Last update: Mgr. Martin Komarc, Ph.D. (04.11.2019)
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).
Last update: Mgr. Dominika Krupková (06.02.2020)
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. (04.11.2019)
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
Last update: Mgr. Dominika Krupková (06.02.2020)
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. (04.11.2019)
Credits requirement:
presentation
written test
Last update: Mgr. Dominika Krupková (06.02.2020)
Credits requirement:
presentation
written test
Syllabus -
Last update: Mgr. Martin Komarc, Ph.D. (04.11.2019)
Lectures:
1. What is science, functions, features, theory, induction and deduction
2. Structure of research, research problem, research question, operationalization, hypothesis, research project
3, Research designs, quantitative and qualitative designs, basic difference between observational and experimental designs
4. Introduction to sampling methods, population, sample, representativeness, introduction to data gathering methods, research ethics
5. Introduction to descriptive statistics, location, variability, shape, normal distribution
6. Relationship between two variables (covariance, Pearson’s r, chi-square test]
7. Validity and reliability of measurement
Seminars:
1. – 7. Students will prepare a presentation about methodological aspects of a selected research paper.
This will require:
download research paper from scientific databases (Web of Science, EBSCO, Scopus)
upload the paper to Moodle app and answer the prepared questions
prepare a presentation about methodological aspects of a paper
briefly introduce: aim of the article, research problem, research questions, and hypotheses
focus on methodological issues such as: research design, sampling method, data gathering, measurement, data analysis, validity, reliability, …?
brief summary of the results (how authors presented the results?, an example of a table, graph, or so)
Last update: Mgr. Dominika Krupková (06.02.2020)
Lectures:
1. What is science, functions, features, theory, induction and deduction
2. Structure of research, research problem, research question, operationalization, hypothesis, research project
3, Research designs, quantitative and qualitative designs, basic difference between observational and experimental designs
4. Introduction to sampling methods, population, sample, representativeness, introduction to data gathering methods, research ethics
5. Introduction to descriptive statistics, location, variability, shape, normal distribution
6. Relationship between two variables (covariance, Pearson’s r, chi-square test]
7. Validity and reliability of measurement
Seminars:
1. - 7. Students will prepare a presentation about methodological aspects of a selected research paper.
This will require:
download research paper from scientific databases (Web of Science, EBSCO, Scopus)
upload the paper to Moodle app and answer the prepared questions
prepare a presentation about methodological aspects of a paper
briefly introduce: aim of the article, research problem, research questions, and hypotheses
focus on methodological issues such as: research design, sampling method, data gathering, measurement, data analysis, validity, reliability, …?
brief summary of the results (how authors presented the results?, an example of a table, graph, or so)
