18 November 2021 - 18 November 2021
4:00PM - 5:00PM
The speaker will address issues of reproducibility/replicability in developmental psychology & describe some practical steps to increase robustness.
In recent years, many psychologists have become increasingly concerned about issues of reproducibility and replicability. From small sample sizes to post-hoc analytic flexibility ("p-hacking"), many factors conspire to decrease the robustness and trustworthiness of results in published research. These problems are important in developmental psychology as well, though the scope of the problem is unknown. The speaker will present some scientific and meta-scientific work he has done on these issues (including progress on the ManyBabies project, a large collaborative replication project in the infancy field) and describe some practical steps to take for increasing the robustness of your own work.
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David and Lucile Packard Professor of Human Biology & Director, Symbolic Systems Program, Stanford University
Michael C. Frank studies language use and language learning, focusing especially on early word learning. He is the founder of the ManyBabies Consortium, a collaborative replication network for infancy research, and has led open-data projects including Wordbank and MetaLab. He has also served as Chair of the Governing Board of the Cognitive Science Society and has edited for journals including Cognition and Child Development.