Raster · dataset · 2018
Replication Data for Investigating Sequences in Ordinal Data: A New Approach with Adapted Evolutionary Models
Listed in DataCite
This paper presents a new approach for studying temporal sequences across ordinal variables.
Description
It involves three complementary methodologies (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 investigates which values of one variable are prerequisites for values in another, as a more direct test of causal hypotheses. We illustrate the proposed methods 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.
Links
Where it is published
- Repository landing page dataverse.harvard.edu/citation?persistentId=doi%3A10.7910%2FDVN%2FVJLWTZ ↗
landing page · from DataCite
- DOI doi.org/10.7910/dvn/vjlwtz ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Zero v1.0 Universal creativecommons.org/publicdomain/zero/1.0/legalcode ↗
license · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.7910/dvn/vjlwtz ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.7910/dvn/vjlwtz ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Political science
- From keywords
- Political science · Social Science
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.7910/dvn/vjlwtz | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| concepts[field].fos:political-science | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].local:field:social-science | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Social Sciences'] |
| description | source · DataCite | connector:datacite@1.0.0 | /data/attributes/descriptions |
| license | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| publication_date | source · DataCite | connector:datacite@1.0.0 | /data/attributes/dates |
| title | source · DataCite | connector:datacite@1.0.0 | /data/attributes/titles/0/title |
| version_label | source · DataCite | connector:datacite@1.0.0 |