nk2019 Methodology of Science

Faculty of Sports Studies
Autumn 2018
Extent and Intensity
7/7. 2 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. RNDr. Jiří Zháněl, Dr. (lecturer)
Mgr. Michal Bozděch, Ph.D. (seminar tutor)
PhDr. Antonín Zderčík, Ph.D. (assistant)
Guaranteed by
doc. RNDr. Jiří Zháněl, Dr.
Department of Kinesiology – Faculty of Sports Studies
Supplier department: Department of Kinesiology – Faculty of Sports Studies
Timetable
Fri 21. 9. 8:00–10:30 B11/206, Fri 5. 10. 8:00–9:40 B11/206, Fri 19. 10. 12:10–13:50 B11/206
  • Timetable of Seminar Groups:
nk2019/01: Fri 5. 10. 16:45–19:15 B11/206, Fri 30. 11. 9:15–10:55 B11/206, Fri 14. 12. 14:15–15:55 B11/206, J. Zháněl
nk2019/02: Fri 12. 10. 10:55–12:35 B11/206, Fri 9. 11. 8:00–10:30 B11/206, Fri 23. 11. 16:20–18:00 B11/206, J. Zháněl
nk2019/03: Fri 23. 11. 12:35–15:05 B11/206, Fri 30. 11. 14:40–16:20 B11/206, Fri 7. 12. 12:35–14:15 B11/206, J. Zháněl
Prerequisites
knowledge of basic concepts of descriptive statistics (measures of central tendency, variability, depending). Knowledge of their application in the analysis of research data.
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 10 fields of study the course is directly associated with, display
Course objectives
At the end of this course the student will be able to:
orientation in basic terms of quantitative research
gaining competencies to create quantitative research project
mastering the basic concepts of the theory of measurement (measuring scale) and statistical methods (descriptive statistics, inferential statistics)
Learning outcomes
Student is able after graduation:
- to define the basic concepts of science methodology, quantitative and qualitative research;
- name the research problem and identify the types of research; cite relevant lessons learned from the literature;
- explain the research goal, formulate research questions/hypotheses; describe the research file and the method of selection;
- characterize the structure of scientific work; to use methodological knowledge at creation of a research project;
- define the basic concepts of measurement theory, descriptive and inferential statistics
- analyze research data by descriptive statistics; calculate location, variability and dependency rates;
- test research hypotheses using inferential statistics;
- formulate research findings; summarize the content of the research work in the abstract.
Syllabus
  • The general structure of scientific work
  • Quantitative research
  • Research methods, types of research
  • Research problem, research question, objective research
  • Hypotheses. Variable types
  • Quality criteria (reliability, objectivity, validity)
  • Methods of descriptive and inferential statistics
Literature
    required literature
  • ZHÁNĚL, Jiří, Vladimír HELLEBRANDT and Martin SEBERA. Metodologie výzkumné práce (Research methodology). Brno: Masarykova univerzita, 2014, 65 pp. 1. ISBN 978-80-210-6875-9. info
  • HENDL, Jan. Přehled statistických metod : analýza a metaanalýza dat. 4., rozšířené vyd. Praha: Portál, 2012, 734 s. ISBN 9788026202004. info
    not specified
  • HENDL, Jan. Statistika v aplikacích. Vydání první. Praha: Portál, 2014, 455 stran. ISBN 9788026207009. info
  • HENDL, Jan. Kvalitativní výzkum : základní teorie, metody a aplikace. 3. vyd. Praha: Portál, 2012, 407 s. ISBN 9788026202196. info
  • Research methodology for sport and exercise science : a comprehensive introduction for study and research. Edited by Herbert Haag. 2nd ed. Berlin: Logos, 2010, 449 s. ISBN 9783832524999. info
  • PUNCH, Keith. Úspěšný návrh výzkumu. Translated by Jan Hendl. Vyd. 1. Praha: Portál, 2008, 230 s. ISBN 9788073674687. info
  • FAJKUS, Břetislav. Filosofie a metodologie vědy : vývoj, současnost a perspektivy. Vyd. 1. Praha: Academia, 2005, 339 s. ISBN 8020013040. info
  • BLAHUŠ, Petr. Statistická významnost versus vědecká průkaznost výsledků výzkumu. In Výuka statistiky v České republice I. Praha: Matfyzpres, 2002, p. 13-36, 23 pp. ISBN 80-85863-98-7. info
  • Elementární statistická analýza. Edited by Lubomír Cyhelský - Jana Kahounová - Richard Hindls. 2. dopl. vyd. Praha: Management Press, 2001, 318 s. ISBN 80-7261-003-1. info
  • BLAHUŠ, Petr. K systémovému pojetí statistických metod v metodologii empirického výzkumu chování : vybrané kapitoly pro doktorandy. 1. vyd. Praha: Karolinum, 1996, 224 s. ISBN 8071841005. info
Teaching methods
lectures, work on the project thesis.
Assessment methods
Credit: presentation of the project DP, participation in education (seminars 100% compensation in another group, 1 excused absence possible)
Lectures: participation of at least 2/3 (when none of the final test)
Examination: evaluation of DP project work, written test (cloister, 30 issues for successfully managing 21b)
Language of instruction
Czech
Further Comments
Study Materials
The course is taught each semester.
The course is also listed under the following terms Spring 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Spring 2019, Autumn 2019.
  • Enrolment Statistics (Autumn 2018, recent)
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