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Tuesday, June 5 • 9:15am - 10:15am
Effective Surveys

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UPDATE -- I have uploaded the slides and some supporting documents. Thanks to all who attended! Please feel free to email with follow-up questions.

This session is intended to synthesize ideas from several disciplines into a set of practical ideas and tools for assessment staff to use in designing surveys, analyzing results, and improving them. The theory comes from machine learning (predictive analytics), psychology (item design), information theory (distributional properties), tools from educational measurement, text mining, and Astin's model for understanding student development.

This collection of ideas blends nicely to create a few selected ways to look at survey item data and the interactions between them. The resulting tools do not require great knowledge of the listed bodies of work--there are a few technical concepts, but these can easily be looked up a leisure for those wanting to know more, and the _usefulness_ of the concept should be obvious without a theoretical background. For example, information theory gives us a nice formula for assessing a trait of survey responses we might casually refer to as "how spread out they are."

Real examples will be used to show how surveys can be highly effective in understanding student traits and the influence of those traits on student outcomes.

Both quantitative (e.g. Likert-like) survey elements and written text will be considered, with emphasis on the former.

avatar for David Eubanks

David Eubanks

Assistant VP for Assessment and Institutional Effectiveness, Furman University
David Eubanks holds a PhD in Mathematics from Southern Illinois University and currently serves as Assistant Vice President for Assessment and Institutional Effectiveness at Furman University. He has worked on the practical side of assessing student learning, including student writing... Read More →

Surveys pptx

Tuesday June 5, 2018 9:15am - 10:15am MDT