Lehrveranstaltungen im Wintersemester 2021/2022
(I) Statistik
1) Applied data analysis for psychology using the open-source software R
Dozent/in
Angaben
Seminar
Online
2 SWS
Englischsprachig
Zeit: Di 14:00 - 16:00, MG2/00.09
Voraussetzungen / Organisatorisches
No programming background necessary, basic knowledge on statistical analysis is advantages but not strictly necessary.
Inhalt
You want to create stunning plots? You have a paper coming up (Bachelor Thesis/Master Thesis) but do not know how to analyze research data? You want to save yourself time and energy clicking through SPSS? Look no further. This introductory course into R, will teach you everything you need to know; how to import the data, preprocess it, summarize it, plot it, analyze it and create a visually appealing final report. Some knowledge of R is also very helpful for the master statistics lecture and other seminars, because there it is very shortly introduced and then you are expected to work with it, understand outputs etc. If you bring your own data, you are already set for success! But do not worry, if you do not have any data yet, some will be provided.
Empfohlene Literatur
Course syllables are available online: https://alexander-pastukhov.github.io/data-analysis-using-r-for-psychology/
"R for Data Science" by Garrett Grolemund and Hadley Wickham available freely at http://r4ds.had.co.nz/
Englischsprachige Informationen:
Title:
Applied data analysis for psychology using the open-source software R
Credits: 3
Zusätzliche Informationen
Schlagwörter: statistical analysis, data science, statistics
Institution:Lehrstuhl für Allgemeine Psychologie und Methodenlehre
2) Statistical Rethinking
Dozent/in
Angaben
Sonstige Lehrveranstaltung
Online
2 SWS
Englischsprachig
Zeit: Mi 14:00 - 16:00
Inhalt
Do you find statistics boring and confusing? Did the statistics lecture leave you with questions about Bayesian statistics? Do you want to improve and better understand your analysis? Then this seminar is for you.
In this seminar we will approach statistics from a different perspective than typical courses. Instead of learning different methods to analyze specific problems, we will learn how to build a statistical model from the ground up with the goal of being able to build a customized model for any statistical problem and analysis, so you will understand exactly what your analysis does and why you are doing it in this way. We will start with a basic concept of probability and proceed to understanding what statistical models are and how to build them. Over the course of the seminar, we will move forward to more advanced topics such as use of path diagrams (a.k.a. directed acyclic graphs) to identify spurious associations and infer causality, adding flexibility to the analysis via generalized linear multilevel models, using information criteria to evaluate our models, performing power analysis, etc.
Forming a book club we will read Statistical Rethinking by Richard McElrath https://www.oreilly.com/library/view/statistical-rethinking/9781482253481/. It is an excellent introductory statistics book that explain even most intimidating topics very clearly, links all seemingly discrepant topics together, and has plenty of examples in R. We will read one chapter every week and discuss the topics and questions during the seminar. Some Bachelor level knowledge of statistics and R is beneficial, but no prior knowledge beyond high school algebra is required!
Empfohlene Literatur
"Statistical Rethinking: A Bayesian Course with Examples in R and Stan" by Richard McElreath
Englischsprachige Informationen:
Title:
Statistical Rethinking
Credits: 3
Zusätzliche Informationen
Schlagwörter: statistics, bayesian statistics
Erwartete Teilnehmerzahl: 12
Institution:Lehrstuhl für Allgemeine Psychologie und Methodenlehre
(II) Methoden
1) Qualitative Methoden
Qualitative Methoden in der psychologischen Forschung
Dozent/in
Angaben
Seminar
Online
Zeit: Mo 14:00 - 16:00
Inhalt
In diesem Seminar werden wir selbst eine kleine qualitative Interview-Studie durchführen und mit Hilfe der Inhaltsanalyse von Mayring und Kuckartz auswerten. Unterwegs werden wir die verschiedenen Schritte im qualitativen Forschungsprozess ausprobieren (Formulieren einer Forschungsfrage, Entwicklung eines Interviewleitfadens, Führen eines Interviews, Transkription, Analyse) und die Methodik theoretisch anhand von Literaturarbeit reflektieren. Zudem werden wir über die Rolle der qualitativen Methoden in der Psychologie und ihrem Verhältnis zu den quantitativen Methoden sprechen. Zuletzt wagen wir noch einen kleinen Blick auf weitere qualitative Methoden jenseits der Inhaltsanalyse wie der Archivarbeit oder der teilnehmenden Beobachtung.
Prüfungsleistung ist ein kleiner Bericht über die eigene Forschung am Ende des Semesters.
Institution:Lehrstuhl für Allgemeine Psychologie und Methodenlehre
2) Replikationsstudien
Dozent/in
Dr. Lukas Röseler
Angaben
Seminar
Zeit und Ort: Mo 10:00 - 12:00, M3N/03.28
Inhalt
In diesem forschungslastigen Seminar werden die Goldstandards für Replikationsforschung, die im Zuge der Replikationskrise in den letzten 10 Jahren entwickelt worden, vorgestellt und erklärt. Darunter befinden sich beispielsweise das Replication Recipe (Brandt et al., 2014), die Rekonzeptualisierung des Begriffes „Replikation“ von Hüffmeier et al. (2016), sowie der Small Telescopes Approach zur Bestimmung von minimalen Effektstärken (Simmons, 2015).
Die teilnehmenden werden relativ eigenständig in einer Gruppe (oder bei großer Teilnehmendenzahl in zwei Gruppen jeweils) eine direkte Replikation einer berühmten Studie zu Ankereffekten durchführen. Sie erhalten dabei einen tiefen Einblick in aktuelle Forschung. Über das Seminar hinaus sollen die Ergebnisse langfristig publiziert werden, wobei die Teilnehmenden selbstverständlich als Ko-Autor(in)en erwähnt werden.
Empfohlene Literatur
• Brandt, M. J., IJzerman, H., Dijksterhuis, A., Farach, F. J., Geller, J., Giner-Sorolla, R., Grange, J. A., Perugini, M., Spies, J. R., & van 't Veer, A. (2014). The replication recipe: what makes for a convincing replication? Journal of Experimental Social Psychology, 50, 217–224. https://doi.org/10.1016/j.jesp.2013.10.005
• Hüffmeier, J., Mazei, J., & Schultze, T. (2016). Reconceptualizing replication as a sequence of different studies: a replication typology. Journal of Experimental Social Psychology, 66, 81–92. https://doi.org/10.1016/j.jesp.2015.09.009
• Simonsohn, U. (2015). Small telescopes: Detectability and the evaluation of replication results. Psychological Science, 26(5), 559–569. https://doi.org/10.1177/0956797614567341
Es stehen die Studien von Epley und Gilovich zur Auswahl für die Replikation (ausgenommen Epley & Gilovich, 2006, Study 2a):
• Epley, N., & Gilovich, T. (2001). Putting adjustment back in the anchoring and adjustment heuristic: differential processing of self-generated and experimenter-provided anchors. Psychological Science, 12(5), 391–396. https://doi.org/10.1111/1467-9280.00372
• Epley, N., & Gilovich, T. (2004). Are adjustments insufficient? Personality & Social Psychology Bulletin, 30(4), 447–460. https://doi.org/10.1177/0146167203261889
• Epley, N., & Gilovich, T. (2005). When effortful thinking influences judgmental anchoring: differential effects of forewarning and incentives on self-generated and externally provided anchors. Journal of Behavioral Decision Making, 18(3), 199–212. https://doi.org/10.1002/bdm.495
• Epley, N., & Gilovich, T. (2006). The anchoring-and-adjustment heuristic: why the adjustments are insufficient. Psychological Science, 17(4), 311–318. https://doi.org/10.1111/j.1467-9280.2006.01704.x
Englischsprachige Informationen:
Title:
Designing and Evaluating Replications
Institution:Lehrstuhl für Persönlichkeitspsychologie und Psychologische Diagnostik
2) Programming (Python)
Dozent/in
Angaben
Seminar
Online
Zeit: Di 8:00 - 10:00, MG2/00.09
Inhalt
Want to write your own experiment? This seminar introduces you to the programming language Python in a fun and playful way. No literally! Together we will program games (because psychological experiments are merely boring games), including familiar favorites such as "Snake", “Memory”, "Space invaders" using field-standard PsychoPy library.
This course is especially tailored to your needs as a student in the humanities. No prior programming skills required, as you will learn all necessary material starting from basic variables and functions, proceeding to conditional statements, list, and dictionaries, and further to more advanced topics of using classes and object-oriented programming. In addition, the aim of the course is to develop good programming habits and skills including debugging, use of linters to ensure consistent style, git for version control, etc.
Empfohlene Literatur
The course material is available online at https://alexander-pastukhov.github.io/python-for-experimental-psychology/
Englischsprachige Informationen:
Title:
Python for social and experimental psychology
Credits: 3
Institution:Lehrstuhl für Allgemeine Psychologie und Methodenlehre
(III) Debates & Literature
1) Cognitive Reading Club
Dozentinnen/Dozenten
Dr. Alexander Pastukhov, Prof. Dr. Claus-Christian Carbon, M.A.
Angaben
Seminar
Englischsprachig, nur nach vorheriger Anmeldung bei Prof. Carbon
Zeit und Ort: Di 14:00 - 16:00, Raum n.V.
Voraussetzungen / Organisatorisches
Für Studierende, die eine Forschungs- oder Seminararbeit im Bereich der kognitiven Psychologie schreiben.
Institution:Lehrstuhl für Allgemeine Psychologie und Methodenlehre