Dynamic Comparative Public Opinion Lab Projects

I a member in the DCPO (Dynamic Comparative Public Opinion) Lab on projects that develop novel methods to estimate latent public opinion from cross-national survey data, overcome issues of missing and incomparable data, and study the dynamics of public opinion across countries.

By Yuehong Cassandra Tai in Latent Variable Measurement DCPO

About DCPO

The study of comparative public opinion has been hampered by “incomparable” data. DCPO is an R package making “comparability” possible by using sophisticated Bayesian IRT method to estimate latent public opinion from cross-national survey data to maximize the information gleaned from available sources and overcome issues of missing data.

For a detailed description, see the working paper here.

Posted on:
July 19, 2021
Length:
1 minute read, 60 words
Categories:
Latent Variable Measurement DCPO
Tags:
DCPO R Latent Variable Measurement
See Also:
Governance and Administration in Networks (GAiN) Lab
DCPO Tools