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63601-01 - Seminar: Mixed Models for (Longitudinal) Data Analysis 1 KP

Semester Frühjahrsemester 2023
Angebotsmuster unregelmässig
Dozierende Angela Leipold (angela.leipold@unibas.ch, BeurteilerIn)
Inhalt Der Workshop wird von Dr. Dale Barr (University of Glasgow) angeboten.

The goal of this workshop is to provide a foundational understanding of the use of mixed-effects models in the analysis of panel (longitudinal) data, with a focus on repeated-measures data. Mixed-effects models are regression models that estimate a 'mix' of fixed and random effects. We will spend the first day covering basic aspects of regression that are critical to the analysis of panel data. On the second day, we will extend these techniques into the mixed-effects framework.

Two pre-requisites for the workshop are: (1) basic understanding of linear regression and (2) some
familiarity with the R statistical programming environment (https://cran.r-project.org) is an important
pre-requisite for the workshop. While it will be possible to understand the conceptual content of the workshop without knowing R, there will be interactive exercises that require understanding of the fundamentals of R programming. For students who are unfamiliar with R, a good starting place are the online course books at: https://psyteachr.github.io.


Day 1
• Modeling trends
-polynomial models
-Generalized Additive Mixed Models (GAMMs)
• Coding predictors and interpreting interactions in regression
-continuous vs categorical predictors
-categorical-by-continuous interactions
-multiway interactions
• Modeling binary and count data with Generalized Linear Models

Day 2: Mixed-effects modeling
• Variance components (variance-covariance matrices)
• Fixed and random factors
• A longitudinal data analysis walkthrough: the sleepstudy data
• Specifying random effects to match the study design
• Dealing with convergence problems
Literatur https://psyteachr.github.io

Bemerkungen Dies ist ein Angebot der Graduate School of Psychology.

Maximum number of participants: 15.

Selection criteria:
1. Currently a PhD candidate in psychology
2. First come - first served

GSP rules for withdrawal, absence, or partial course attendance:

If you cannot attend a workshop that you have signed up for, please cancel your course registration as soon as possible by sending an e-mail to angela.leipold@unibas.ch. This will allow other PhD students interested in the course to move up from the waiting list. The GSP strongly values fairness. After the university’s official registration period has ended, cancelled course will be assessed with NE. Course registrations can be cancelled until one week before the workshops begins. In the case of late cancellations, participants will not be considered for course registration in the next three months of the lecture periods and will be removed from the registration list of any course they have signed up during these three upcoming months of the lecture periods.

If an urgent, unforeseeable, or inevitable event before or during the workshop prevents a participant from attending, a written and substantiated withdrawal request that includes appropriate documentation (e.g. a doctor’s note) must be submitted to angela.leipold@unibas.ch within two days of the workshop and without being prompted. The program director decides on the approval of the withdrawal request.

ECTS-points are awarded only for 100% course attendance.


Teilnahmebedingungen Doktorat im Bereich SED-PSY.

Für Masterstudierende im SWE Science Track: Anmeldung und erfolgreiche Aufnahme in den SWE Science Track.
Siehe: https://www.psychologie.unibas.ch/de/studium/doktoratsstudium/doktoratsprogramme/sozial-wirtschafts-und-entscheidungspsychologie/master-science-track/
Unterrichtssprache Englisch
Einsatz digitaler Medien kein spezifischer Einsatz


Intervall unregelmässig
Datum 27.04.2023 – 28.04.2023
Zeit Siehe Detailangaben
Datum Zeit Raum
Donnerstag 27.04.2023 14.00-18.00 Uhr Missionsstrasse 64a, Seminarraum 00.002
Freitag 28.04.2023 09.00-13.00 Uhr Missionsstrasse 64a, Seminarraum 00.001
Module Doktorat Psychologie: Empfehlungen (Promotionsfach Psychologie)
Modul: Science Track Sozial-, Wirtschafts- und Entscheidungspsychologie (Masterstudium: Psychologie)
Leistungsüberprüfung Lehrveranst.-begleitend
An-/Abmeldung zur Leistungsüberprüfung Anm.: Belegen Lehrveranstaltung; Abm.: stornieren
Wiederholungsprüfung keine Wiederholungsprüfung
Skala Pass / Fail
Wiederholtes Belegen beliebig wiederholbar
Zuständige Fakultät Fakultät für Psychologie, studiendekanat-psychologie@unibas.ch
Anbietende Organisationseinheit Fakultät für Psychologie