np4001 Methodology

Faculty of Sports Studies
autumn 2024
Extent and Intensity
1/2/0. 6 credit(s). Type of Completion: zk (examination).
In-person direct teaching
Teacher(s)
doc. RNDr. Jiří Zháněl, Dr. (lecturer)
Mgr. Michal Bozděch, Ph.D. (seminar tutor)
Guaranteed by
doc. RNDr. Jiří Zháněl, Dr.
Department of Sport Performance and Exercise Testing – Faculty of Sports Studies
Contact Person: doc. RNDr. Jiří Zháněl, Dr.
Supplier department: Department of Sport Performance and Exercise Testing – Faculty of Sports Studies
Timetable
Tue 14:00–14:50 E34/207 – seminární místnost, except Tue 17. 9.
  • Timetable of Seminar Groups:
np4001/01: Tue 15:00–16:40 E34/207 – seminární místnost, except Tue 17. 9., J. Zháněl
Prerequisites
BOZP_OK(bozp_po_stud) && BOZP_OK(bozp_po_stud_fsps)
Knowledge of the basic concepts of science methodology (quantitative and qualitative research, structure and types of research) and descriptive statistics (measuring scales, position levels, variability, dependence). Knowledge of their application in research data analysis.
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
Course objectives
The aim of the subject is to acquire a set of knowledge and skills leading to the successful elaboration of the research project and subsequently the final (master's) work in the context of relevant methodological-statistical procedures.
Learning outcomes
After completing the subject, students are able to: - to define the basic concepts of science methodology, quantitative and qualitative research; name the research problem and choose a suitable type of research; cite relevant knowledge of the studied literature; explain the objective objective, formulate research questions/hypotheses; describe the research file and the method of selection; characterize the structure of scientific work; use methodological knowledge in the creation of a research project; - define the basic concepts of measurement theory, methods of descriptive and inference statistics; analyze research data by descriptive statistics methods; calculate position, variability and dependence rates; test research hypotheses by inference statistics methods; to formulate research conclusions; summarize the content of research work in the abstract.
Syllabus
  • Methodology: • 1 Introduction to science methodology • 2 Quantitative research • 2.1 Variants (types, methods) Research • 2.2 Research problem, research objective, research question, hypotheses • 2.3. Methodology (research ensemble, methods, design, etc.) • 3 qualitative research • 3.1 Basic characteristics of design of quality research plan • 3.2 Qualitative study project • Statistics: • 4. Descriptive statistics • 4.1 data sorting, processing and graphical representation • 4.2 Masters positions • 4.3 Variability rates • 4.4 Dependence rates • 5. Inferential statistics • 5.1 Statistical hypotheses testing • 5.1.1 tests for independent files • 5.1.2 Tests for dependent files • 5.1.3 tests for nominal, ordinal, respectively. metric variable
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
    recommended literature
  • CHRÁSKA, Miroslav. Metody pedagogického výzkumu : základy kvantitativního výzkumu. 2., aktualizované vydání. Praha: Grada, 2016, 254 stran. ISBN 9788024753263. URL info
  • 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
  • FERJENČÍK, Ján. Úvod do metodologie psychologického výzkumu :jak zkoumat lidskou duši. Translated by Petr Bakalář. Vyd. 1. Praha: Portál, 2000, 255 s. ISBN 8071783676. 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
Lecture, seminar, theoretical preparation, work on the project of diploma thesis, statistical data analysis.
Assessment methods
Credit: Active participation in teaching in seminars (1 x apologized absence), presentation and submission of the project of the final thesis. Lectures: participation in teaching, fulfillment of continuous check tests in teaching: Test 1 (after completion of the Methodology block), test 2 (after the block of statistics). When the tests are not fulfilled, the credit test is written at the end of the semester. The exam consists of 1) oral part: presentation of DP work (A-F) project, 2) Written parts: Online test (30 questions, fulfilled when gaining 22 points and more).
Náhradní absolvování
The subject is announced in the spring and autumn semester, so it can be completed in a substitute semester.
Language of instruction
Czech
Further Comments
Study Materials
The course is also listed under the following terms Autumn 2019, Spring 2020, autumn 2020, spring 2021, autumn 2021, spring 2022, autumn 2022, spring 2023, autumn 2023, spring 2024, spring 2025.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fsps/autumn2024/np4001