Observational data of four participatory budgeting events in the Netherlands and aggregated data from interviews with participants
Rosa Kindt
This data was collected as part of a research project into the effects of participating in democratic innovations on citizens with populist attitudes. The goal of this research project was to establish how populist citizens perceive the legitimacy of democratic innovation initiatives, how this affects their political attitudes, and whether their populist attitudes might decrease. Within this research project, my thesis was focused on differences between left- and right-wing populist citizens in how they perceive democratic legitimacy of democratic innovation events.
A large part of this dataset is based on interviews with participants to participatory budgeting events. Interviewees were asked after participation in the PB if they were willing to be interviewed and subsequently interviewed on their experiences over the phone in the two to three weeks following their participation. Interviews lasted about 45 minutes. The interviews were then transcribed and analysed using Atlas.ti, resulting in the aggregated datafile that is included in this dataset.
The files in this repository are part of a mixed-methods research into the legitimacy perceptions of participatory budgeting outcomes of (left-wing and right-wing) populist and non-populist respondents. The files included are the codebook for interview analysis and the aggregated data on the different codes for populist, non-populist, left-wing and right-wing populist participants to three participatory budgeting events. In short: they contain the aggregated, anonymised outcomes of the interview analysis that was part of the research and the codebook to be able to make sense of the outcomes. These files are in the folder 'interview analysis'. The repository also hosts the case descriptions of the participatory budgeting events that were studied. These files are referenced in my thesis (In the hands of the right people) in the appendix list. For legibility, the file titles refer back to the relevant appendices in the thesis.