DXH_MET1 Methodology 1

Faculty of Economics and Administration
Autumn 2023
Extent and Intensity
0/24/0. 6 credit(s). Type of Completion: zk (examination).
Taught in person.
Teacher(s)
Mgr. Martin Guzi, Ph.D. (lecturer)
doc. Ing. Ondřej Krčál, Ph.D. (lecturer)
prof. Ing. Štefan Lyócsa, PhD. (lecturer)
doc. Ing. Štěpán Mikula, Ph.D. (lecturer)
doc. Ing. Mgr. Jakub Procházka, Ph.D. (lecturer)
Guaranteed by
doc. Ing. Ondřej Krčál, Ph.D.
Faculty of Economics and Administration
Contact Person: Mgr. Lucie Přikrylová
Supplier department: Faculty of Economics and Administration
Timetable
Mon 25. 9. 8:00–12:00 S301, Thu 5. 10. 8:30–12:30 168, Thu 9. 11. 8:30–12:30 MT205, Thu 23. 11. 9:00–12:00 MT205, Fri 24. 11. 9:00–12:00 MT205, Thu 7. 12. 9:00–12:00 S315, Fri 8. 12. 9:00–12:00 MT205
Prerequisites
This is an introductory course and has no specific prerequisites. Students are expected to be able to read and write in English in the area of their dissertation.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
there are 26 fields of study the course is directly associated with, display
Course objectives
The course provides an introduction to understanding and doing empirical research. It aims to provide a common working foundation to graduates of various fields which substantially differ in the their research methods curriculum. The aim of the course is to introduce students to the basic components of research planning and execution Presented theory is applied to individual students' dissertation topics.
Learning outcomes
At the end of the course students will have a basic knowledge of quantitive research methods. They will be able to write a successful simple research proposal, know how to carry out a study based on the proposal, analyse and write up the results. As a consequence they will be more competent research consumers and critical peers.
Syllabus
  • 1. Introduction to scientific writing (Š. Lyócsa)
  • 2. Critical literary research (M. Guzi)
  • 3. Survey data collection (J. Procházka)
  • 4. Randomisation and experiments (O. Krčál)
  • 5. Identification on observational (e.g. administrative) data (Š. Mikula)
Literature
    required literature
  • Choi, B. C., & Pak, A. W. (2005). A catalog of biases in questionnaires. Preventing chronic disease, 2(1). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1323316/
  • Vannette, D. L. (Eds.). (2017). The Palgrave handbook of survey research. Springer. Chapters 2 (pp 7-12), 4 (pp 19-22), 5(23-28), 7 (pp 43-50), 9 (pp 63-70), 13 (pp 95-101), 14 (pp 103-107). https://link.springer.com/book/10.1007/978-3-319-54395-6#toc
  • MOFFATT, Peter G. Experimetrics : econometrics for experimental economics. First published. London: Palgrave Macmillan, 2016. xv, 476. ISBN 9780230250239. info
  • FRÉCHETTE, Guillaume R. and Andrew SCHOTTER. Handbook of Experimental Economic Methodology. Oxford University Press, 2015. ISBN 978-0-19-532832-5. info
    recommended literature
  • Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25 (24): 3186–3191. https://pubmed.ncbi.nlm.nih.gov/11124735/
  • Boateng, G. O., et al. (2018). Best practices for developing and validating scales for health, social, and behavioral research: a primer. Frontiers in public health, 6, 149. https://www.frontiersin.org/articles/10.3389/fpubh.2018.00149/full
  • Epstein, J., et al. (2015). A review of guidelines for cross-cultural adaptation of questionnaires could not bring out a consensus. Journal of clinical epidemiology, 68(4), 435-441.https://www.sciencedirect.com/science/article/pii/S0895435614004995
  • Tourangeau, R., Rips, L. J., & Rasinski, K. (2000). The psychology of survey response. https://www.cambridge.org/core/books/psychology-of-survey-response/46DE3D6F7C1399BCDC78D9441C630372
  • Kessler, J., & Vesterlund, L. (2015). The external validity of laboratory experiments: The misleading emphasis on quantitative effects. Handbook of experimental economic methodology, 18, 392-405.
  • Levitt, S. D., & List, J. A. (2007). What do laboratory experiments measuring social preferences reveal about the real world?. Journal of Economic perspectives, 21(2), 153-174.
  • List, J. A. (2020). Non est disputandum de generalizability? a glimpse into the external validity trial (No. w27535). National Bureau of Economic Research.
Teaching methods
The course consists of blocks that represent different stages of research or a particular methods. Methodological procedures will be demonstrated through illustrative examples of research, typically published articles.
Assessment methods
The course is completed by a written test containing 20 closed questions. And a written elaboration and subsequent oral presentation/defense of a research proposal using 1 of the presented research methods of your choice. The proposal will be evaluated by a committee composed of the course instructors.
The grading scale will be the following >=90% A, 89-83% B, 82 - 75% C, 74 - 68% D, 67 - 60 % E, less than 60% F.
Language of instruction
English
Follow-Up Courses
Further Comments
Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
The course is also listed under the following terms Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022.
  • Enrolment Statistics (recent)
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