R-bloggers

Where Are People More Likely To Treat Climate Change as the Most Serious Global Problem?
We created a longitudinal dataset that contains data on the attitudes European people in various countries, provinces and regions thought climate change was a serious world problem back in 2013, 2015, 2017 and 2019. We join the data with air pollution data so that we can see how serious is the environmental degradation in the smaller area of each (anonymous) respondent.
Last updated on Sep 4, 2022 10 min read R-bloggers
Where Are People More Likely To Treat Climate Change as the Most Serious Global Problem?
What is Retrospective Survey Harmonization?
Retrospective survey harmonization allows the comparison of opinion poll data conducted in different countries or time. In this example we are working with data from surveys that were ex ante harmonized to a certain degree – in our tutorials we are choosing questions that were asked in the same way in many natural languages. For example, you can compare what percentage of the European people in various countries, provinces and regions thought climate change was a serious world problem back in 2013, 2015, 2017 and 2019.
Last updated on Sep 4, 2022 5 min read R-bloggers
What is Retrospective Survey Harmonization?
Eurobarometer Surveys Used In Our Project
In our tutorial series, we are going to harmonize the following questionnaire items from five Eurobarometer harmonized survey files. The Eurobarometer survey files are harmonized across countries, but they are only partially harmonized in time.
Last updated on Nov 7, 2022 6 min read R-bloggers
@CultDataObs CCSI Data Observatory Code & Tutorials rOpenGov/retroharmonize/
Eurobarometer Surveys Used In Our Project
Reproducible Survey Harmonization: retroharmonize Is Released
Our ex post survey harmonization package retroharmonize passed all automated tests and peer-reviews and was released today on CRAN.
Last updated on Nov 13, 2022 2 min read R-bloggers
Reproducible Survey Harmonization: retroharmonize Is Released