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Lectures Science, difference between everyday experience and scientific
research (as follows SR), differences between professional work and SR,
categories of SR. Legal and ethical aspects of SR. Research design, types of
studies, and stages of SR. Quantitative and qualitative approaches to SR,
research methods. System of scientific and professional information, types of
written works, citations and references, critical evaluation and assessment of
publication’s trustworthiness, summarizing scientific information, writing
research reports. Fundamentals of statistics: -sample, population, hypothesis,
variables, significance, statistical inference, statistical significance,
-univariate and bivariate data analysis (e.g. frequency and relative frequency
calculation, ?measures of central tendency, the assessment of normal
distribution, Pearson and Spearman correlation coefficients, Chi-square test,
one sample t-test, t-test of independent samples, paired samples t-test, ANOVA,
Mann- Whitney U test, Kruskal-Wallis test, linear regression analysis). Basic
concepts of demography and epidemiology (statistical terminology). Tutorial
Practical work with statistical data analysis tools (presumably with SPSS) on
practical examples from physiotherapy and health care. Special attention is put
on the aforementioned data analysis and correct presentation of results.