Assistant Professor of Psychology
Oklahoma State University
Kara Moore is a cognitive psychologist who studies memory in the legal system, including eyewitness memory and how citizens search for missing and wanted persons. Kara’s teaching includes courses related to Cognition, Memory, Psychology and Law, as well as research methods and statistics. In her methods and statistics teaching and mentorship, Kara emphasizes open and transparent practices in order to normalize these practices for the next generation of researchers. She is an active member of SIPS (Society for the Improvement of Psychological Science). She has presented her work in incorporating Project TIER into mentoring undergraduate researchers at conferences such as the Midwestern Psychological Association and the Society for the Improvement of Psychological Sciences.
Kara has a Ph.D. in Experimental Psychology and is an Assistant Professor at Oklahoma State University. Kara earned a B.A. in Psychology from the University of Texas at Arlington, a M.A. in Experimental Psychology at the University of Arkansas, and a Ph.D. in Experimental Psychology at the University of Arkansas. Prior to joining OSU in 2019, Kara was an Assistant Professor at Knox College (2017-2019), a nationally ranked private liberal arts college.
AS A TIER FELLOW...
Kara developed demonstrations of Project TIER in SPSS. Many researchers and students in psychology and other disciplines rely on SPSS software to conduct data analyses. Therefore, the demonstrations of Project TIER in SPSS make it easier to implement Project TIER for the researchers and students who use SPSS. Kara led a Project TIER workshop and curriculum development hackathon at SIPS (Society for Improving Psychological Science) in 2020. In the curriculum development hackathon, attendees worked with hackathon hosts to create several “soup-to-nuts” exercises. Each exercise covers a subset of components of the Project TIER protocol, such as how to set a working directory, creating an organizational system for saving data and analyses, saving syntax files, beginning to edit syntax, how to create syntax, creating a codebook, and so on. These exercises will be useful for researchers just starting to incorporate reproducibility and transparency in their work and can be implemented in the teaching of statistics, research methods, and other courses. These exercises will be especially useful in instances wherein students are learning to conduct research bit-by-bit and the instructor wants to introduce reproducibility and transparency along with those lessons.