Methodology of Research - PKIN653

• Title: Methodology of Research
• Guaranteed by: Kinantropologie (51-400100)
• Faculty: Faculty of Physical Education and Sport
• Actual: from 2017
• Semester: winter
• Points: 1
• E-Credits: 3
• Examination process: winter s.:
• Hours per week, examination: winter s.:1/0, MC [HT]
• Extent per academic year: 7 [hours]
• Capacity: unknown / unknown (22)
• Min. number of students: unlimited
• 4EU+: no
• Virtual mobility / capacity: no
• State of the course: not 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
• Guarantor: Mgr. Jitka Buriánková

Annotation

English

Last update: KRASILOV (01.06.2007)

An advanced seminar for students interested in the use of mathematical models.

Czech

Last update: PUCHMERTLOVA/FTVS.CUNI.CZ (25.02.2008)

Fundamental Principles of Research Methodology, understanding the research wording and theirs findings. Directions for realization the personal research in Bachelor or Diploma works and how to structure them.

Literature

Last update: PUCHMERTLOVA/FTVS.CUNI.CZ (25.02.2008)

Literature:

Obligatory:

1. Thomas, J. R., & Nelson, J. K. (2005). Research methods in physical activity (5. ed.). Champaign, IL: Human Kinetics.

2. Morrow, J. R., Jackson, A. W., Disch, J. G., & Mood, D. P. (2005). Measurement and Evaluation in Human Performance (3. ed.). Champaign, IL: Human Kinetics.

3.

Recommended:

1. Vincent, W. (2005). Statistics in Kinesiology (3. ed.). Champaign, IL: Human Kinetics.

Requirements to the exam

Last update: PUCHMERTLOVA/FTVS.CUNI.CZ (25.02.2008)

Requirements for credit:

• Active participation in seminars (80%).

• Presentment of personal project.

Syllabus

Last update: STEVOVE/FTVS.CUNI.CZ (18.05.2012)

Classwork contents:

1. Science and its purpose, relationship of philosophy and science, historic connection.

2. Method as an instrument of research, paradigm, survey of quantitative methods.

3. Experimental design, causality, practical problems and theirs solution at realization.

4. Methods of data processing obtained from experimental research.

5. Non-experimental quantitative approaches, data processing problems of these.

6. Investigations, discussion of particular student's projects.

7. Qualitative research and its classification, qualitative data processing, practical examples.

8. Structure of Bachelor, Diploma and Dissertation work. Algorithm of their creation.

9. Presentation of personal projects, discussion, feedback, credits.