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Webinar - Data, Won't You Be My Valentine? How to Lovingly Collect, Interpret, and Analyze Data in Higher Education (2:00 p.m. Eastern)

  • Thu, February 14, 2019
  • 1:00 PM - 2:00 PM


Registration is closed

Data, Won't You Be My Valentine?  How to Lovingly Collect, Interpret, and Analyze Data in Higher Education

Dr. Alexandros M. Goudas

There is a serious reproducibility problem in medical journals (Ioannidis, 2005) and psychology journals (Nosek, 2015). That means we will have trouble relying on millions of peer-reviewed articles’ results. The same applies to findings in many publications in higher education. Much of this is due to inadvertent p-hacking: i.e., biased ways of collecting, analyzing, and interpreting data. This webinar will be a primer on how to start (lovingly) interpreting articles and analyzing your own data using sound principles, with the goal of avoiding bias in higher education data. Celebrate Valentine’s Day with data!

Ioannidis, J. P. A. (2005). Why most published research findings are false. PLoS Med 2(8): e124. Retrieved from

Nosek, B. (2015). Estimating the reproducibility of psychological science. Science, 349(6251). Retrieved from


Alexandros M. Goudas is Associate Professor of English at Delta College, Michigan and author of He writes, publishes, and speaks on topics involving data in higher education, especially two-year colleges. His 2012 publication in the Journal of Developmental Education “Addressing Flawed Research in Developmental Education” won the JDE Outstanding Article of the Year Award.


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