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68792-01 - Seminar: Bayesian Multilevel Models using R (1 KP)
| Semester | Frühjahrsemester 2023 |
| Angebotsmuster | unregelmässig |
| Dozierende | Angela Leipold (angela.leipold@unibas.ch, BeurteilerIn) |
| Inhalt | Dieser Worksop wird von Prof. Dr. Emma Zang (Yale University) angeboten. This workshop will introduce you to modern Bayesian methods for analysis and inference in R, with a special focus on Bayesian hierarchical models. Bayesian inference and estimation offer a number of benefits, including the fact that it allows the kinds of inferences that scientists have always wanted to make about hypotheses, models, and parameters. For example, relying on the results of Bayesian analysis, researchers can make direct claims about the support for a model or a hypothesis, such as: "the probability that an effect of X on Y is greater than zero is .99;" or "Model A is twice probable as Model B". The reason why these types of intuitive inferences can be made is that Bayesian methods calculate the probability of parameters, models, or hypotheses directly. This stands in stark contrast to more traditional types of statistical analysis, which can only calculate the probability of an observed dataset -- this is partly why traditional concepts such as standard errors, p-values, and confidence intervals are less intuitive than their Bayesian counterparts. This workshop will introduce you to the Bayesian way of thinking about scientific inference and estimation, focusing on the application of Bayesian hierarchical models through multiple worked examples in R. By the conclusion of the workshop, you will have a working knowledge of the Bayesian approach to inference, and an understanding of what distinguishes it from the traditional (frequentist) approach. You will also understand how to use Bayesian workflows to develop and validate models. Finally, you will learn how to apply Bayesian hierarchical models appropriately for your research questions, especially when you have small sample sizes. |
| Bemerkungen | Dies ist ein Angebot des Doktoratsprogramms SED-PSY. Maximale Anzahl Studierende: 15. Auswahlkriterien bei Überbelegung: 1) Doktorierende SED-PSY 2) Masterstudierende SWE Science Track 3) Doktorierende anderer Vertiefungsrichtungen SED-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 SED-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 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. |
| Teilnahmevoraussetzungen | 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 | Online-Veranstaltung |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| unregelmässig | Siehe Einzeltermine | ||
| Bemerkungen | 8.-9.3.23: Mittwoch 15.00 - 19.00, Donnerstag 15.00-19.00 |
Einzeltermine
| Datum | Zeit | Raum |
|---|---|---|
| Mittwoch 08.03.2023 | 15.00-19.00 Uhr | - Online Präsenz -, -- |
| Donnerstag 09.03.2023 | 15.00-19.00 Uhr | - Online Präsenz -, -- |
| Module |
Doktorat Psychologie: Empfehlungen (Promotionsfach: Psychologie) Modul: Science Track Sozial-, Wirtschafts- und Entscheidungspsychologie (Masterstudium: Psychologie) |
| Prüfung | Lehrveranst.-begleitend |
| An-/Abmeldung zur Prüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | Pass / Fail |
| Belegen bei Nichtbestehen | beliebig wiederholbar |
| Zuständige Fakultät | Fakultät für Psychologie, studiendekanat-psychologie@unibas.ch |
| Anbietende Organisationseinheit | Fakultät für Psychologie |