Skip to main content

About Study Course

Department: Statistics Unit
Credit points / ECTS:2 / 3
Course supervisor:Diāna Kalniņa
Study type:Full time
Course level:Master's
Target audience:Psychology
Language:Latvian
Branch of science:Mathematics; Theory of Probability and Mathematical Statistics

Objective

To gain basic knowledge of data processing methods, to develop and use analytical statistical methods in psychological research.

Prerequisites

Bachelor's degree experience in research, appropriate Bachelor's degree knowledge in statistical methods.

Learning outcomes

Knowledge

Students use statistical terminology; explain differences between univariate and multivariate statistical methods; can name and describe univariate and multivariate statistical data processing methods that can be used in different study designs.

Skills

Students have technological knowledge in SPSS to process research data, analyse statistical estimators; correctly describe results accordingly to given hypothesis or research question.

Competence

Students can professionaly deal with different psychological research tasks using computer, they use correct data processing methods accordingly to different study designs, analyse and interpet data processing results, formulate correct conclusions about research hypothesis results (accept or reject given hypothesis).

Study course planning

Planning period:Year 2025, Spring semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Health Psychology, VPM2Master’sRequiredDiāna Kalniņa, Silva Seņkāne
Health psychology, VPMp2Master’sRequiredSilva Seņkāne, Diāna Kalniņa