Multivariate Statistical Methods
Code: 53913
ECTS: 6.0
Lecturers in charge: doc. dr. sc. Ivan Balabanić
dr. sc. Luka Šikić
Take exam: Studomat
English level:

1,0,0

All teaching activities will be held in Croatian. However, foreign students in mixed groups will have the opportunity to attend additional office hours with the lecturer and teaching assistants in English to help master the course materials. Additionally, the lecturer will refer foreign students to the corresponding literature in English, as well as give them the possibility of taking the associated exams in English.
Load:

1. komponenta

Lecture typeTotal
Lectures 30
Practicum 45
* Load is given in academic hour (1 academic hour = 45 minutes)
Description:
The aim of the course is to acquire knowledge and skills to use the major multivariate statistical analysis of the results at the level of understanding, planning and implementation of research analysis. Students will be acquainted with all fundamental multivariate statistical knowledge and techniques which are being used in sociological practice with emphasis on the specifics, advantages and limitations of particular methods of multivariate data analysis, develop motivation to work in sociological research, as well as knowledge of basic statistical methods and techniques and the motivation for their use in social research. The basic idea of the multivariate statistical analysis to simultaneously observe several interrelated variables, wherein each variable initially, as important.
Students have been developing abstract way of thinking and adopting statistical terminology. Understanding of statistical analysis procedures, which are subject to lecturing, are being verified in written forms, through tests and numeric exercises. Students are expected to demonstrate clear and logically consistent interpretation of calculated results
Literature:
  1. Cohen, J.; Cohen, P.; Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences; Lawrence Erlbaum, Hillsdale, New Jersey (2002)
  2. Fulgosi, A.; Faktorska analiza; Školska knjiga, Zagreb (1988)
  3. Hair, J. F, Anderson, R. E., Tatham, R. L.; Black, W. C.; Multivariate Data Analysis, Prentice Hall, New Jersey; Prentice Hall, New Jersey (2005)
  4. Huberty, C. J., Olejnik, S.; Applied MANOVA and Discriminant Analysis; New Jersey: Wiley (2006)
  5. Rencher, A. C.; Christensen, W. F.; Methods of Multivariate Analysis; New Jersey: Wiley (2012)
1. semester Not active
SOC-dipl (4469): Izborni kolegiji - Mandatory smjer - Teaching Stream

2. semester
Mandatory course - Mandatory smjer - Science Stream
SOC-dipl (4469): Izborni kolegiji - Mandatory smjer - Teaching Stream

3. semester Not active
SOC-dipl (4469): Izborni kolegiji - Mandatory smjer - Teaching Stream
Consultations schedule:
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