The objective of the course is to give students both a broader understanding of research methods and foundational methods-related competences that are required to produce a master’s thesis of high quality in the field of Management and Organization using qualitative and quantitative research methods. The qualitative part of the course focuses on data analytic theories and methods such as grounded theory, data coding, interpretation, displays and connecting strategies, narrative interviewing and analyses, and reporting. The quantitative part of the course will also examine potential data sources for quantitative research projects, and provide an overview different quantitative analysis techniques: machine learning (prediction), estimation of marginal effects (various regression-based techniques), and data description (e.g. visualization, factor analysis, unsupervised learning).
- Teacher: Emma Nordbäck