Advanced statistics in practice
Informacje ogólne
Kod przedmiotu: | WFz.DCogNeS-01 | Kod Erasmus / ISCED: | (brak danych) / (brak danych) |
Nazwa przedmiotu: | Advanced statistics in practice | ||
Jednostka: | Instytut Psychologii | ||
Grupy: | |||
Punkty ECTS i inne: |
(brak)
![]() ![]() |
||
Język prowadzenia: | angielski | ||
Skrócony opis: |
- GLM (ANOVA, multiple regression) - logistic regression - mediation and moderation - confirmatory factor analysis - path analysis and structural equation modeling - power analysis - basics of Bayesian approach |
||
Efekty uczenia się: |
The purpose of this course is to give the elements of modern methodology and statistical methods of data analysis in a relatively nonmathematical form, and to show and teach the students how to compute advanced statistics using packages SPSS (PS IMAGO), R Environment, G*Power and other. As a result of this course the students should get sufficient knowledge and skills to be able to perform analyses more sophisticated than those covered in the standard course. Knowledge: - GLM (ANOVA, multiple regression) - logistic regression - mediation and moderation - confirmatory factor analysis - path analysis and structural equation modeling - power analysis - basics of Bayesian approach Skills: - All of the above - ability to perform relevant analysis Social competences: - ability to seek additional information as regards data analysis. |
||
Metody i kryteria oceniania: |
Practical exam at the computer. 60% of correct answers. |
| |||||
Właścicielem praw autorskich jest Uniwersytet Jagielloński w Krakowie.