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Multivariate Statistical Methods
Abbreviation: SOCDO136Load: 30(L) + 0(S) + 0(E) + 45(P) + 0(PE) + 0(ME) + 0(EE) + 0(FLE) + 0(PEE) + 0(FE) + 0(CP)
Lecturers in charge: doc. dr. sc. Ivan Balabanić
Lecturers: dr. sc. Luka Šikić ( Practicum )
Course 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
Lecture languages: - - -
Compulsory 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)
Recommended literature: - - -
L - Lectures
FE - Field exercises
CP - Clinical practicals
S - Seminar
E - Exercises
P - Practicum
PE - Proofreading exercises
ME - Methodology exercises
EE - Experimental exercises
FLE - Practical foreign language exercises
PEE - Physical education excercises
* - Not graded
Copyright (c) 2006. Ministarstva znanosti, obrazovanja i športa. Sva prava zadržana.
Programska podrška (c) 2006. Fakultet elektrotehnike i računarstva.
Oblikovanje(c) 2006. Listopad Web Studio.
Posljednja izmjena 2020-03-30