social and Political Change using Multilevel Models of Comparative Longitudinal Survey Data |
---|---|
Original language | English |
Pages (from-to) | 119-140 |
Journal | Political Science Research and Methods |
Volume | 2 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2014 |