Abstract
In this chapter, I describe the basic principles of designing an event-related potential (ERP) experiment for psychology research and the rationales behind these principles. I also explain the challenges that researchers often encounter when trying to control potential confounding factors and keeping focus on the psychological processes of interest. I provide general suggestions to resolve these problems according to the literature together with my personal experience. Finally, I introduce some well-known experimental tasks that have been proven to reliably elicit specific ERP components. Researchers may consider developing their studies based on the classic paradigms.
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Acknowledgments
The author sincerely thanks Jingwen Jin, Xuebing Li, Yongling Lin, Tingting Wu, and Jinfeng Ding for their helpful comments on the manuscript. The writing of this chapter was supported by the Major Program of the Chinese National Social Science Foundation (17ZDA324).
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Gu, R. (2019). ERP Experimental Design. In: Hu, L., Zhang, Z. (eds) EEG Signal Processing and Feature Extraction. Springer, Singapore. https://doi.org/10.1007/978-981-13-9113-2_4
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