SubjectsSubjects(version: 945)
Course, academic year 2023/2024
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Experimental Psychology - APS100051
Title: Experimentální psychologie
Guaranteed by: Department of Psychology (21-KPS)
Faculty: Faculty of Arts
Actual: from 2022
Semester: winter
Points: 0
E-Credits: 4
Examination process: winter s.:
Hours per week, examination: winter s.:1/1, C [HT]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
Key competences:  
State of the course: taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Level:  
Is provided by: APS100028
Additional information: https://dl1.cuni.cz/course/view.php?id=4848
Note: course can be enrolled in outside the study plan
enabled for web enrollment
priority enrollment if the course is part of the study plan
Guarantor: Mgr. et Mgr. Filip Děchtěrenko, Ph.D.
doc. Mgr. Jiří Lukavský, Ph.D.
Pre-requisite : APS100004
Literature
Last update: Mgr. et Mgr. Filip Děchtěrenko, Ph.D. (14.02.2022)

Studijní literatura a studijní pomůcky:

a) required:

Books

Kantowitz, B., Roediger III, H., & Elmes, D. (2014). Experimental psychology. Cengage Learning. (kapitola 3)

Papers

Brandt, M. J., IJzerman, H., Dijksterhuis, A., Farach, F. J., Geller, J., Giner-Sorolla, R., … Van’t Veer, A. (2014). The Replication Recipe: What makes for a convincing replication? Journal of Experimental Social Psychology, 50, 217–224.

Gelman, A., & Loken, E. (2016). The statistical crisis in science. In The Best Writing on Mathematics 2015 (pp. 305-318). Princeton University Press.

Rohrer, J. M. (2018). Thinking clearly about correlations and causation: Graphical causal models for observational data. Advances in Methods and Practices in Psychological Science, 1(1), 27-42.

Simmons, J. P., Nelson, L. D. & Simonsohn, U. (2011). False-positive psychology undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science, 22(11), 1359–1366.

van't Veer, A. E., & Giner-Sorolla, R. (2016). Pre-registration in social psychology—A discussion and suggested template. Journal of Experimental Social Psychology, 67, 2-12.

Yarkoni, T. (2019). The generalizability crisis. Behavioral and Brain Sciences, 1-37.

b) suggested

Books

Cumming, G. (2013). The New Statistics Why and How. Psychological Science, 0956797613504966.

Box, G. E., Hunter, J. S., & Hunter, W. G. (2005). Statistics for experimenters: design, innovation, and discovery (Vol. 2). New York: Wiley-Interscience.

Zechmeister, E. B., Zechmeister, J. S., & Shaughnessy, J. J. (2006). Research methods in psychology. McGraw-Hill Higher Education. (vybrané kapitoly)

 

Papers

Boot, W. R., Simons, D. J., Stothart, C. & Stutts, C. (2013). The pervasive problem with placebos in psychology why active control groups are not sufficient to rule out placebo effects. Perspectives on Psychological Science, 8(4), 445–454.

Henrich, J., Heine, S. J., Norenzayan, A. & others. (2010). The weirdest people in the world. Behavioral and Brain Sciences, 33(2-3), 61–83.

Loewenstein, G. (2001). Experimental economics from the vantage-point of behavioural economics. The Economic Journal, 109(453), 25–34.

Mook, D. G. (1983). In defense of external invalidity. American psychologist, 38(4), 379.

Prentice, D. A. & Miller, D. T. (1992). When small effects are impressive. Psychological Bulletin, 112(1), 160–168.

The list of other recommended literature is refined during the course.

Teaching methods
Last update: Mgr. et Mgr. Filip Děchtěrenko, Ph.D. (14.02.2022)

lecture/seminar, home study of literature, preparation and implementation of parts of the research

Syllabus
Last update: Mgr. et Mgr. Filip Děchtěrenko, Ph.D. (14.02.2022)

1. Course introduction, requirements for certification

2. Repetition of basic concepts from experimental psychology

3. Complex designs (between and within subject), control of experimental stimuli

4. Causality in experiments and observational studies

5. Tools for designing experiments (PsychoPy, FormR, LimeSurvey)

6. Practice of Open Science techniques - pre-registration

7. Multiverse analysis of experiments

Entry requirements -
Last update: Mgr. et Mgr. Filip Děchtěrenko, Ph.D. (14.02.2022)

Knowledge of basic statistics and quantitative methodology is assumed.

Registration requirements -
Last update: Mgr. et Mgr. Filip Děchtěrenko, Ph.D. (14.02.2022)

The course Methodology, to which this course is related, is assumed to have been taken.

 
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