Multivariate Statistics
Course code
IFI7005.DT
old course code
IFI7005
Course title in Estonian
Mitmemõõtmeline statistika
Course title in English
Multivariate Statistics
ECTS credits
3.0
Assessment form
graded assessment
lecturer of 2023/2024 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
lecturer of 2024/2025 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Course aims
Core subject. The objective of the course is to give an overview of some of the most popular multivariate statistical techniques used in the social sciences, to present their theoretical basis and the preconditions which have to be met for their successful application. The course is also designed to give experience in applying these techniques using special software SPSS and interpreting the results of the analysis.
Brief description of the course
An overview of the use of some most popular techniques of multivariate statistics like analysis of variance (ANOVA), discriminant analysis, regression analysis, cluster analysis, factor analysis. Course consists of seminar type lectures and practical classes where students are expected to be actively involved. In addition every student must submit home assignment, where (s)he demonstrates the command of all statistical data analysis techniques presented in the course.
Learning outcomes in the course
Upon completing the course the student:
• Has got experience in setting up questions about data which lead to multivariate statistical analysis
• Understands statistical concepts introduced during the course, knows the prerequisites for their correct application and can interpret the results of the analysis correctly
• Can recognise different types of variables and choose appropriate statistical techniques accordingly
• Can use the SPSS software with the aid of the manual for relevant data processing and analysis
• Has got experience in setting up questions about data which lead to multivariate statistical analysis
• Understands statistical concepts introduced during the course, knows the prerequisites for their correct application and can interpret the results of the analysis correctly
• Can recognise different types of variables and choose appropriate statistical techniques accordingly
• Can use the SPSS software with the aid of the manual for relevant data processing and analysis
Teacher
prof Katrin Niglas
Prerequisite course 1