Worldwide Climate Change Opinion: Limitations on Latent Trend Models

24 Pages Posted: 30 Apr 2019

See all articles by Clara Vandeweerdt

Clara Vandeweerdt

Massachusetts Institute of Technology (MIT) - Department of Political Science

Date Written: March 29, 2019

Abstract

In this paper, I test how well a group-level, ordinal item-response theory (IRT) model can summarize trends in concern about climate change at the country level. I fit the model to data from almost 2.8 million survey question responses. I show that the resulting indicator gives us a fair summary of countries' comparative climate concern at a given point in time. However, it does not do well at summarizing over-time variation in climate opinion within countries. These results show that even with a large amount of data, group-level IRT models are not guaranteed to retrieve time trends correctly, and that it is crucial to validate model outputs.

Keywords: climate, trend, model, latent, IRT, output, test

Suggested Citation

Vandeweerdt, Clara, Worldwide Climate Change Opinion: Limitations on Latent Trend Models (March 29, 2019). MIT Political Science Department Research Paper No. 2019-7. Available at SSRN: https://ssrn.com/abstract=3378609 or http://dx.doi.org/10.2139/ssrn.3378609

Clara Vandeweerdt (Contact Author)

Massachusetts Institute of Technology (MIT) - Department of Political Science ( email )

77 Massachusetts Avenue
Cambridge, MA 02139
United States

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