Who is represented in survey data and statistics and who´s struggles and
needs are thereby acknowledged? The invisibility of people and
perspectives in data is a problem. While the categorization of
dimensions of social position in quantitative research is fraught with
challenges, a sensitive and inclusive data collection through
quantitative survey methodologies can be useful under certain conditions
to address this knowledge gap. These conditions will be elaborated in
this seminar. When is it important to collect socio demographic data in
surveys and how can this be done sensitively? When is it superfluous? As
a part of this evaluation, the role and position of the researcher, as
well as their relation with the research objective will be reflected,
critically. Possibilities to capture different dimensions of social
positions will be weighed. Students will put the material into practice
by developing an own questionnaire.
- Kursverantwortliche/r: Lea Annina Luttenberger