FIND DATA: By Journal | Sites   ANALYZE DATA: Help with R | SPSS | Stata | Excel   WHAT'S NEW? US Politics | IR | Law & Courts🎵
   FIND DATA: By Journal | Sites   WHAT'S NEW? US Politics | IR | Law & Courts🎵
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 Measure Reveals Flawed Understanding of Media Freedom

Media FreedomItem Response TheoryBayesian Measurement ModelCountriesComparative PoliticsBJPS1 R file2 Stata files11 datasetDataverse
Comparative Politics subfield banner

### What Is Media Freedom?

Media freedom's role in democracy is well-established but often oversimplified with single indicators. This article analyzes ten existing measures to capture its complexity.

### The Challenge of Measurement

Existing media freedom indices struggle due to the concept's multidimensional nature, making cross-national comparison difficult and unreliable.

### A New Approach: Item Response Theory (IRT)

We treat media freedom as a latent variable using IRT with Bayesian estimation. This method creates robust data from 1948-2017 for all 197 countries studied.

### Validating Our Measurement Model

Multiple validity checks ensure our new Media System Freedom measure accurately reflects underlying political realities across diverse contexts.

### Key Findings: Replication and Refinement

Replicating Egorov, Guriev & Sonin (2009) on media freedom and natural resource wealth shows their original results don't hold once properly measuring the construct.

Article card for article: Measuring Media Freedom: An Item Response Theory Analysis of Existing Indicators
Measuring Media Freedom: An Item Response Theory Analysis of Existing Indicators was authored by Jonathan A. Solis and Philip D. Waggoner. It was published by Cambridge in BJPS in 2021.
Find on Google Scholar
Find on JSTOR
Find on CUP
British Journal of Political Science
Edit article record marker