Sequential Requisites Analysis: A New Method for Analyzing Sequential Relationships in Ordinal Data*. (4th February 2019)

• Record Type: Journal Article
• Authors: Lindenfors, Patrik; Krusell, Joshua; Lindberg, Staffan I.
• Is Part Of: Social science quarterly. Volume 100:Number 3(2019)
• Page Start: 838
• Page End: 856
• Publication Date: 2019-02-04
• Subjects: Political science -- Periodicals; Social sciences -- Periodicals; 300
• DOI: 10.1111/ssqu.12588
• Languages: English
• ISSNs: 0038-4941

Abstract

Abstract : Objectives: This article presents a new method inspired by evolutionary biology for analyzing longer sequences of requisites for the emergence of particular outcome variables across numerous combinations of ordinal variables in social science analysis. Methods: The approach is a sorting algorithm through repeated pairwise investigations of states in a set of variables and identifying what states in the variables occur before states in all other variables. We illustrate the proposed method by analyzing a set of variables from version 7.1 of the V‐Dem data set (Coppedge et al. 2017. Varieties of Democracy (V‐Dem) Project; Pemstein et al. 2017. University of Gothenburg, Varieties of Democracy Institute: Working Paper No. 21). With a large set of indicators measured over many years, the method makes it possible to identify and compare long, complex sequences across many variables. Results: This affords an opportunity, for example, to disentangle the sequential requisites of failing and successful sequences in democratization, or if requisites are different during different time periods. Conclusions: For policy purposes, this is instrumental: Which components of democracy occur earlier and which later? Which components of democracy are therefore the ideal targets for democracy promotion at different stages?