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This course will provide students with a practical and technical introduction to running online behavioural experiments for
research in linguistics and psychology. In recent years, the use of online data collection has been critical for making scientific studies of language more efficient, reliable and transparent, but to use these methods effectively, a knowledge of how they work and when they are appropriate is crucial. Throughout the course, the content will focus on developing a solid understanding of how to code experiments using the JsPsych framework, but no prior experience with coding/programming is required - the content will be aimed at a beginner level, with the expectation of learning to advance steadily each week. During each lecture, worksheets will be provided and students will be required to use their own laptops to learn practically, as well as having support and guidance from the lecturer. A range of different experimental paradigms will be covered, so that students acquire the expertise to be able to create their very own experiments, collect data and then produce a written report, thus following the workflow of empirical researchers. Poslední úprava: Kafka Ivan, Mgr. (28.11.2023)
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The materials will be focused on learning from the bottom up, so the development of skills and knowledge through practical experience will be key – everybody is welcome and will be supported. You simply need a laptop and enthusiasm. This workshop will aim to provide you with the following learning outcomes:
Poslední úprava: Kafka Ivan, Mgr. (28.11.2023)
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1. Active participation in completing course worksheets 2. Construction of a fully working experiment for data collection 3. Writing up a lab report based on your experiment Poslední úprava: Kafka Ivan, Mgr. (28.11.2023)
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De Leeuw, J. R. (2015). jsPsych: A JavaScript library for creating behavioral experiments in a Web browser. Behavior research methods, 47, 1-12.
Keuleers, E., & Balota, D. A. (2015). Megastudies, crowdsourcing, and large datasets in psycholinguistics: An overview of recent developments. Quarterly Journal of Experimental Psychology, 68(8), 1457-1468.
Laurinavichyute, A., Yadav, H., & Vasishth, S. (2022). Share the code, not just the data: A case study of the reproducibility of articles published in the Journal of Memory and Language under the open data policy. Journal of Memory and Language, 125, 104332.
Open Science Collaboration. (2015). Estimating the reproducibility of psychological science. Science, 349(6251), aac4716. Poslední úprava: Kafka Ivan, Mgr. (28.11.2023)
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The structure of the course will be:
1. Introduction to online data collection 2. Methods for running experiments 3. Basics of JsPsych - how to code 4. Integrating JsPsych and Cogntion.run 5. Building your first experiment 6. Extending experiments 7. Working with stimuli 8. Working with data 9. Different experimental paradigms 1 10. Different experimental paradigms 2 11. Crowdsourcing 12. Project proposals 13. Reporting methods Poslední úprava: Kafka Ivan, Mgr. (28.11.2023)
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