np4001 Methodology

Faculty of Sports Studies
Spring 2020
Extent and Intensity
1/2/0. 6 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. (seminar tutor)
doc. RNDr. Jiří Zháněl, Dr. (seminar tutor)
Guaranteed by
doc. RNDr. Jiří Zháněl, Dr.
Department of Kinesiology – Faculty of Sports Studies
Contact Person: doc. RNDr. Jiří Zháněl, Dr.
Supplier department: Department of Kinesiology – Faculty of Sports Studies
Timetable
Tue 12:00–12:50 B11/206
  • Timetable of Seminar Groups:
np4001/01: Tue 12:50–14:30 B11/206, J. Zháněl
np4001/02: Tue 10:20–12:00 B11/206, J. Zháněl
np4001/03: Tue 14:30–16:10 B11/206, J. Zháněl
Prerequisites
The subject Methodology 1 (bp4001) is required. Knowledge of basic concepts of science methodology (quantitative and qualitative research, structure and types of research) and descriptive statistics (measuring scales, positioning, variability, dependencies). Knowledge of their application when analyzing 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 9 fields of study the course is directly associated with, display
Course objectives
The aim of the np4001 is to acquire a set of knowledge and skills leading to the successful development of a research project and then final (master's) work in the context of relevant methodological procedures.
Learning outcomes
Student is able after graduation: Define basic concepts of science methodology, quantitative and qualitative research; name the research problem and identify the types of research; to cite the relevant knowledge from the studied 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 in the development 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; to test research hypotheses using inferential statistics; formulate research findings; summarize the content of the research work in the abstract.
Syllabus
  • METHODOLOGY 1 INTRODUCTION TO THE SCIENTIFIC METHODOLOGY 2 QUANTITATIVE RESEARCH 2.1 Variants (types, methods) of research 2.2 Research problem, research goal, research question, hypothesis 2.3. Methodology (research set, methods, design, etc.) 3 QUALITATIVE RESEARCH 3.1 Basic characteristics of the qualitative research plan proposal. 3.2 Project of qualitative study STATISTICS 4. DESKRIPTIVE STATISTICS 4.1 Statistical data sorting, processing and graphing representation 4.2 Positioning measures 4.3 Variations of variability 4.4 Dependence rates 5. INFECTION STATISTICS 5.1 Testing statistical hypotheses 5.1.1 Tests for independent files 5.1.2 Tests for dependent files 5.1.3 Tests for nominal, ordinal, metric variables
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. Kvalitativní výzkum : základní teorie, metody a aplikace. 3. vyd. Praha: Portál, 2012, 407 s. ISBN 9788026202196. 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
  • 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
Lectures, seminars, theoretical preparation, work on diploma thesis project, statistical analysis of data.
Assessment methods
Seminar (credit): presentation of the DP project (evaluation A-E), attendance at the seminar (seminars min. Np 5/6, nk 2/3, 1x substitution in another group possible). Lectures: Participation of at least 2/3 (when the credit test is not met). Exam: 1st evaluation of DP project (A-F), 2nd written test (clause, 30 questions for successful mastering 22b), final mark = median assessment of 1st and 2nd grade.
Language of instruction
Czech
Further Comments
Study Materials
The course is also listed under the following terms Autumn 2019, autumn 2020, spring 2021, autumn 2021, spring 2022, autumn 2022, spring 2023, autumn 2023, spring 2024, autumn 2024, spring 2025.
  • Enrolment Statistics (Spring 2020, recent)
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