DXX_OSMA Mini-course in Open Science & Meta-analysis

Faculty of Economics and Administration
Autumn 2025
Extent and Intensity
0/24. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. Ing. Miloš Fišar, Ph.D. (lecturer)
Matteo Maria Marini, PhD (lecturer)
Guaranteed by
doc. Ing. Miloš Fišar, Ph.D.
Faculty of Economics and Administration
Supplier department: Faculty of Economics and Administration
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 25 student(s).
Current registration and enrolment status: enrolled: 8/25, only registered: 0/25, only registered with preference (fields directly associated with the programme): 0/25
fields of study / plans the course is directly associated with
Course objectives
This course aims to provide a critical view on the “rules of a game named science” and introduces remedies to the manifold issues jeopardizing the credibility of scientific results: power calculations, confirmatory research (pre-registration), and open and transparent research practices. In addition, the course covers the fundamentals of meta-analysis, a method used to systematically combine results from multiple studies to assess consistency, resolve conflicting findings, and improve the precision of effect size estimation.
Learning outcomes
Upon successful completion of the course, students are expected to: (i) understand why and how common (mal)practices in scholarly research translate into low levels of replicability and low reliability;
(ii) understand the virtue of confirmatory research and transparent research practices regarding the credibility of research findings;
(iii) be able to undertake a priori power calculations and sensitivity analysis, and to devise pre-analysis plans for research projects;
(iv) be able to critically assess scientific projects and results with respect to malpractices, research integrity, and ethical aspects;
(v) understand the relative advantages of conducting meta-analyses as compared with narrative literature reviews;
(vi) understand the principles of meta-analysis, including such steps as study selection, choice of summary statistics, moderators, and models;
(vii) be able to conduct a meta-analysis using Stata, including such steps as heterogeneity assessment, subgroup analysis, meta-regression, and bias detection and mitigation;
(viii) be able to critically evaluate published meta-analyses, identifying methodological strengths or weaknesses.
Language of instruction
English
Further Comments
The course can also be completed outside the examination period.
The course is taught only once.
The course is taught in blocks.
  • Enrolment Statistics (recent)
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