Opcije pristupačnosti Pristupačnost

Regression Analysis

Regression Analysis

Code: 53873
ECTS: 4.0
Lecturers in charge: nasl. prof. dr. sc. Toni Babarović
Lecturers: v. pred. Iva Takšić - Practicum
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 15
* Load is given in academic hour (1 academic hour = 45 minutes)
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
Learning outcomes:
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.;, , , .
1. semester
Mandatory course - Regular studij - Psychology
Consultations schedule:

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