Suchergebnisse

AbstractMost studies of political participation have either focused on specific political behaviours or combined several behaviours into additive scales of institutional versus non‐institutional participation. Through a multi‐group latent class analysis of participation in 15 different political actions, conducted among citizens from four Western European countries, we identified five empirically grounded participant types that differ in their political engagement, socio‐demographic characteristics and political attitudes: 'voter specialists', 'expressive voters', 'online participants', 'all‐round activists' and 'inactives'. While the same participant types were identified in all four countries, the proportion of citizens assigned to each type varies across countries. Our results challenge the claim that some citizens specialize in protest politics at the expense of electoral politics. Furthermore, our typological approach challenges previous findings on the individual characteristics associated with political (in)action.

Digital trace data are receiving increased attention as a potential way to capture human behavior. Nevertheless, this type of data is far from perfect and may not always provide better data compared to traditional social surveys. In this study we estimate measurement quality of survey and digital trace data on smartphone usage with a MultiTrait MultiMethod (MTMM) model. The experimental design included five topics relating to the use of smartphones (traits) measured with five methods: three different survey scales (a 5- and a 7-point frequency scale and an open-ended question on duration) and two measures from digital trace data (frequency and duration). We show that surveys and digital trace data measures have very low correlation with each other. We also show that all measures are far from perfect and, while digital trace data appears to have often better quality compared to surveys, that is not always the case.