Multivariate Statistics: Methods for Classifying Variables and Cases
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Course code
IFI8005.DT
old course code
IFI8005
Course title in Estonian
Mitmemõõtmeline statistika: meetodid tunnuste ja objektide grupeerimiseks
Course title in English
Multivariate Statistics: Methods for Classifying Variables and Cases
ECTS credits
4.0
Assessment form
Examination
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
To create opportunities for acquiring theoretical knowledge and practical skills for understanding some most popular multivariate statistical models for analysing differences and relationships as well as for data reduction used in social sciences. Applying these techniques with the aid of statistical software SPSS.
The course is specially set up to support developing ones ability to interpret the results of statistical techniques.
Brief description of the course
Cluster analysis, factor analysis, discriminant analysis, multidimensional scaling.
Course consists of seminar type lectures and practical classes where students are expected to be actively involved.
Learning outcomes in the course
Upon completing the course the student:
- understands the basic underlying assumptions of multivariate statistics;
- has got experience in setting up questions about data which lead to statistical analysis with the aim of reducing data;
- 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 composing multivariate models introduced in the course.
Teacher
prof Katrin Niglas
Additional information
Kontakttundides osalemine on väga soovitav, kuid lubatud on ka täiesti iseseisev aine omandamine eeldusel, et õppija osaleb sissejuhatavas seminaris, kus tutvustatakse aine sooritamise nõudeid. Seega, hindamisele pääsevad kõik ainele registreeritud tudengid vaatamata sellele, kas ja kui palju on nad õppetöö kontakttundides osalenud.
NB! Hindamiseks peab esitama iseseisva töö ja sooritama testi. Nii iseseisvat tööd kui testi võib esitada/sooritada kuni 2016.aasta kevadsemestri vahenädalal toimuva järeleksamini. Kui peale seda tähtaega pole positiivset sooritust, siis tuleb ainet uuesti kuulata (korduskuulamine on tasuta).
Study programmes containing that course
Information Society Technologies (IFITD/23.DT)
Demography (DIDD/23.YK)
Educational Sciences (KAKTD/23.HR)
Health Behaviour and Wellbeing (TSTD/23.LT)
Sociology (RASLD/23.YK)
Psychology (PSPSD/23.LT)
Demography (DIDD/22.YK)
Psychology (PSPSD/22.LT)
Health Behaviour and Wellbeing (TSTD/22.LT)
Information Society Technologies (IFITD/22.DT)
Educational Sciences (KAKTD/22.HR)
Sociology (RASLD/22.YK)
Information Society Technologies (IFITD/21.DT)
Educational Sciences (KAKTD/21.HR)
Sociology (RASLD/21.YK)
Demography (DIDD/21.YK)
Psychology (PSPSD/21.LT)
Health Behaviour and Wellbeing (TSTD/21.LT)
Educational Sciences (KAKTD/20.HR)
Ecology (MLECD/20.LT)
Information Society Technologies (IFITD/20.DT)
Demography (DIDD/20.YK)
Psychology (PSPSD/20.LT)
Sociology (RASLD/20.YK)
Health Behaviour and Wellbeing (TSTD/20.LT)
Psychology (PSPSD/19.LT)
Sociology (RASLD/19.YK)
Demography (DIDD/19.YK)
Information Society Technologies (IFITD/19.DT)
Ecology (MLECD/19.LT)
Educational Sciences (KAKTD/19.HR)
Health Behaviour and Wellbeing (TSTD/19.LT)
Psychology (PSPSD/18.LT)
Educational Sciences (KAKTD/18.HR)
Sociology (RASLD/18.YK)
Ecology (MLECD/18.LT)
Demography (DIDD/18.YK)
Health Behaviour and Wellbeing (TSTD/18.LT)
Information Society Technologies (IFITD/18.DT)
Psychology (PSPSD/17.LT)
Educational Sciences (KAKTD/17.HR)
Information Society Technologies (IFITD/17.DT)
Ecology (MLECD/17.LT)
Demography (DIDD/17.YK)
Sociology (RASLD/17.YK)
Health Behaviour and Wellbeing (TSTD/17.LT)
Psychology (PSPSD/16.LT)
Ecology (MLECD/16.LT)
Demography (DIDD/16.YK)
Information Society Technologies (IFITD/16.DT)
Educational Sciences (KAKTD/16.HR)
Sociology (RASLD/16.YK)
Health Behaviour and Wellbeing (TSTD/16.LT)
Ecology (MLECD/15.LT)
Psychology (PSPSD/15.LT)
Educational Sciences (KAKTD/15.HR)
Information Society Technologies (IFITD/15.DT)
Sociology (RASLD/15.YK)
Demography (DIDD/15.YK)
Information Society Technologies (IFITD/14.DT)
Sociology (RASLD/14.YK)
Ecology (MLECD/14.LT)
Psychology (PSPSD/14.LT)
Educational Sciences (KAKTD/14.HR)
Demography (DIDD/14.YK)
Information Society Technologies (IFITD/13.DT)
Educational Sciences (KAKTD/13.HR)
Ecology (MLECD/13.LT)
Psychology (PSPSD/13.LT)
Sociology (RASLD/13.YK)
Demography (DIDD/13.YK)
Demography (DIDD/12.YK)
Information Society Technologies (IFITD/12.DT)
Educational Sciences (KAKTD/12.HR)
Social Work (STSTD/12.YK)
Sociology (RASLD/12.YK)
Psychology (PSPSD/12.LT)
Ecology (MLECD/12.LT)
Psychology (PSPSD/11.LT)
Educational Sciences (KAKTD/11.HR)
Ecology (MLECD/11.LT)
Information Society Technologies (IFITD/11.DT)
Educational Sciences (KAKTD/10.HR)
Ecology (MLECD/10.LT)
Psychology (PSPSD/10.LT)
Information Society Technologies (IFITD/10.DT)
Educational Sciences (KAKTD/09.HR)
Psychology (PSPSM/10N.LT)
Psychology (PSPSM/07.LT)
Psychology (PSPSM/10-2.LT)
Psychology (PSPSM/10.LT)
Psychology (PSPSM/10-3.LT)
Psychology (PSPSM/08.LT)
Psychology (PSPSM/06.LT)
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