Periodic Reporting for period 4 - ENHANCEDQMMR (Enhanced Qualitative and Multi-Method Research in Political Science)
Reporting period: 2019-12-01 to 2020-04-30
In work package two, we ran a survey experiment that aims to understand better how social scientists decide about the research design that they implement and what inferences they make conditional on the nature and amount of data that they see. We further wrote a paper that discusses theories of causation, causal inference and social science methods from a comprehensive perspective and performed a novel and innovative survey of researchers asking them for their view of social science methods and causal inference.
In work package three, we performed simulations comparing QCA results with regression results for a wide number of different set-relational data-generating processes. The simulations allows us to understand better when and under what conditions QCA derives the correct solutions from the data and when regression produces results that mimic the data-generating process.
In work package four, we develop Bayesian nested analysis as an alternative to the conventional frequentist version. An R package will be available for the implementation of Bayesian nested analysis in empirical research.