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Planning and conducting an experiment in cognitive psychology

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/persons/resource/persons275697

Henke,  Lena
Max Planck Research Group Language Cycles, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons220623

Papitto,  Giorgio       
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons251084

Schroen,  Joelle
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons213900

Trettenbrein,  Patrick       
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
SignLab, Department of German Philology, University of Göttingen;

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Citation

Henke, L., Papitto, G., Schroen, J., & Trettenbrein, P. (2023). Planning and conducting an experiment in cognitive psychology. Wilhelm Wundt Institute of Psychology. University of Leipzig, Germany, 2023-04-23 - 2023-07-10.


Cite as: https://hdl.handle.net/21.11116/0000-000D-31B8-C
Abstract
In this seminar, we will introduce the key skills and knowledge required for quantitative research in neuropsychology. Through active group discussion and practical work, we will explore the nature and principles behind various stages of empirical research. Students will gain hands-on experience in designing and programming an experiment, as well as analysing and interpreting data. This seminar serves as an ideal complement to the curriculum and is open for everyone: prior experience is not required.