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Sequential Requisites Analysis: A New Method for Analyzing Sequential Relationships in Ordinal Data
Stockholm University, Faculty of Science, Department of Zoology. Institute for Future Studies, Sweden.ORCID iD: 0000-0003-3245-0850
Number of Authors: 32019 (English)In: Social Science Quarterly, ISSN 0038-4941, E-ISSN 1540-6237, Vol. 100, no 3, p. 838-856Article in journal (Refereed) Published
Abstract [en]

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 etal. 2017. Varieties of Democracy (V-Dem) Project; Pemstein etal. 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?

Place, publisher, year, edition, pages
2019. Vol. 100, no 3, p. 838-856
National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:su:diva-170144DOI: 10.1111/ssqu.12588ISI: 000467860700022PubMedID: 31068735OAI: oai:DiVA.org:su-170144DiVA, id: diva2:1331211
Available from: 2019-06-26 Created: 2019-06-26 Last updated: 2019-06-26Bibliographically approved

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