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Root number
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484609 |
Semester
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HS2023 |
Type of course
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Seminar |
Allocation to subject
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Psychology |
Type of exam
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Assignment |
Title |
Estimating the credibility of past research |
Description |
Elsewhere in your masters you will conduct a thesis project. When reading previous literature in your chosen area, you will likely make several seemingly reasonable assumptions about what you read in published articles. For example, that their descriptions of previous research are accurate, that the new studies they report were actually conducted, that they were conducted as described, that their results are reported accurately, and their conclusions are likely to be valid. Unfortunately, there is good reason to be sceptical.
Nearly twenty years ago a prominent scientist presented mathematical evidence to support his belief that “most published research findings are false”. Despite initial outrage at this idea, large scale replication studies have subsequently supported Ioannidis’ provocative claim. Many areas of science have since been in a period of intense self-reflection about the credibility of their findings. Consumers of scientific publications - including other scientists, students, practitioners, policy makers, and members of the public - are faced with the difficult questions of what to believe and how to determine this. This seminar course will equip you with practical skills with which to estimate the credibility of published research findings. |
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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Prof. Dr.
Malte Elson, Institute of Psychology ✉
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Dr.
Jamie Tane Cummins, Institute of Psychology ✉
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ECTS
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5 |
Recognition as optional course possible
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No |
Grading
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1 to 6 |
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Dates |
Wednesday 14:15-16:00 Weekly
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Rooms |
Seminarraum A 027, UniS
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Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |