Digital Module 17: Data Visualizations
Recorded On: 08/20/2020
In this digital module, Nikole Gregg and Dr. Brian Leventhal discuss strategies to ensure data visualizations achieve graphical excellence. Data visualizations are commonly used by measurement professionals to communicate results to examinees, the public, educators, and other stakeholders. To create effective visualizations, it is important that they communicate data effectively, efficiently, and accurately. Unfortunately, measurement and statistical software default graphics typically fail to uphold these standards and are therefore not necessarily suitable for publication or presentation to the public. The instructors review key literature, discuss strategies for enhancing graphical presentation, and provide an introduction to the Graph Template Language (GTL) in SAS to illustrate how elementary components can be used to make efficient, effective and accurate graphics for a variety of audiences. The module contains audio-narrated slides, embedded illustrative videos, quiz questions with diagnostic feedback, a glossary, sample SAS code, and other learning resources.
Key words: data visualization, graphical excellence, graphical template language, SAS
Nikole Gregg is a doctoral student in the Assessment & Measurement program at James Madison University, where she has taken on many roles, including various assessment and measurement consulting experiences at JMU and in K-12 settings. Through her work, she has refined and developed skills necessary to present sophisticated data analyses to non-technical audiences. Her research interests include the application of multidimensional item response theory to account for response styles, fairness in testing, and validity theory. Nikole is passionate about improving fairness and equity within assessment, measurement, and policy.
Contact Nikole via firstname.lastname@example.org
Brian is an assistant professor in the Assessment and Measurement PhD program in the Department of Graduate Psychology at James Madison University as well as an assistant assessment specialist in the Center for Assessment and Research Studies at James Madison University. There, he teaches courses in quantitative methods, including a course on Simulation Studies in Psychometrics. Brian received his Ph.D. from the University of Pittsburgh. His research interests include multidimensional item response models that account for response styles, response process models, and classification errors in testing. Brian is passionate about teaching and providing professional development for graduate students and early-career practitioners. He has thoroughly enjoyed collaborating with Allison Ames and the Instructional Design Team to develop this module.
Contact Brian via email@example.com