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Root number
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487913 |
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Semester
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FS2025 |
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Type of course
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Seminar |
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Allocation to subject
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Psychology |
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Type of exam
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Assignment |
| Title |
Improving the credibility of future research I: Improving your statistical inferences through simulation studies in R |
| Description |
Simulation studies help demystify the 'whys' and 'hows' behind statistical rules, make sense of p-values, and allow you to make robust, informed decisions in your research. Many of our statistical practices are based on useful rules: We use a cut-off of p smaler than 0.05 for determining whether results are statistically significant; we know that larger sample sizes are better; we know that our statistical tests have assumptions that that it is important not to violate them. But why? What even is a p value? How are they distributed? If I do violate an assumption, what exactly happens? Monte Carlo simulation studies involve generating data that mirrors real-world scenarios, and then running our statistical tests on this simulated data repeatedly, allowing us to see how the outcomes across various conditions. By simulating thousands or even millions of scenarios, simulation studies give us a comprehensive view of how our statistical tools behave, what results are possible or likely to observe, and why certain practices are recommended. This course is taught in English and assumes some familiarity with data wrangling in R, such as that covered in my other course taught in the Autumn semester: “Improving the credibility of future research I: Digital project management, data wrangling and visualization”. |
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ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Dr.
Ian Hussey, Institute of Psychology, Psychology of Digitalization ✉
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ECTS
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5 |
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Recognition as optional course possible
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No |
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Grading
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1 to 6 |
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| Dates |
Wednesday 12:15-14:00 Weekly
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Rooms
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
User:
Öffentlicher Bereich
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