DXH_MET1 Methodology 1

Faculty of Economics and Administration
Autumn 2018
Extent and Intensity
24/0/0. 6 credit(s). Type of Completion: z (credit).
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 21. 9. 10:00–16:00 S315, 10:00–16:00 S308, Fri 19. 10. 10:00–16:00 S308, 10:00–16:00 S315, Fri 16. 11. 10:00–16:00 S315, 10:00–16:00 S308, Fri 14. 12. 10:00–16:00 S315, 10:00–16:00 S308
Prerequisites
The course has no specific prerequisites. Students must only be able to formulate the goals of their doctoral project so that they can discuss it with others enrolled. Students are supposed to gradually search for and develop empirical solution of their doctoral projects. DXH_MET1 Methodology 1 is followed by DXH_MET2 Methodology II and is an integral part of it.
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
there are 21 fields of study the course is directly associated with, display
Course objectives
The aim of the course is to gradually build ability - To reshape the theoretical framework of the dissertation project into an realistic plan of empirical solution - In this framework, consider the advantages and disadvantages of the solution in nomotetical or ideographic paradigms - Specify the plan to obtain empirical data - Design the realistic analysis of acquired data and link it with theoretical assumptions - 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 the ability to collect data within a given paradigm, code them, prepare the analysis and link it to the former research aim. At the same time, they will be able to present these results to colleagues.
Syllabus
  • 420/5000 During the first semester of the methodology, 4 meetings will take place, focusing on: I. Formulation of the research plan II. Ensuring the reliability and validity of data generation processes (or equivalent requirements for ideographic solutions) III. Ensure an adequate transfer of empirical data into an dataset and design a realistic analysis plan IV. Obtaining feedback on the consistency of the empirical plan with the original research intent
Literature
    recommended literature
  • FIELD, Andy P. Discovering statistics using IBM SPSS statistics. Online. 5th edition. Los Angeles: Sage, 2018. xxix, 1070. ISBN 9781526419521. [citováno 2024-04-24] info
  • FIELD, Andy and Jeremy MILES. Discovering statistics using R. Online. SAGE, 2012. ISBN 978-1-4462-0045-2. [citováno 2024-04-24] info
  • FIELD, Andy P. and Graham HOLE. How to design and report experiments. Online. Los Angeles: SAGE, 2003. xii, 384. ISBN 0761973834. [citováno 2024-04-24] info
    not specified
  • RIDENOUR, Carolyn S. and Isadore NEWMAN. Mixed methods research : exploring the interactive continuum. Online. Carbondale: Southern Illinois University Press, 2008. xii, 209. ISBN 9780809327799. [citováno 2024-04-24] 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 first, second and third seminar, the students will prepare the position paper with a suggestion of the steps to accomplish the assigned tasks. They will I. Define of the objective of own research II. Propose method of data collection with argumentation regarding the research question III. Design the structure of research data for for an analysis and analysis itself At the same time, each student will study the material of the selected colleague and provide a written feedback on the realism of the proposed steps. Individual tasks are rated as fulfilled or unfulfilled. The condition of successful passing through the course is to fulfill all tasks.
Language of instruction
Czech
Follow-Up Courses
Further Comments
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 2019, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2018, recent)
  • Permalink: https://is.muni.cz/course/econ/autumn2018/DXH_MET1