PSBB077 Good Research Practices

Faculty of Arts
Spring 2023
Extent and Intensity
1/1/0. 3 credit(s). Type of Completion: z (credit).
Teacher(s)
Mgr. Edita Chvojka, MSc (lecturer), PhDr. Zuzana Slováčková, Ph.D. (deputy)
Mgr. Vojtěch Juřík, Ph.D. (lecturer)
Mgr. et Mgr. Petr Palíšek (lecturer), PhDr. Zuzana Slováčková, Ph.D. (deputy)
Bc. Barbora Doubravová (assistant)
Guaranteed by
Mgr. Vojtěch Juřík, Ph.D.
Department of Psychology – Faculty of Arts
Contact Person: Jarmila Valchářová
Supplier department: Department of Psychology – Faculty of Arts
Timetable
Tue 16:00–17:40 K12 nerezervovat
Prerequisites
The course builds upon conceptual issues. It is impossible to completely omit some statistical or research terminology from the debates, as the topics of research and statistics are tightly intertwined, however, the course is more methodological and/or philosophical than statistical. Basic knowledge of methodology (having passed an equivalent of Fundamentals of psychological research at FSS) is, however, strongly recommended. Having passed or simultaneously studying a lvl one statistics course (equivalent to Statistical data analysis I at FSS) is strongly recommended as well. Basic high-school background in philosophy and/or having passed a lvl 1 philosophy course (an equivalent of The philosophical fundamentals of psychological knowledge at FSS) should put you at ease.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 10/25, only registered: 0/25
fields of study / plans the course is directly associated with
Course objectives
Psychology has sustained a heavy hit during the ongoing replicability crisis (also called “the crisis of confidence”). The GRP course teaches students how to conduct research adhering to principles of scientific rigor, ethics, and open science, and how to recognize studies and research projects that can be trusted as examples of serious scientific endeavors. By these means, the course aims to prevent the students from committing one of the many sins of questionable research practice. The six modules of the course illustrate the dire consequences of not adhering to the GRP principles, not only for the researchers guilty of committing one of the sins, yet also for psychology as a scientific field.
Learning outcomes
Towards the end of the course, the students will be able to: a) build constructive arguments for good research practices and educate their peers and colleagues about the importance of these principles b) critically reflect on how different types of research pose different challenges of scientific rigor and ethics c) grasp fundamental statistical, philosophical, and conceptual mechanisms which constitute the backbone of good research practices d) understand that conducting statistical tests in exploratory research does not make any sense e) last but not least, be able to preregister (or write the first half of a registered report of) their own research
Syllabus
  • Module 1: The Sin of Corruptibility Module 2: The Sin of Bias Module 3: The Sin of Hidden Flexibility Module 4: The Sin of Unreliability Module 5: The Sin of Data Hoarding Module 6: Redemption The sins of Internment & Bean Counting will be discussed at a seminar within one of the aforementioned modules.
Literature
    required literature
  • CHAMBERS, Chris. The Seven Deadly Sins of Psychology: A Manifesto for Reforming the Culture of Scientific Practice. Princeton University Press, 2019, 296 pp. Available from: https://dx.doi.org/10.1515/9780691192031. info
    not specified
  • Benjamin, D.J., Berger, J.O., Johannesson, M. et al. Redefine statistical significance. Nat Hum Behav 2, 6–10 (2018). https://doi.org/10.1038/s41562-017-0189-z
  • Munafò, M., Nosek, B., Bishop, D. et al. (2017). A manifesto for reproducible science. Nat Hum Behav 1, 0021. https://doi.org/10.1038/s41562-016-0021
  • Open Science Collaboration. (2015). Estimating the reproducibility of psychological science. Science, 349(6251).
  • Lakens, D. (2016). Improving Your Statistical Inferences. Coursera. https://www.coursera.org/learn/statistical-inferences
  • OBELS, Pepijn, Daniël LAKENS, Nicolas COLES, Jaroslav GOTTFRIED and Seth GREEN. Analysis of Open Data and Computational Reproducibility in Registered Reports in Psychology. Advances in Methods and Practices in Psychological Science. 2020, vol. 3, No 2, p. 229-237, 8 pp. ISSN 2515-2459. Available from: https://dx.doi.org/10.1177/2515245920918872. URL info
Teaching methods
lectures, practicals, discussions with the teachers and the invited guests, teacher's feedback on assignments, and pitch presentations with feedback from the lecturers and fellow classmates
Assessment methods
Each week (with the exception of the first one), students either partake in a short quiz that is graded on a 10-point scale. The MEDIAN grade from all the quizzes needs to be at least 5.5 to pass the course.
THE GOAL OF THE COURSE IS TO LEARN SOMETHING. THE GOAL OF THE COURSE IS NOT TO GET AN INSTANT 10 FROM EVERYTHING.
Language of instruction
English
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
Communication in the course is conducted primarily on the discussion forum in IS. This medium (hopefully) ensures that the lecturers can answer your queries in a quick and flexible way, and also that all people in the course can learn from the responses. Should you have a private matter to discuss, write the teachers a PM. The language of instruction is English.Please keep that in mind and try to refrain from speaking Czech. The course aims to be a safe space for practicing academic English, as well as scientific writing in English.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/phil/spring2023/PSBB077