DXH_MET2 Methodology 2

Faculty of Economics and Administration
Spring 2019
Extent and Intensity
24/0/0. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. Hynek Cígler, Ph.D. (lecturer)
doc. Mgr. Stanislav Ježek, Ph.D. (lecturer)
Mgr. Jan Širůček, Ph.D. (lecturer)
Guaranteed by
Mgr. Jan Širůček, Ph.D.
Department of Business Management – Faculty of Economics and Administration
Contact Person: Mgr. Lucie Přikrylová
Supplier department: Department of Business Management – Faculty of Economics and Administration
Timetable
Fri 15. 3. 10:00–16:00 S307, Fri 12. 4. 10:00–16:00 S307, Fri 3. 5. 10:00–16:00 S307, Fri 17. 5. 10:00–16:00 S307
Prerequisites
DXH_MET1 Metodologie 1 is a prerequisite course.
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
The aim of the course is to build ability to - collect research data in a real and/or online environment according to the dissertation project theme - perform statistical and/or qualitative data analysis in contemporary software - interpret analytical findings in relation to the former research question - incorporate these findings into the current state of knowledge of the subject - prepare the pilot findings for publication in the format used by Social Science journals - constructively act as an opponent in discussion with other enrolled colleagues
Learning outcomes
Students will be able to grasp the research topic of their dissertation project in practice and to translate it into a series of very concrete steps that will ensure its realization with regard to the validity of the results. They will acquire new skills necessary to analyze and interpret research results in a journal publication based on social science standards. At the same time, they will be able to present these results to colleagues.
Syllabus
  • During the second semester of the methodology, 4 meetings will take place, focusing on: I. Starting of pilot data collection II. and III. Statistical data analysis, qualitative data analysis, interpretation of results IV. Preparing empirical article for publication in scientific journal
Literature
    recommended literature
  • FIELD, Andy P. Discovering statistics using IBM SPSS statistics. 5th edition. Los Angeles: Sage, 2018, xxix, 1070. ISBN 9781526419521. info
  • FIELD, Andy and Jeremy MILES. Discovering statistics using R. SAGE, 2012. ISBN 978-1-4462-0045-2. info
  • FIELD, Andy P. and Graham HOLE. How to design and report experiments. Los Angeles: SAGE, 2003, xii, 384. ISBN 0761973834. info
    not specified
  • RIDENOUR, Carolyn S. and Isadore NEWMAN. Mixed methods research : exploring the interactive continuum. Carbondale: Southern Illinois University Press, 2008, xii, 209. ISBN 9780809327799. info
Teaching methods
The course is designed as a block-taught with a large share of students' work on their own projects and peer feedback. Seminars will be held in six-hours blocks.
Assessment methods
After the second, third and fourth meeting, the student will finish position papers. They will II. Analyse the data from a pilot study III. Interpretet the results after correction of analysis IV. Summarize a draft of an expert article and provide feedback to selected colleague regarding tasks listed above.
Language of instruction
Czech
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 Spring 2020, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Spring 2019, recent)
  • Permalink: https://is.muni.cz/course/econ/spring2019/DXH_MET2