Advanced Regression
Informacje ogólne
| Kod przedmiotu: | 2500-PL-PS-SP15-10 |
| Kod Erasmus / ISCED: |
14.4
|
| Nazwa przedmiotu: | Advanced Regression |
| Jednostka: | Wydział Psychologii |
| Grupy: | |
| Punkty ECTS i inne: |
4.00
|
| Język prowadzenia: | angielski |
| Założenia (opisowo): | Kurs dla specjalizacji 315 |
| Skrócony opis: |
(tylko po angielsku) The course is intended for students that want to learn ordinary least squares (OLS)analysis in order to apply it in their own research and/or to evaluate the work of others. The course will consist of 20h of theoretical lecture and 10h of practical workshop. The focus of LECTURE part will be on reviewing logic of assumptions, possibilities and limitations of OLS regression analysis. The focus of WORKSHOP part will be on practical issues such as selecting the appropriate analysis, preparing data for analysis, interpreting results, and presenting results of a complex nature. The primary goal of the course is to develop an applied and intuitive understanding of the covered statistical material. |
| Efekty uczenia się: |
(tylko po angielsku) Students Will learn the basics assumptions and logic behind OLS regression analysis Will develop skills with a range of practical procedures in order to diagnose and prepare data, build model and eventually run OLS regression analysis. get acquainted with the statistical computing system SPSS (R-studio) and with its use for manipulation and analysis of statistical data. NOTE: primary examples will be done in SPSS, however I’ll introduce some examples in R. You are allowed (and encouraged) to do all your stat homework in R-studio |
Zajęcia w cyklu "Semestr letni 2023/24" (zakończony)
| Okres: | 2024-02-19 - 2024-06-16 |
 
PN WT ŚR CZ CW
PT |
| Typ zajęć: |
Ćwiczenia, 30 godzin
|
|
| Koordynatorzy: | (brak danych) | |
| Prowadzący grup: | Maciej Bieńkowski, Mikołaj Winiewski | |
| Lista studentów: | (nie masz dostępu) | |
| Zaliczenie: |
Przedmiot -
Zaliczenie na ocenę
Ćwiczenia - Zaliczenie na ocenę |
|
| Pełny opis: |
(tylko po angielsku) The course is intended for students that want to learn ordinary least squares (OLS)analysis in order to apply it in their own research and/or to evaluate the work of others. The course will consist of 20h of theoretical lecture and 10h of practical workshop. The focus of LECTURE part will be on reviewing logic of assumptions, possibilities and limitations of OLS regression analysis. The focus of WORKSHOP part will be on practical issues such as selecting the appropriate analysis, preparing data for analysis, interpreting results, and presenting results of a complex nature. The primary goal of the course is to develop an applied and intuitive understanding of the covered statistical material. Covered material will deal mostly with Multiple Regression analysis including: Model specification and interpretation Diagnostics (tests and plots) Analysis of residuals and outliers Multicollinearity Autocorrelation Hierarchical models Dummy (dichotomous) independent variables Dummy coding of nominal variables Inducing linearity by nonlinear transformations of independent variables Multiplicative Interaction terms Mediation analysis Specific topics and amount of covered material will depend in part on the interests of the students and class progress. |
|
| Literatura: |
(tylko po angielsku) Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2013). Applied multiple regression/correlation analysis for the behavioral sciences. Routledge |
|
Zajęcia w cyklu "Semestr letni 2024/25" (w trakcie)
| Okres: | 2025-02-17 - 2025-06-08 |
PN WT ŚR CZ CW
PT |
| Typ zajęć: |
Ćwiczenia, 30 godzin
|
|
| Koordynatorzy: | Maciej Bieńkowski, Mikołaj Winiewski | |
| Prowadzący grup: | Maciej Bieńkowski, Mikołaj Winiewski | |
| Lista studentów: | (nie masz dostępu) | |
| Zaliczenie: |
Przedmiot -
Zaliczenie na ocenę
Ćwiczenia - Zaliczenie na ocenę |
|
| Pełny opis: |
(tylko po angielsku) The course is intended for students that want to learn ordinary least squares (OLS)analysis in order to apply it in their own research and/or to evaluate the work of others. The course will consist of 20h of theoretical lecture and 10h of practical workshop. The focus of LECTURE part will be on reviewing logic of assumptions, possibilities and limitations of OLS regression analysis. The focus of WORKSHOP part will be on practical issues such as selecting the appropriate analysis, preparing data for analysis, interpreting results, and presenting results of a complex nature. The primary goal of the course is to develop an applied and intuitive understanding of the covered statistical material. Covered material will deal mostly with Multiple Regression analysis including: Model specification and interpretation Diagnostics (tests and plots) Analysis of residuals and outliers Multicollinearity Autocorrelation Hierarchical models Dummy (dichotomous) independent variables Dummy coding of nominal variables Inducing linearity by nonlinear transformations of independent variables Multiplicative Interaction terms Mediation analysis Specific topics and amount of covered material will depend in part on the interests of the students and class progress. |
|
| Literatura: |
(tylko po angielsku) Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2013). Applied multiple regression/correlation analysis for the behavioral sciences. Routledge |
|
Właścicielem praw autorskich jest Uniwersytet Warszawski.
