This seminar covers the ‘life cycle’ of research that gathers data about the learning process or problem solving during learning. A wide variety of data collection measures are used, but there are commonalities in research design, writing IRB protocols, data collection procedures, measurement issues, data analysis, and writing for publication when these types of learning/performance process research methods are used.  Examples will be read and discussed across a wide range of learning-related outcomes (post-test factual or inference scores, motivation, emotion, performance with a device, etc.) in multiple domains (reading, mathematics, history, science, health, etc.) You will also gain experience writing a proposed research study; this could take the form of a manuscript (from Introduction through Method) or a grant proposal narrative. A secondary goal is to better understand the intertwined measurement and data analysis issues that tend to arise with these sorts of data.