Welcome to TeachPsychScience.org!

For a variety of reasons, students are often less enthusiastic about taking research methods and statistics classes in psychology than they are about taking abnormal or social psychology. As a result, teaching research methods and/or statistics in psychology can be challenging. This requires instructors to develop high quality, engaging activities that make difficult and less palatable concepts more engaging. To help facilitate this process for novice and experienced teachers, we (Gary Lewandowski, Natalie Ciarocco, and David Strohmetz) created a website devoted to peer-reviewed resources for teaching research and statistics in psychology.

Specifically, TeachPsychScience.org provides links to online demonstrations, descriptions of class demonstrations, suggestions for class/lab activities, class assignments, lecture materials, and/or student exercises. Whenever possible, to make your search for resources as expeditious and parsimonious as possible, we provide an electronic copy of the resource or direct link, and have tried to avoid linking to other sites where you would have to search for the desired resource.

TeachPsychScience.org is supported with grant funding from the Association for Psychological Science (APS) Fund for Teaching and Public Understanding of Psychological Science.

Types of Resources

This site features a variety of resources that cover any topic in a research or statistics course in psychology. We strive to emphasize resources that promote active learning in one of two ways:

1. Provide students with opportunities to practice concepts. For example, practicing how to recognize design flaws, or interpreting results based on significance levels and effects sizes would enhance mastery of difficult concepts.
2. Feature class demonstrations and class/lab activities that require students’ active role in the research process. Rather than simply listening to a lecture on factorial designs, we believe that students will ultimately enjoy and benefit from participating in class demonstrations such as an activity that requires them to design a factorial experiment, or working with a relevant dataset that requires them test hypotheses of interest by calculating a two-way ANOVA.

To submit a resource, please click here.