This interactive workshop will consider the fundamental of data visualization for language assessment researchers and practitioners. Participants will have the opportunity to learn and discuss what makes visuals effective and what we can do to improve the storytelling capacity of our data. Importantly, we will consider a range of data sources and how best to visualize these, as well as the advantages and disadvantages of everything from bar graphs to more complex visuals. A key focus of the session will be on data interpretation, which is a critical aspect of presenting and writing up results. The session will conclude with a discussion of current tools—including those that are free—that can be used to present and document research findings. This session is open to anyone and does not require any prior experience. It will be particularly useful for students, teachers, and early career researchers interested in data analysis.
is a PhD student at Michigan State University in the Second Language Studies program. He is currently acting as Editorial Assistant for the journal Language Testing with co-editors Luke Harding and Paula Winke. He holds a BA in Mathematics from Hendrix College and an MA in Language Testing from Lancaster University. Dylan’s research interests include the development and validation of speaking tests, rater cognition, and non-verbal behavior.