Multivariate Statistics and Modelling in Psychology II (VPUPK_332)
About Study Course
Objective
To deepen understanding of the statistical methods used for data analysis in psychological research and to improve skills for their application in the processing and analysis of research results by developing the ability to independently decide on the use of factor analysis, regression analysis, mediation and moderation analysis to test the proposed hypotheses or to answer research questions, as well as the ability to report and interpret the results obtained.
Prerequisites
Master's level experience in research, knowledge of statistical data processing methods. Multivariate statistics and modelling in psychology I.
Learning outcomes
After completing the course, the student will be able to use the correct terminology of mathematical statistics; explain the differences between various univariate and multivariate statistical methods; describe statistical modeling.
Will be able to select scientific studies carried out in a quantitative strategy, explain the results reflected in the publication, taking into account the limitations of the research design; technically manage the execution of various statistical methods; analyze statistical indicators; correctly describe the obtained results.
The student will be able to analyze the results of published research; use appropriate quantitative data processing methods to solve the tasks formulated in the study; analyze the obtained results of data processing and formulate correct conclusions, create a research scheme in the quantitative strategy and reasonedly discuss the risks and threats of the research, as well as offer options for mitigating them.
Study course planning
| Study programme | Study semester | Program level | Study course category | Lecturers | Schedule |
|---|---|---|---|---|---|
| Health Care (subprogramme Psychology), DVApseng | 4 | Doctoral | Limited choice | ||
| Health Care (subprogramme Psychology), DVAps | 4 | Doctoral | Limited choice | Viktorija Perepjolkina |
