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42877-01 - Seminar: Structural Equation Modeling in R 1 KP

Semester Frühjahrsemester 2022
Angebotsmuster unregelmässig
Dozierende Angela Leipold (angela.leipold@unibas.ch, BeurteilerIn)
Inhalt Der Workshop wird von Prof. Dr. Paolo Ghisletta (Universität Genf) angeboten.

This workshop will introduce the use of structural equation modeling (SEM) in psychological
research from an applied perspective. Themes discussed include: graphical representation;
specification, identification, and modification of SEM; estimation and measures of statistical
adjustment; model comparison; effect size; multiple-group analysis; incomplete data. Particular
models discussed include: multiple linear regression, factor analysis, multiple indicator
multiple cause models (MIMIC), multitrait-multimethod models (MTMM), latent curve model
(LCM). Theoretical sessions will be alternated with applied sessions, during which the R
language and environment will be used. Participants are expected to be familiar with multiple
linear regression, analysis of variance, and basics of R.
Lernziele Schedule

Day 1
14:00-15:30 Theory 1: Introduction, particular models, specification, modeling of means, identification, and modification
15:30-16:00 Break
16:00-18:00 Application 1: Simple linear regression and confirmatory factor analysis

Day 2
9:00-10:30 Theory 2: Estimation, goodness-of-fit indices, multiple group analysis, and incomplete data
10:30-11:00 Break
11:00-13:00 Application 2: Multiple-group CFA, incomplete data, visualization of SEMs, extraction of fit information, and example of a complex SEM
Literatur Software
R (http://www.r-project.org/ version 4.1.2), RStudio (2021.09.0), and especially the lavaan package (http://lavaan.ugent.be/; version 0.6-10).

Bemerkungen Maximum number of participants: 15.

Selection criteria:
1. Currently a PhD candidate in psychology
2. After that, by lottery.

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 Psychologie.
Unterrichtssprache Englisch
Einsatz digitaler Medien kein spezifischer Einsatz


Intervall unregelmässig
Datum 01.06.2022 – 02.06.2022
Zeit Siehe Detailangaben
Datum Zeit Raum
Mittwoch 01.06.2022 14.00-18.00 Uhr Missionsstrasse 64a, Seminarraum 00.003
Donnerstag 02.06.2022 09.00-13.00 Uhr Missionsstrasse 64a, Seminarraum 00.003
Module Doktorat Psychologie: Empfehlungen (Promotionsfach Psychologie)
Doktoratsstudium Psychologie: Empfehlungen (Promotionsfach Psychologie (Studienbeginn vor 01.02.2015))
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