Investigating Sequences in Ordinal Data: A New Approach with Adapted Evolutionary Models

Patrik Lindenfors, Fredrik Jansson, Yi Ting Wang, Staffan I. Lindberg

研究成果: Article同行評審

4 引文 斯高帕斯(Scopus)

摘要

This paper presents a new approach for studying temporal sequences across ordinal variables. It involves three complementary approaches (frequency tables, transitional graphs, and dependency tables), as well as an established adaptation based on Bayesian dynamical systems, inferring a general system of change. The frequency tables count pairs of values in two variables and transitional graphs depict changes, showing which variable tends to attain high values first. The dependency tables investigate which values of one variable are prerequisites for values in another, as a more direct test of causal hypotheses. We illustrate the proposed approaches by analyzing the V-Dem dataset, and show that changes in electoral democracy are preceded by changes in freedom of expression and access to alternative information.

原文English
頁(從 - 到)449-466
頁數18
期刊Political Science Research and Methods
6
發行號3
DOIs
出版狀態Published - 2018 七月 1

All Science Journal Classification (ASJC) codes

  • 社會學與政治學
  • 政治學與國際關係

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