Sequential Requisites Analysis: A New Method for Analyzing Sequential Relationships in Ordinal Data

21 Pages Posted: 22 Jun 2016

See all articles by Patrik Lindenfors

Patrik Lindenfors

Institute for Future Studies; Stockholm University

Joshua Krusell

University of Gothenburg - Department of Political Science

Staffan I. Lindberg

University of Gothenburg - Varieties of Democracy Institute; University of Gothenburg - Department of Political Science

Date Written: June 2016

Abstract

This paper 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. The approach involves repeated pairwise investigations of states in a set of variables and identifying what states in the variables that occur before states in all other variables. We illustrate the proposed method by analyzing a set of variables from version 6 of the V-Dem dataset (Coppedge et al. 2015a, b). With a large set of indicators measured over many years, the method makes it possible to explore long, complex sequences across many variables in quantitative datasets. This affords an opportunity, for example, to disentangle the sequential requisites of failing and successful sequences in democratization. For policy purposes this is instrumental: Which components of democracy are most exogenous and least endogenous and therefore the ideal targets for democracy promotion at different stages?

Suggested Citation

Lindenfors, Patrik and Krusell, Joshua and Lindberg, Staffan I., Sequential Requisites Analysis: A New Method for Analyzing Sequential Relationships in Ordinal Data (June 2016). V-Dem Working Paper 2016:33, Available at SSRN: https://ssrn.com/abstract=2799228 or http://dx.doi.org/10.2139/ssrn.2799228

Patrik Lindenfors (Contact Author)

Institute for Future Studies ( email )

Holländergatan 13
Stockholm, 11136
Sweden
0703418687 (Phone)

HOME PAGE: http://www.lindenfors.se

Stockholm University ( email )

Centre for the Study of Cultural Evolution
Stockholm, S-106 91
Sweden
+46703418687 (Phone)

HOME PAGE: http://https://www.su.se/profiles/patrikj-1.183878

Joshua Krusell

University of Gothenburg - Department of Political Science ( email )

Box 711
Göteborg, S-405 30
Sweden

Staffan I. Lindberg

University of Gothenburg - Varieties of Democracy Institute ( email )

Sprängkullsgatan 19
Gothenburg, Gothenburg 405 30
Sweden

HOME PAGE: http://www.pol.gu.se/varianter-pa-demokrati--v-dem-/

University of Gothenburg - Department of Political Science ( email )

Box 711
Gothenburg, S-405 30
Sweden

HOME PAGE: http://www.pol.gu.se

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
32
Abstract Views
301
PlumX Metrics