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| Semester | Herbstsemester 2024 |
| Angebotsmuster | unregelmässig |
| Dozierende | Angela Leipold (angela.leipold@unibas.ch, BeurteilerIn) |
| Inhalt | This workshop will be held by Prof. Dr. Matti Vuorre (Tilburg University) Title: Multilevel models with brms: Challenges and opportunities Abstract: This workshop focuses on hands-on practical topics in fitting, troubleshooting, and reporting multilevel models with the brms R package. We place emphasis on practical applicability, replicability, collaboration, and visualization. We begin by establishing a replicable computational workflow to facilitate versioning, collaboration, and seeking help. We then review multilevel regression models, their notation, and estimation with brms. After establishing the basics we will take a closer look at specific kinds of advanced models, including censored data models, missing data, and dynamic structural equation models. Workshop participants are expected to be familiar with the basics of regression modeling and with the basics of the R statistical environment. Note: Participants must have the camera switched on. |
| Bemerkungen | Maximum number of participants: 15. Selection criteria: 1. PhD students from the SC-PSY PhD program 2. Master Science Tracker (StO 15) resp. Science Tracker Society and Choice (StO24) 3. Currently a PhD candidate in psychology 4. First come - first served SC-PSY 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 SC-PSY 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 work-shop 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 SC-PSY. Für Masterstudierende im Society&Choice/SWE Science Track: Anmeldung und erfolgreiche Aufnahme in den SWE Science Track. Siehe: https://psychologie.unibas.ch/de/studium/doktoratsstudium/doktoratsprogramme/society-and-choice/science-track/ |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| unregelmässig | Siehe Einzeltermine | ||
| Datum | Zeit | Raum |
|---|---|---|
| Donnerstag 14.11.2024 | 14.00-18.00 Uhr | - Online Präsenz -, -- |
| Freitag 15.11.2024 | 09.00-13.00 Uhr | - Online Präsenz -, -- |
| Module |
Doktorat Psychologie: Empfehlungen (Promotionsfach: Psychologie) Modul: Science Track Society and Choice (Masterstudium: Psychologie) Modul: Science Track Sozial-, Wirtschafts- und Entscheidungspsychologie (Masterstudium: Psychologie (Studienbeginn vor 01.08.2024)) |
| Leistungsüberprüfung | Lehrveranst.-begleitend |
| Hinweise zur Leistungsüberprüfung | Active seminar participation. |
| 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 |