Learning outcomes

After completing the course the doctoral student is familiar with the principles and methods of collecting quantitative data and knows how to choose the methods that best serve her/his own research. S/he is able to estimate the quantity and quality of the data and especially its validity and reliability. S/he knows how to use quantitative data that has already been gathered but can also plan and execute gathering her/his own data.

Contents

Various courses may be included under this heading. In general, each course deals with a particular method which is used to gather quantitative data. Some courses look at ready-made data and how they can be used efficiently. The doctoral student gains general knowledge about the methods of gathering quantitative data, especially about sampling methods and the opportunities and limitations they entail. S/he learns about the basic uses of quantitative methods and gets practice in their use. S/he will also gain the skills needed to estimate how relevant the methods are for her/his own research. Some courses deal with planning the data gathering for the thesis and the students get feedback from a supervisor.

Teaching language

Evaluation

Belongs to following study modules

2018–2019

Teaching

Archived Teaching Schedule. Please refer to current Teaching Shedule.

-