CERA @ CSSE Conference 2019
University of British Columbia, Vancouver, British Columbia
Two exciting workshops are being offered during the pre-conference (June 1, 2019) of CERA 2019: (1) Evaluating the Quality of Assessment and Survey items using Interactive Visualizations (half-day workshop by Dr. Okan Bulut) and (2) Factor Analyses (full day workshop by Dr. W. Todd Rogers)
Evaluating the Quality of Assessment and Survey items using Interactive Visualizations (by Dr. Okan Bulut)
Communicating survey results is one of the crucial steps in survey research. To convey survey results to various audiences effectively, researchers tend to use data visualization tools available in advanced software programs such as Tableau, Plotly, and Qlikview. However, there are many other tools readily available to researchers for creating effective data visualizations with survey data. This short workshop will demonstrate the use of various visualization tools (e.g., Microsoft Excel, Shiny in R, and Google Data Studio) for building effective visualizations. In addition, visual storytelling for effective communication of survey results will be discussed using real-world examples.
Dr. Bulut is an Associate Professor of educational measurement and psychometrics as well as a member of the Centre for Research in Applied Measurement and Evaluation (CRAME) at the University of Alberta. CRAME is a research-intensive centre in the Measurement, Evaluation and Cognition (MEC) area of the Department of Educational Psychology in the Faculty of Education at the University of Alberta. Dr. Bulut’s primary research areas are centered on educational and psychological measurement, evaluation, psychometrics, and technology integration in education. Specifically, his current research interests include computerized adaptive and computer-based testing, automated feedback and score reporting, survey design, psychological testing, and statistical programming using the R programming language.
Factor Analysis (by Dr. W. Todd Rogers)
The purpose of factor analysis is to explain relations among numerous observed or manifest variables in terms of relations among a small number of derived or latent variables. Stated another way, the aim is to summarize the interrelationships among a set of manifest variables in a concise but accurate manner as an aid in conceptualizing these relationships. This summary is generally produced in a few latent variables, or factors, to keep the solution understandable in the sense there is a smaller number of factors than observed variables. It is important that all the factors be interpretable. In this workshop, we will look at various procedures for obtaining a small number of interpretable factors.
Dr. Rogers is a Professor Emeritus from the University of Alberta and the Founding Director of the Centre for Research in Measurement and Evaluation (CRAME). Dr. Rogers taught Measurement, Construction and Analysis of Survey Questionnaires and Attitude Scales, Introduction to Research, Statistics, Factor Analysis, Generalizability Theory, and Program Evaluation at the graduate level and Classroom Assessment at the undergraduate level. Dr. Rogers provided short courses dealing with Factor Analysis and Generalizability. He served at the Chair of the Joint Advisory Committee and the Working Group that developed the Principles for Fair Student Assessment Practices in Canada.
****Both workshops are delivered in English only****