Course: Statistics for doctoral students

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Course title Statistics for doctoral students
Course code DSPT/2SD
Organizational form of instruction no contact
Level of course Doctoral
Year of study 1
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Sigmundová Dagmar, doc. Mgr. Ph.D.
Course content
unspecified

Learning activities and teaching methods
unspecified
Learning outcomes
The course focuses on selected statistical analysis techniques such as: analysis of nominal data using adjusted residual analysis and Chi-square, use of t-test, ANOVA and non-parametric tests, correlation analysis and mastering linear and logistic regression. The student should be able to correctly prepare data for the chosen analysis (coding of dependent and independent variables), apply the presented statistical methods in IBM SPSS or STATISTICA and interpret the results of these analyses.

Prerequisites
unspecified

Assessment methods and criteria
unspecified
Recommended literature
  • Atkinson, G., & Nevill, A. M. (1998). Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine.. Sports Medicine.
  • Harris, M. B. (1998). Basic statistics for behavioral science research (2nd ed.).. Allyn and Bacon.
  • Hendl, J. (2004). Přehled statistických metod zpracování dat: analýza a metaanalýza dat. Praha: Portál.
  • Chráska, M. (2007). Metody pedagogického výzkumu. Praha: Grada Publishing.
  • Meloun M. & Militký J. (2002). Kompendium statistického zpracování dat.. Academia, Praha.
  • O´Donoghue, P. (2014). Statistics for sport and exercise studies: An introduction.. Routledge.
  • Řehák, J. , Brom, O. (2015). Praktická analýza dat. Brno: Computer Press.
  • Řeháková, B. (2008). Kontrasty v logistické regresi.. Sociologický časopis.
  • Vittinghoff, E., Glidden, D. V., Shiboski, S. C., & McCulloch, C. E. (2007). Regression methods in biostatistics: Linear, Logistic, Survival and Repeated Measures Models.. Springer.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Physical Culture Study plan (Version): - (2022) Category: Physical education and sport 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Physical Culture Study plan (Version): - (2022) Category: Physical education and sport 1 Recommended year of study:1, Recommended semester: Winter