Learning Outcomes
The objectives of the course are: a) Familiarization with software for statistical analysis, analyzing data, collecting and organizing data, b) developing critical thinking via presentations, discussions and assignments, and c) learning the basic statistical analysis (theory and practice) that can be used in the graduate’s student thesis and research
Course Content (Syllabus)
- Introduction to statistics, Introduction in research methods
- Basic statistical measures
- Measures of central tendency, Normally distributed data, Introduction to SPSS
- Hypothesis testing, Types of statistical errors, Statistical power, Significance levels - Critical value, Normal distributions, SPSS basics
- Parametric tests/Comparing two groups: Independent samples tests
- Parametric tests/Comparing two groups: Dependent samples tests
– Parametric tests/Comparing > 2 groups: One- WAY ANOVA for independent groups
– Parametric tests/Comparing > 2 groups: One- WAY ANOVA for dependent groups
- Two-WAY ANOVAs
- Non-parametric tests/Comparing two groups: Dependent and independent groups
- Correlations,
- Regression analysis,
- Social sciences and statistical approaches