Methodology of Bachelor Thesis - PKIN269C

• Title: Methodology of Bachelor Thesis
• Guaranteed by: Department of Social Sciences Foundation in Kinanthropology (51-300000)
• Faculty: Faculty of Physical Education and Sport
• Actual: from 2022
• Semester: winter
• Points: 0
• E-Credits: 3
• Examination process: winter s.:
• Hours per week, examination: winter s.:2/0, C [HT]
• Capacity: unlimited / unknown (unknown)
• Min. number of students: unlimited
• 4EU+: no
• Virtual mobility / capacity: no
• State of the course: taught
• Language: English
• Teaching methods: full-time
• Teaching methods: full-time
• Note: course can be enrolled in outside the study plan; enabled for web enrollment; priority enrollment if the course is part of the study plan
• Guarantor: Mgr. Martin Komarc, Ph.D.
• Teacher(s): Mgr. Martin Komarc, Ph.D.

Annotation

Last update: Mgr. Martin Komarc, Ph.D. (26.10.2019)

The main objective of this course is to provide students an overview of research methods used by empirical researchers in behavioral sciences including Kinanthropology (sport sciences).

Literature

Last update: Mgr. Martin Komarc, Ph.D. (26.10.2019)

THOMAS, J R., NELSON, JK., SILVERMAN, SJ. Research methods in physical activity. Human Kinetics: Champaign, 2005. ISBN:0-7360-5620-3

TROCHIM, WMK. Research methods knowledge base, Cincinnati, 2001. ISBN:0-9701385-9-8

KERLINGER, FN., LEE, HB. Foundations of behavioral research. Wadsworth Publishing: New York, 2000. ISBN-13: 978-0155078970

Requirements to the exam

Last update: Mgr. Martin Komarc, Ph.D. (26.10.2019)

Credits requirement:

written test

Syllabus

Last update: Mgr. Martin Komarc, Ph.D. (26.10.2019)

1. – 2. What is science, functions, features, theory, induction and deduction, paradigm, basic difference between quantitative and qualitative paradigm

3. – 4. Structure of research, research problem, research question, operationalization, hypothesis, research project

5, - 6. Research designs, quantitative and qualitative designs, basic difference between observational and experimental designs

7. – 8. Introduction to sampling methods, population, sample, representativeness, introduction to data gathering methods, research ethics

9. – 10. Introduction to descriptive statistics, location, variability, shape, normal distribution

11. – 12. Relationship between two variables (covariance, Pearson’s r, chi-square test]

13. – 14. Validity and reliability of measurement