Psychology as a discipline has experienced a major transition with respect to how we conduct and report statistical analyses.  Following the exposure of fraudulent research and the failure to replicate a number of published studies, many scientists have started to publish their data sets for use and analysis by other researchers. Indeed, many journals, including Psychological Science, have encouraged researchers to adopt open data practices as a way to increase both the reliability of and confidence in psychological research.

A (perhaps unintended) benefit of the move toward open data is that statistics instructors now have the ability to incorporate these data sets into their courses.  Although many statistics textbooks come with sample data sets, these data sets often lack the richness found in genuine empirical data sets.  An important next step in advancing open science in psychology is to incorporate these principles (i.e., replication, open data) into undergraduate-level statistics and methods courses.  

Open Stats Lab (OSL), therefore, seeks to be resource for the teaching of undergraduate statistics.  Using open data sets from research published in Psychological Science, this website provides statistics instructors with access to open data sets, activities to help students perform and interpret the analyses reported in the published research, and supplemental materials for instructors.

Open Stats Lab was created by Dr. Kevin McIntyre, with funding from the Association for Psychological Science Fund for Teaching and Public Understanding of Psychological Science. Learn more about OSL here.