FIND DATA: By Author | Journal | Sites   ANALYZE DATA: Help with R | SPSS | Stata | Excel   WHAT'S NEW? US Politics | Int'l Relations | Law & Courts
   FIND DATA: By Author | Journal | Sites   WHAT'S NEW? US Politics | IR | Law & Courts
If this link is broken, please report as broken. You can also submit updates (will be reviewed).
New Methods Reveal How Freedom of Expression Leads to Democratic Change
Insights from the Field
ordinal sequences analysis
V-Dem dataset
freedom of expression
election
Methodology
PSR&M
4 R files
9 other files
4 text files
11 datasets
Dataverse
Investigating Sequences in Ordinal Data: A New Approach with Adapted Evolutionary Models was authored by Patrik Lindenfors, Fredrik Jansson, Yi-ting Wang and Staffan I. Lindberg. It was published by Cambridge in PSR&M in 2018.

This paper introduces novel approaches for analyzing temporal sequences in ordinal variables. The research explores three complementary methods—frequency tables, transitional graphs, and dependency tables—to investigate causal precedences between political variables.

Frequency Tables: A detailed analysis of value pairs across two variables provides initial insights into their relationships.

Transitional Graphs: These visual representations clearly show which variable typically reaches certain thresholds first in the sequence.

Dependency Tables: Offer a direct test for evaluating if specific values in one variable are prerequisites for changes in another.

The authors demonstrate these methods using data from the V-Dem dataset. Their findings indicate that changes toward electoral democracy consistently follow improvements in freedom of expression and access to alternative information, suggesting these factors as precursors to democratic development.

data
Find on Google Scholar
Find on JSTOR
Find on CUP
Political Science Research & Methods
Podcast host Ryan