Willa van Dijk is an assistant professor of special education in the department of Special Education and Rehabilitation Counseling at Utah State University. Her research focuses on understanding reading development in children and in particular, the reasons why some children struggle to learn to read and what we can do to prevent reading problems. She uses advanced statistical methodologies to examine data. Her current work focuses on using integrative data analysis to combine multiple independent data sets to examine individual differences in response to multi-component reading interventions. In addition, she researchers effective ways to prepare and retain special education teachers. Current project related to this include social support networks and their relation to intent-to-stay in the field, and the effect of fiscal incentives to become a special educator. Willa applies Open Science Practices in her work and also examines the use of Open Science Practices in educational research.
Willa is currently accepting doctoral students for Fall 2023.
PhD in Special Education, 2019
University of Florida
MEd in Special Education, 2014
East Tennessee State University
MA in Classical Languages, 2005
University of Groningen
Willa is the Co-chair of undergraduate programs in Special Education and teaches reading intervention courses. She mentors undergraduate, Master’s, and doctoral students on projects related to reading interventions, teacher preparation, and quantitative methodologies.
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Randomized control trials are considered the pinnacle for causal inference. In many cases, however, randomization of participants in social work research studies is not feasible or ethical. This paper introduces the co-twin control design study as an alternative quasi-experimental design to provide evidence of causal mechanisms when randomization is not possible. This method maximizes the genetic and environmental sameness between twins who are discordant on an “exposure” to provide strong counterfactuals as approximations of causal effects. We describe how the co-twin control design can be used to infer causality and in what type of situations the design might be useful for social work researchers. Finally, we give advantages and limitations to the design, list a set of Twin Registries with data available after application, and provide an example code for data analysis.