Douglas Whitaker is an Associate Professor in the Department of Mathematics and Statistics at Mount Saint Vincent University in Halifax, Nova Scotia. Dr. Whitaker’s primary research area is developing and evaluating psychometrically valid instruments for use in educational contexts. Additionally, he is broadly interested in the teaching and learning of statistics and data science and provides statistical consulting services across disciplines.
Dr. Whitaker’s current work focuses on measuring attitudes, and he is a member of the Motivational Attitudes in Statistics and Data Science Education Research (MASDER) team. As a member of the MASDER team, he is a Co-PI on an NSF-funded grant to develop a family of instruments for use with students and instructors to holistically measure attitudes and characteristics of the learning environment in statistics and data science education contexts (DUE #2013392). Dr. Whitaker also studies the use of non-Likert-type items for measuring attitudes.
Dr. Whitaker attended the University of Florida, where he earned his master’s degree in Statistics in 2012 and doctorate in Statistics Education in 2016. As a graduate student, he served as a member of the NSF-funded Levels of Conceptual Understanding in Statistics (LOCUS; DRL-1118168) test development project.
PhD in Statistics Education, 2016
University of Florida
MStat in Statistics, 2012
University of Florida
BA in Statistics, 2010
University of Florida
BS in Mathematics, 2010
University of Florida
The Motivational Attitudes in Statistics and Data Science Education Research (MASDER) research group is developing a family of instruments to measure student and instructor attitudes and characteristics of learning environments for statistics and data science courses. This work is funded by the National Science Foundation (DUE-2013392).
Evaluative Space Grid (ESG) items may provide for a more nuanced understanding of neutral attitudes. This work is in its early stages and is supported by an internal New Scholars Grant from Mount Saint Vincent University.
The Levels of Conceptual Understanding in Statistics (LOCUS) project developed a family of tests for measuring statistics knowledge that are freely available online. The aim of the LOCUS project (PI: Tim Jacobbe) was to develop statistics tests that measured conceptual—rather than procedural—knowledge. I joined this project as a graduate student and have continued to use these assessments and document their validity evidence for use with different populations.
I develop and share activities and lesson plans for teaching statistics topics.
I have been a member of a large team that is documenting validity evidence for instruments and tests used in mathematics and statistics education.
What are educators perceptions of disciplinary alternative schools? What are student academic and behavioral performance outcomes at such a school?
Citrus greening disease (huanglongbing) affects many parts of citrus trees and has devastating consequences for industry. To what extent can starch content in citrus leaves be used to predict if a tree is infected with huanglongbing?
To what extent can roadside areas provide habitat for butterflies, and what effect do different mowing intervals have on these areas?
A university department needs a new statistics placement test. This project is evaluating the current mathematics placement test, documenting validity evidence supporting its use, and determining what modifications would be necessary for it to serve as a suitable placement test for statistics.
Many words used in statistics also have different meanings in other contexts, especially everyday life. How do students in a high school statistics course understand some of these terms?
A teacher preparation program at a university developed a set of assessments embedded within courses that were to be used to measure important outcomes. The assessments were motivated by the state’s adoption of a high stakes teacher licensing exam and accreditation requirements.
Statistics teachers at the school level face many challenges, especially considering that most are trained in teaching mathematics. How did exemplary statistics teachers overcome such challenges?
I develop and release R packages while working on other projects.
What are graduate assistants' experiences with the health insurance provided by their university?
As a reflective practitioner, I am committed to studying best practices for teaching.
I research affective constructs in statistics education using existing instruments such as the Survey of Attitudes Toward Statistics (SATS-36; Schau, 2003).
I was a co-editor of the Statistics Teaching and Learning Corner (StatTLC) blog.
The Survey of Attitudes Toward Statistics (SATS) is a widely used family of instruments for measuring attitude constructs in statistics education. Since the development of the SATS instruments, there has been an evolution in the understanding of validity in the field of educational measurement emphasizing validation as an on-going process. While a 2012 review of statistics education attitude instruments noted that the SATS family had the most validity evidence, two types of challenges to the use of these instruments have emerged: challenges to the interpretations of scale scores and challenges using the SATS instruments in populations other than undergraduate students enrolled in introductory statistics courses. A synthesis of the literature and empirical results are used to document these challenges.