LFU:online

Students acquire the ability to conduct a research project independently and systematically. The goal of the seminar is to learn new approaches to qualitative data analysis and gain the ability to apply them practically.

Importance of research projects, stages you need to complete a research project, how to identify the attributes of a good research project, how to distinguish between research approaches, how to select a sample, development of interview guidelines and questionnaires, methods available for data analysis, application of methods in RStudio, visualization of results in RStudio.

Lecture, discussion, group presentations

Active class participation, Individual assignments, Group assignments

Bryman and Bell, (2011): Business Research Methods 3e, Third Edition, Oxford University Press.

Saunders, M./Lewis, P./Thornhill, A. (2007): Research Methods for Business Students, 4th Ed., Prentice Hall

Wickham, H., & Grolemund, G. (2016). R for data science: import, tidy, transform, visualize, and model data. "O'Reilly Media, Inc.

Silge, J., & Robinson, D. (2017). Text mining with R: A tidy approach. "O’Reilly Media, Inc.". https://www.tidytextmining.com