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Regression Analysis
Abbreviation: PSIDO200Load: 30(L) + 0(S) + 0(E) + 15(P) + 0(PE) + 0(ME) + 0(EE) + 0(FLE) + 0(PEE) + 0(FE) + 0(CP)
Lecturers in charge: izv. prof. dr. sc. Toni Babarović
Course description: Understanding of the theoretical basis of the regression analysis; analysing and evaluating research papers in which the method was applied; creating research designs where regression analysis should be used as an adequate method of analysing the collected data; independent practical application of regression analysis in psychological research using the SPSS software package
Lecture languages: - - -
Compulsory literature:
1. Howell, D. C. (2006). Statistical methods for psychology (6th ed). New York: Thomson learning.;
2. Harris, R. J. (1975) A Primer of Multivariate Analysis, Academic Press, New York.;
3. Cohen, J., Cohen, P., West, S. G., Aiken, L. S. (2003). Applied multiple regression_correlation analysis for the behavioral sciences (3rd ed.) Mahwah, NJ Erlbaum.;
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 2019-09-13