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Introduction: The push towards open data and computational reproducibility in psychology led to the American Psychological Association’s inclusion of Open Science in its Guidelines for the Undergraduate Psychology Major 3.0. Point-and-click statistical software, such as Jamovi and SPSS, often fails to foster a reproducible, data-driven approach compared to script-based languages like R. Statement of the Problem: Psychology curricula often underemphasize coding education despite discipline calls for reproducibility and industry demand. This reliance on point-and-click software does not equip students with the necessary coding proficiencies, impeding their ability to develop new skills.Literature Review: Studies indicate a preference for tools like R across industry, graduate school, and students. Transitioning to these tools, however, presents challenges, including heightened anxiety among coding novices.Teaching Implications: The "Psychological Statistics You Can Handle" (PSYCH) module leverages tidy coding principles and interactive, corrective learning environments to mitigate student anxiety and deepen engagement with real datasets. Conclusion:PSYCH effectively addresses psychology’s replication crisis by weaving open science and reproducible analysis into statistical education, thereby bridging theoretical knowledge with practical skills. This module not only facilitates data analysis proficiency but also adapts to instructor modifications via GitHub and prepares students for rigorous psychological research.
Carriere et al. (Fri,) studied this question.