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(in Polish) Third Variables: Mediation and Moderation

General data

Course ID:	2500-PL-PS-SP15-11
Erasmus code / ISCED:	14.4 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0313) Psychology The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	(unknown)
Name in Polish:	Third Variables: Mediation and Moderation
Organizational unit:	Faculty of Psychology
Course groups:
ECTS credit allocation (and other scores):	2.00 Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.
Language:	English
Prerequisites (description):	(in Polish) spec 315
Short description:	Both mediation and moderation analysis check how a third variable fit the relationship between the independent and dependent variable. While mediation analysis allows for discovering mechanisms underlying this association, moderation analysis allows for identifying boundary conditions for its occurrence. This course aims to introduce students to mediation, moderation, and moderated mediation analysis.
Learning outcomes:	Students will learn how to conduct and interpret mediation, moderation, and mediated moderation analysis. Participants will gain familiarity with the PROCESS macro (Hayes, 2022) applied both in SPSS and R.

Classes in period "Winter semester 2023/24" (past)

Time span:	2023-10-01 - 2024-01-28	Selected timetable range: weekly course term Navigate to timetable MO TU W TH CW FR
Type of class:	Classes, 30 hours more information
Coordinators:	(unknown)
Group instructors:	Paulina Górska
Students list:	(inaccessible to you)
Examination:	Course - Grading Classes - Grading
Full description:	Both mediation and moderation analysis check how a third variable fit the relationship between the independent and dependent variable. While mediation analysis allows for discovering mechanisms underlying this association, moderation analysis allows for identifying boundary conditions for its occurrence. This course aims to introduce students to mediation, moderation, and moderated mediation analysis. Throughout the consecutive classes, participants will be presented with different moderation, mediation, and conditional process models. The classes would involve a combination of lectures and lab sessions focusing on the estimation and interpretation of the gradually introduced models. The analyses would be performed with Hayes’ (2022) PROCESS macro, both in R and SPSS.
Bibliography:	Main textbook: Hayes, A. F. (2022). Introduction to mediation, moderation, and conditional process analysis. The Guilford Press. Further readings specified per class - see course topics

Classes in period "Winter semester 2024/25" (future)

Time span:	2024-10-01 - 2025-01-26	Selected timetable range: weekly course term Navigate to timetable MO TU W TH CW FR
Type of class:	Classes, 30 hours more information
Coordinators:	(unknown)
Group instructors:	Paulina Górska
Students list:	(inaccessible to you)
Examination:	Course - Grading Classes - Grading
Full description:	Both mediation and moderation analysis check how a third variable fit the relationship between the independent and dependent variable. While mediation analysis allows for discovering mechanisms underlying this association, moderation analysis allows for identifying boundary conditions for its occurrence. This course aims to introduce students to mediation, moderation, and moderated mediation analysis. Throughout the consecutive classes, participants will be presented with different moderation, mediation, and conditional process models. The classes would involve a combination of lectures and lab sessions focusing on the estimation and interpretation of the gradually introduced models. The analyses would be performed with Hayes’ (2022) PROCESS macro, both in R and SPSS.
Bibliography:	Main textbook: Hayes, A. F. (2022). Introduction to mediation, moderation, and conditional process analysis. The Guilford Press. Further readings specified per class - see course topics

Course descriptions are protected by copyright.
Copyright by University of Warsaw.