454457-HS2019-0-Multilevel Modeling for Psychological Research (MMPR)





Root number 454457
Semester HS2019
Type of course Seminar
Allocation to subject Psychology
Type of exam Written exam
Title Multilevel Modeling for Psychological Research (MMPR)
Description Multilevel models (MMs) are a set of statistical strategies extremely useful to apply in psychological research.

Several studies in this field analyze change over time in targeted variables. For example, a study might analyze if an intervention produces an improvement in quality of life over time. MMs provide a straightforward and accurate estimation of rates of change and allow for including predictors to see their effects on that evolution.

At the same time, MMs allows for studying simultaneous effects at the individual level and at the group level.

Beside these specific applications, MMs are an alternative for classical parametric statistics, that improves the accuracy of the analysis and increase statistical power.

During the course, we are going to learn what MM are, how MMs strategies could be used in psychological research, and how to apply them using the R software.

We will start introducing the logic of MMs. Then, we will learn to run basic (unconditional) models and strategies to select the ones that better fit the data. We will study models to estimate change (growth curve models) and to identify difference sources of variance of a dependent variable (contextual effects models). We will work on conditional models to establish the effects of predictors operating at difference levels of the data. Finally, we will work on interactive effect models to establish how certain variables might moderate the effect of given predictors.

The seminar contents will be integrated by (i) a theoretical part to explain the meaning and implications of the different MMs; (ii) a practical part where you will learn how to run the MMs in R; and (iii) an exercise part where you will practice the application of those models in a dataset of psychological research.

Requirements for course credits are: Attendance on all four days, active participation, weekly homework, as well as completing brief exercises during classes that will be discussed.

The course will take part on Friday 27.9, 4.10, 11.10, and 18.10. The final examination would be on Friday 25.10.
ILIAS-Link (Learning resource for course) Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible). ILIAS
Link to another web site
Lecturers Prof. Dr. Thomas BergerInstitute of Psychology, Clinical Psychology and Psychotherapy 
Juan Martin Gomez PenedoInstitute of Psychology, Clinical Psychology and Psychotherapy 
ECTS 5
Recognition as optional course possible No
Grading 1 to 6
 
Dates Friday 27/9/2019 09:00-17:00
Friday 4/10/2019 09:00-17:00
Friday 11/10/2019 09:00-17:00
Friday 18/10/2019 09:00-17:00
Friday 25/10/2019 09:00-12:00
 
Rooms Seminarraum 005, Seminargebäude vonRoll
 
Students please consult the detailed view for complete information on dates, rooms and planned podcasts.