METODE ZA ANALIZU PODATAKA U KINEZIOLOGIJI

Learning Outcomes: Upon the completion of this course, the student will show the ability to: 1. Recognise theoretical propositions, standard methods and tools for data analysis that are applied in research in sport and physical education. 2. Analyse the testing of normality distribution, assessment of the normality distribution, assessment of the reliability interval and population parameters, independent and dependent T-test. 3. Use multivariate statistical methods: Factor analysis, Taxonomic analysis, Regression analysis, Canonical correlation analysis, ANOVA/MANOVA; ANKOVA/MANKOVA, analysis of the main components and cluster analysis. 4. Interpret data analysis and research results. 5. Independently create and solve research problems in sport and physical education. 6. Select statistical methods and approaches, their valid realisation and interpretation.