Resources

Generic Syllabus Maker Fill out the form to receive a list of all the dates when your course will meet during the specified semester. Choose the year of your semester.

Workshop overview for the Data Carpentry genomics curriculum. Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. This workshop teaches …

Accurately assessing the postmortem interval (PMI), or the time since death, remains elusive within forensic science research and application. This paper introduces geoFOR, a web-based collaborative application that utilizes ArcGIS and machine …

Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. Interested in teaching these materials? We have an onboarding video available to …

This webinar provides an overview of TOP Factor: its rationale, how it is being used, and how each of the TOP standards relate to individual scores. We also cover how to get involved with TOP Factor by inviting interested community members to suggest …

Discussions of the so-called replication crisis (RC) in psychology have focused on methodological–epistemological considerations. In this article, I follow a speculative approach within analytic philosophy to focus on ontological considerations, as …

This article presents multiple great solutions you should know for changing ggplot colors.

Amidst increased pressure for transparency in science, researchers and community members are calling for open access to study stimuli and measures, data, and results. These arguments coincidentally align with calls within community psychology to find …

Welcome to GLIMMPSE. The GLIMMPSE software calculates power and sample size for study designs with normally distributed outcomes. Select one of the options below to begin a power or sample size calculation.

Clinical trials are governed by principles of good clinical practice (GCP), which can strengthen the achievement of rigor, reproducibility, and transparency in scientific research. Rigor, reproducibility, and transparency are key for producing …