1. Classification of research types. Structure of research methods.
2. Creation of a selection sample. Classification of selection techniques. Calculation of sample size.
3. Hypothesis testing. The essence of hypothesis testing, null hypothesis, assumptions. Chi-square test.
4. Hypothesis testing. T-tests of means. ANOVA.
5. Correlation analysis. Correlation coefficients. Limitations of examining correlation.
6. Regression analysis. Linear regression. Logistic regression. Probability and Chance.
7. Factor analysis. Exploratory factor analysis. Factor rotation. Factor scores.
8. Cluster analysis. Distance measurement methods. Methods of cluster analysis. Cluster profiling.
9. Discriminant analysis. Discriminant analysis model. Classification results.
10. Multi-criteria methods. Multi-criteria evaluation of variants. AHP method, Saaty method.
11. Qualitative research I. Group interview. In-depth interview.
12. Qualitative research II. Projective techniques. Ethnography. Netnography. Mystery shopping.
13. Introduction to academic writing.
2. Creation of a selection sample. Classification of selection techniques. Calculation of sample size.
3. Hypothesis testing. The essence of hypothesis testing, null hypothesis, assumptions. Chi-square test.
4. Hypothesis testing. T-tests of means. ANOVA.
5. Correlation analysis. Correlation coefficients. Limitations of examining correlation.
6. Regression analysis. Linear regression. Logistic regression. Probability and Chance.
7. Factor analysis. Exploratory factor analysis. Factor rotation. Factor scores.
8. Cluster analysis. Distance measurement methods. Methods of cluster analysis. Cluster profiling.
9. Discriminant analysis. Discriminant analysis model. Classification results.
10. Multi-criteria methods. Multi-criteria evaluation of variants. AHP method, Saaty method.
11. Qualitative research I. Group interview. In-depth interview.
12. Qualitative research II. Projective techniques. Ethnography. Netnography. Mystery shopping.
13. Introduction to academic writing.