Wednesday, March 16, 2016 - 9:30am to 10:30am
From Andrea: Data analysis contains some degree of error, and any researcher should be mindful of sources and consequences of bias. For this meeting, we will discuss a paper (MacCoun 1998) that provides an overview of researcher bias. The paper will potentially serve as a springboard to discuss potential bias of other postdoc's research and how they are minimizing the effects of these biases. The paper may sound familiar; it was first introduced to the STEM Ed group last semester, but we did not have a chance to discuss it. MacCoun, R. J. (1998). Biases in the interpretation and use of research results. Annual Review of Psychology, 49, 259-287.