MPR_QQRM Qualitative and Quantitative Research Methods

Faculty of Economics and Administration
Autumn 2023
Extent and Intensity
1/1/0. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
RNDr. Bohumil Frantál, Ph.D. (lecturer)
doc. RNDr. Josef Kunc, Ph.D. (lecturer)
Ing. Markéta Novotná, Ph.D. (lecturer)
Mgr. Petr Tonev, Ph.D. (lecturer)
RNDr. Bohumil Frantál, Ph.D. (seminar tutor)
doc. RNDr. Josef Kunc, Ph.D. (seminar tutor)
Ing. Markéta Novotná, Ph.D. (seminar tutor)
Mgr. Petr Tonev, Ph.D. (seminar tutor)
Guaranteed by
Mgr. Petr Tonev, Ph.D.
Department of Regional Economics – Faculty of Economics and Administration
Contact Person: Ing. Iveta Suchomelová Vašíčková
Supplier department: Department of Regional Economics – Faculty of Economics and Administration
Timetable
Fri 8:00–8:50 VT314, except Fri 22. 9., except Fri 10. 11.
  • Timetable of Seminar Groups:
MPR_QQRM/01: Fri 9:00–9:50 VT314, except Fri 22. 9., except Fri 10. 11., J. Kunc, M. Novotná, P. Tonev
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
This course will provide students with both the understanding of principles that guide quality research and the tools needed to implement those principles in designing a research project, formulating the right questions, selecting appropriate methods (qualitative, quantitative, or mixed methods), collecting and analysing data, and presenting their findings. It will focus on the practical application of the concepts and methods discussed in the course by conducting students’ own research projects and critically analysing the research of others.
The main objective of this course is to provide students with practical skills in the field of spatial socio-economic data. The emphasis is placed on basic information about the data sources, methods of their processing, analysis, evaluation, and their correct interpretation. Different types of data allow to know development tendencies and trends in socio-economic processes in the territory and serve as an input for elaboration of development strategies and as a basis for decision-making processes in the territory.
Learning outcomes
At the end of the course, students should be able to:
- find, sort, and classify spatial data coming from common public sources;
- to design the research project;
- design, prepare and carry out questionnaire surveys;
- apply appropriate methods of research in practice;
- process data and interpret achieved results;
- apply the acquired knowledge in the managerial practice.
Syllabus
  • 1. Socio-economic statistics, state statistical service
  • 2. Principles of designing the research project
  • 3. Ways of data collection in regional science
  • 4. Selected qualitative methods in regionally oriented research
  • 5. Questionnaire survey and its use in regionally oriented research
  • 6. GIS – accessing and understanding data, data classification
  • 7. GIS and spatial data analysis
  • 8. Cartographic data visualization
  • 9. Complex networks in regional economics
  • 10. Network analysis and data visualization
  • 11. Research presentation and communication
Literature
    required literature
  • Key methods in geography. Edited by N. J. Clifford - Gill Valentine - Shaun French. London: SAGE Publications. xviii, 545. ISBN 9781412935081. 2010. info
  • DWYER, L., GILL, A., SEETARAM, N. (2012). Handbook of research methods in tourism: quantitative and qualitative approaches. Edited by. Cheltenham, UK: Edward Elgar, 514. ISBN 9781781001288.
  • KENETT, D. Y., & HAVLIN, S. (2015). Network science: a useful tool in economics and finance. Mind & Society, 14(2), 155-167.
    recommended literature
  • BAGGIO, R., KLOBAS, J. E. (2011). Quantitative methods in tourism: a handbook. Bristol: Channel View Publications, 225. ISBN 9781845411749.
  • PROVAN, K. G., KENIS, P. (2008). Modes of network governance: Structure, management, and effectiveness. Journal of public administration research and theory, 18(2), 229-252.
  • FU, P. (2020). Getting to know Web GIS. Fourth Edition. Redlands, California: Esri Press, 486. ISBN 978-1-58948-592-1.
Teaching methods
Lessons take the form of lectures and seminars. It is expected students´ activity in seminars and elaboration of a research project based on the lecturers' instructions.
Assessment methods
To sign for the exam, students must fulfil the following requirements: 100% attendance at seminars and submission of the research project in the required quality.
The evaluation consists of verifying the students' practical skills (based on the presentation of the project and the ability of argumentation, 60% of grade), and testing their theoretical knowledge (written test 40% of grade).
To obtain a mark from the course, students must reach at least 60% of all points in both parts of the evaluation.
Language of instruction
English
Further Comments
The course is taught annually.
The course is also listed under the following terms Autumn 2022, Autumn 2024.
  • Enrolment Statistics (recent)
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