Content
- Lectures: 15 hours
- Exercises 15 hours
- Independent work: 60 hours
Subject carrier
Description
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.
