There is an increasing focus on interpreting the practical significance of effects in the social sciences (Bernardi et al. 2017; Gross 2015). A p-value is rarely, if ever, sufficient to examine the validity of a hypothesis of interest. While a large sample can ensure sufficient statistical power, it will also, all else equal, increase the […]
Category: politics
Some thoughts on uncertainty in politics
We do not easily understand uncertainty and probability. Something as basic as a “30% chance of rain” can cause problems when it comes to the various ways we can interpret such a statement (cf. Gigerenzer 2005). How can we deal with even more complicated uncertanties and probabilities in the domain of politics? I am not […]
The opportunity cost of understanding opportunity costs
I read a study by Modig (2020) on what Swedish economists consider to be the most important economic concepts that ordinary people should acquire and understand. On the top of the list is opportunity cost (see Figure 1 in the paper for an overview of the economic concepts that are important to acquire and understand […]
A dataset with political datasets #2
In 2017, I made a dataset with political datasets. Over the years, when I have found new datasets that might be relevant to political scientists, I have added them to the dataset and overview on GitHub. In 2017, the dataset consisted of ~150 datasets. Now it contains more than 500 datasets. The datasets cover various […]
Opbakningen til de fire gamle partier, 1953-2022
For et par år siden skrev jeg et indlæg, hvor jeg viste opbakningen til de fire gamle partier i meningsmålingerne fra 1957 til 2020. Jeg har ovenpå folketingsvalget forsøgt at arbejde med forskellige måder at visualisere opbakningen til de fire gamle partier ved de seneste folketingsvalg (og altså ikke meningsmålingerne). Jeg fandt det især interessant […]