Abstract
Abstract In the last decade, the propensity-to-vote (PTV) measure is being increasingly used in the research of electoral behavior. The purpose of this article is to explore the advantages and methodological issues of this measure, applying it for the analysis of the determinants of party choice in the 2016 Lithuanian parliamentary elections. In particular, the article explores the implications of using OLS regression for analysing a generic party with a stacked data matrix instead of cross-classified multilevel modeling.
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