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74110-01 - Vorlesung: Applied Statistics for the Behavioral Sciences in R 3 KP

Semester Herbstsemester 2024
Angebotsmuster Jedes Herbstsemester
Inhalt In this course, students will learn to apply statistical methods in R to answer research questions in the behavioral sciences. With a particular focus on experimental methods, the course covers the basic principles of measuring variables, analyzing relationships between variables, and conducting and interpreting t-tests, ANOVAs, and regression models, as well as moderation, mediation, and conditional process models. Practical sessions are integrated throughout, focusing on the use of R and RStudio for data manipulation, visualization, and interpretation of statistical results.
Designed to help students overcome any fear of statistics, this course prepares them for an empirical thesis in the behavioral sciences. It complements the course “Multivariate Datenanalyse” (10198-01) and focuses on statistical methods in experimental behavioral research. The course is also open to Master’s students, offering an opportunity to refresh and apply their statistical knowledge and skills.
Lernziele By the end of this course, students will be able to:
1. Understand and apply different levels of measurement and scales.
2. Perform and interpret t-tests, ANOVAs, post-hoc tests, and planned contrasts.
3. Conduct simple and multiple linear regression analyses.
4. Implement and interpret mediation and moderation models and conduct conditional process analyses.
5. Use R and RStudio to manipulate data, perform statistical analyses, and visualize results effectively.
6. Critically evaluate statistical results and their implications in the context of behavioral science research.
Literatur Field, A., Field, Z., & Miles, J. (2012). Discovering statistics using R.
Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach.
Bemerkungen Lecturer: Dr. Andrea Bublitz


Teilnahmebedingungen There are no prerequisites for participating in this course.
Anmeldung zur Lehrveranstaltung Registration: Please enroll in the Online Services (services.unibas.ch);

Eucor-Students and mobility students of other Swiss Universities or the FHNW first have to register at the University of Basel BEFORE the start of the course and receive their login data by post (e-mail address of the University of Basel). Processing time up to a week! Detailed information can be found here: https://www.unibas.ch/de/Studium/Mobilitaet.html
After successful registration you can enroll for the course in the Online Services (services.unibas.ch).

Applies to everyone: Enrolment = Registration for the course and the exam!
Unterrichtssprache Englisch
Einsatz digitaler Medien kein spezifischer Einsatz


Intervall Wochentag Zeit Raum
wöchentlich Dienstag 14.15-16.00 Biozentrum, Seminarraum U1.197


Datum Zeit Raum
Dienstag 01.10.2024 14.15-16.00 Uhr Biozentrum, Seminarraum U1.197
Dienstag 08.10.2024 14.15-16.00 Uhr Biozentrum, Seminarraum U1.197
Dienstag 15.10.2024 14.15-16.00 Uhr Biozentrum, Seminarraum U1.197
Dienstag 22.10.2024 14.15-16.00 Uhr Biozentrum, Seminarraum U1.197
Dienstag 29.10.2024 14.15-16.00 Uhr Biozentrum, Seminarraum U1.197
Dienstag 05.11.2024 14.15-16.00 Uhr Biozentrum, Seminarraum U1.197
Dienstag 12.11.2024 14.15-16.00 Uhr Biozentrum, Seminarraum U1.197
Dienstag 19.11.2024 14.15-16.00 Uhr Biozentrum, Seminarraum U1.197
Dienstag 26.11.2024 14.15-16.00 Uhr Biozentrum, Seminarraum U1.197
Dienstag 03.12.2024 14.15-16.00 Uhr Biozentrum, Seminarraum U1.197
Dienstag 10.12.2024 14.15-16.00 Uhr Biozentrum, Seminarraum U1.197
Module Modul: Transfer Skills (Bachelorstudium: Wirtschaftswissenschaften)
Modul: Wahlbereich in Wirtschaftswissenschaften (Bachelor Studienfach: Wirtschaftswissenschaften)
Wahlbereich Bachelor Wirtschaftswissenschaften: Empfehlungen (Bachelorstudium: Wirtschaftswissenschaften (Studienbeginn vor 01.08.2021))
Wahlbereich Bachelor Wirtschaftswissenschaften: Empfehlungen (Bachelor Studienfach: Wirtschaftswissenschaften (Studienbeginn vor 01.08.2021))
Leistungsüberprüfung Leistungsnachweis
Hinweise zur Leistungsüberprüfung Students will be evaluated in a final exam (80%) and based on their attendance and participation in the course (20%).
An-/Abmeldung zur Leistungsüberprüfung Anm.: Belegen Lehrveranstaltung; Abm.: stornieren
Wiederholungsprüfung keine Wiederholungsprüfung
Skala 1-6 0,1
Wiederholtes Belegen beliebig wiederholbar
Zuständige Fakultät Wirtschaftswissenschaftliche Fakultät / WWZ, studiendekanat-wwz@unibas.ch
Anbietende Organisationseinheit Wirtschaftswissenschaftliche Fakultät / WWZ