Douglas Whitaker is an Associate Professor in the Department of Mathematics and Statistics at Mount Saint Vincent University in Halifax, Nova Scotia. Dr. Whitaker completed his PhD in Statistics Education at the University of Florida, and he was previously an Assistant Professor in the Department of Mathematics, Statistics, and Computer Science at the University of Wisconsin-Stout.
Dr. Whitaker’s research areas are: improving the teaching and learning of statistics and developing high-quality tests and instruments. His current work focuses on measuring attitudes. He is a member of the Motivational Attitudes in Statistics and Data Science Education Research (MASDER) team and is Co-PI on an NSF-funded grant to develop a family of instruments for use with students and their instructors (DUE #2013392). Dr. Whitaker also researches the use of non-Likert-type items for measuring attitudes, particularly Evaluative Space Grid (ESG) items. Previously, he was a graduate student on the NSF-funded Levels of Conceptual Understanding in Statistics (LOCUS) project and continues to use and document validity evidence using these assessments. In 2017, Dr. Whitaker was named as an AMTE STaR Fellow.
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.
Levels of Conceptual Understanding in Statistics (LOCUS) project developed a family of tests for measuring statistics knowledge that are freely available online. I joined this project as a graduate student and have continued to use these assessments. My current work about the LOCUS assessments focuses on validity evidence for their use with undergraduate students.
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.