Public trust, conspiracy theories and political ideology in the COVID-19 era: A cross-sectional Greek study
In: Social sciences & humanities open, Band 8, Heft 1, S. 100715
ISSN: 2590-2911
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In: Social sciences & humanities open, Band 8, Heft 1, S. 100715
ISSN: 2590-2911
In: Statistics, Politics, and Policy, Band 13, Heft 3, S. 297-314
ISSN: 2151-7509
Abstract
In this paper, we investigated the utility of data mining to classify individuals into predefined categories of a target variable, based on their social and political attitude. Data collected for a social psychology study conducted in Greece in 1994 were used for this purpose. We established the theoretical background of our analysis through explanatory factor analysis. We ran the decision tree algorithm CHAID in order to build a predictive model that classifies the study participants in terms of their attitude toward physical and symbolic violence. The CHAID algorithm provided a decision tree that was easily interpreted, and which revealed meaningful predictive patterns. CHAID algorithm showed satisfactory predictive ability and promising alternatives to social psychology data analysis. To the best of our knowledge, there is no other evidence in the literature that the decision tree algorithms can be used to identify latent variables.
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