<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Lorenzo De Sio</style></author><author><style face="normal" font="default" size="100%">Mark Franklin</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Generic variable analysis: climbing the ladder of generality with social science data</style></title><secondary-title><style face="normal" font="default" size="100%">1st European Conference on Comparative Electoral Research</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Generic concepts</style></keyword><keyword><style  face="normal" font="default" size="100%">HLM</style></keyword><keyword><style  face="normal" font="default" size="100%">ladder of generality</style></keyword><keyword><style  face="normal" font="default" size="100%">party support</style></keyword><keyword><style  face="normal" font="default" size="100%">vote propensity</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><related-urls><url><style face="normal" font="default" size="100%">http://true-european-voter.eu/sites/default/files/DeSio and Franklin.pdf</style></url></related-urls></urls><pub-location><style face="normal" font="default" size="100%">Sofia</style></pub-location><abstract><style face="normal" font="default" size="100%">This paper attempts to provide a theoretical basis for the use of a set of procedures associated with the use of stacked datasets in the analysis of so-called “propensity to vote” (PTV) questions asked in increasing numbers of election surveys worldwide. These procedures make possible a shift in the conceptual level at which we think about party support, from the level of specific parties to the level of parties in general. The paper considers the the trade-offs involved in choosing a level of analysis and level of conceptualization appropriate to a particular research question. We will argue that these trade-offs should be explicitly considered by researchers who should not routinely settle on the default strategy of analyzing data at the level at which it was collected.</style></abstract></record></records></xml>