Methods Workshop 2
Understanding Statistics in Research Articles
Wednesday, January 5
East Campus Library 3311
Do you have difficulty understanding the statistical techniques described in a research article? Do you find yourself skimming the methods or results segment of a paper or publication? Do you wish you could better assess the validity or limitations of the statistical claims in these articles? If you answered yes to any of these questions, this workshop is for you. The facilitator will overview statistical methods commonly used in research articles and the many factors that may affect the validity of these methods. Participants are invited to bring research articles with them to the workshop.
Not sure this workshop is for you? Would you prefer a one-on-one consultation that would jump start your research or scholarship skills, knowledge or abilities? Click here to learn more about the array of individualized appointments offered during January Symposium for graduate students, part-time faculty and full-time faculty.
Sam Prins is an associate professor in the Department of Mathematics & Statistics where she teaches the general education introductory statistics course as well as a variety of courses for minors and majors in statistics. Sam uses a variety of learner centered approaches in her courses including POGIL and Team-Based Learning as well as combinations of lecturing and learner-centered approaches. Her work on learner-centered instruction in an upper level theoretical statistics course was published in the Journal of Statistics Education. Since joining JMU in 2006, Sam has participated in two Madison Teaching Fellows programs and recently became a faculty associate with CFI. Sam received a B.S. (Hons) in Statistics from the University of Auckland in New Zealand and an M.S. and Ph.D. in Statistics from the University of Washington. Her scholarly interests include environmental statistics and the scholarship of teaching and learning as it pertains to statistics.
For more information contact the Center for Faculty Innovation | 540-568-4846