Research Methods - PKIN703

• Title: Research Methods
• Guaranteed by: Kinantropologie (51-400100)
• Faculty: Faculty of Physical Education and Sport
• Actual: from 2021
• Semester: summer
• Points: 0
• E-Credits: 3
• Examination process: summer s.:
• Hours per week, examination: summer s.:0/0, C [HS]
• Extent per academic year: 22 [hours]
• Capacity: unknown / unknown (unknown)
• 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
• Guarantor: doc. PhDr. Martin Musálek, Ph.D.

Annotation

Last update: doc. PhDr. Martin Musálek, Ph.D. (26.10.2019)

The aim of this course to present basic milestones of Quantitative methodology which enable students to build up research design for their master thesis with quantitative character. Students will work on methods from quantitative research considering sampling, selection of dependent and independent variables, logistic process of data collection with avoiding biasing data and data analysis procedure. Students will also practically meet the most frequently used statistical approaches from inference statistic.

Literature

Last update: doc. PhDr. Martin Musálek, Ph.D. (26.10.2019)

ROCHIM, W. M. K., DONNELLY, J. P. The Research Methods Knowledge Base. Atomic Dog Publishing, Cincinnati, OH., 2006. ISBN-13: 978-1592602919.

KERLINGER F. N., & LEE H. B. Foundations of behavioral research 4th ed. Holt, NY, 2000. ISBN-10: 0155078976

THOMAS, J. R., NELSON, J. K., & SILVERMAN, S. J. Research methods in physical activity. Human kinetics, 2005. ISBN-10: 0-7360-8939-X

MUSÁLEK, M. (2014). Development of test batteries for diagnostics of motor laterality manifestation - link between cerebellar dominance and hand performance. Praha: Karolinum. 251 s. ISBN 978-80-246-2285-9

ŠTOCHL, J. & MUSÁLEK, M. A practical guide to pilot standardization of tests. Acta Universitatis Carolinae, 2009, 45, 2, 5-15.

Requirements to the exam

Last update: doc. PhDr. Martin Musálek, Ph.D. (26.10.2019)

Oral exam

Syllabus

Last update: doc. PhDr. Martin Musálek, Ph.D. (26.10.2019)

Topics for lectures:

Basic statistic terminology descriptive and inductive statistics

Test Theory - ClassicL test theory; measurement, variables, scales

Properties of normally distributed frequencies (research sample, sample size, types of sampling and its implications for interpretation of results

Relations and correlation of collected data

Test properties: validity, reliability, difficulty, homogeneity etc….

Testing of statistical hypothesis T tests and Analysis of Variance

Regression: linear regression and multiply regression