TJTJ7702 Quantitative Research Methods in Information Systems (3–6 cr)
Description
The course offers the doctoral student a comprehensive picture of quantitative research methods and it is organized in order to support the quantitative analysis of the student’s research. The course investigates formulating the research questions into
statistical questions, the justifications for choosing the most relevant
analysis methods, the limitations set by the data for the applicability
of particular research methods as well as matters related to conducting
analyses and interpreting and reporting them. Exercises are provided to practice the skills.
Learning outcomes
After the completion of the course,
The doctoral student is able to analytically read the research that uses quantitative research methods.
The doctoral student can assess the validity of quantitative research and the fruitfulness of the methods applied.
The doctoral student is also able to choose the quantitative research methods that best serve her/his own research task and to give justifications for choosing those particular methods.
The doctoral student learns to master the methods s/he has decided to use efficiently, reliably, and responsibly.
The doctoral student can interpret and report the results of her/his analysis in a way that is appropriate to the field of science in question as well as estimate how well those methods work.
Additional information
NOTE! Not provided in the academic year 2020-21. If necessary, the course can be replaced by similar courses organised e.g. by INFORTE or IHME. International courses are also possible. Discuss about possible studies with your supervisor.
Study materials
Course material includes exercises and reading of the material provided.
Literature
- Thomas, R.M., 2003. Blending qualitative and quantitative research methods in theses and dissertations. Corwin Press.
- Venkatesh, V., Brown, S. A., & Bala, H. (2013). Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods research in information systems. MIS quarterly, 21-54.
- Vogt, W. P. (Ed.). (2011). SAGE quantitative research methods. Sage.
- Lee, A. S., & Baskerville, R. L. (2003). Generalizing generalizability in information systems research. Information systems research, 14(3), 221-243.