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About Study Course

Credit points / ECTS:2 / 3
Course supervisor:Jeļena Ļubenko
Study type:Full time
Course level:Doctor
Target audience:Psychology
Language:English, Latvian
Branch of science:Psychology

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 appropriate statistical methods for checking the hypotheses put forward or for clarification of research questions.

Prerequisites

Master's level experience in research, knowledge of statistical data processing methods.

Learning outcomes

Knowledge

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.

Skills

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.

Competence

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 data processing results and formulate correct conclusions, analyze the psychometric parameters of the research instruments, will be able to choose the appropriate instruments for the research purpose of the doctoral thesis.

Study course planning

Planning period:Year 2024, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Health Care (subprogramme Psychology), DVAps3DoctoralLimited choiceViktorija Perepjolkina
Health Care (subprogramme Psychology), DVApseng3DoctoralLimited choiceViktorija Perepjolkina