My teaching and research interests are focused on appropriate use of statistical methods in educational research, with greatest emphasis on research using experimental design.
Both my teaching and research are greatly informed by questions that arise from collaborations with other researchers. I have partnered with multidisciplinary research teams across a host of study designs and an array of content areas. Study designs have ranged from small correlational studies using surveys as outcomes to full-scale curriculum efficacy trials across large numbers of schools. Project content areas have included literacy acquisition and interventions (L1 and L2 learners, and children with cognitive disabilities); school and classroom behavior interventions; cognition and social outcomes for children with disabilities; and connections between teacher knowledge/beliefs and their students’ outcomes (e.g., elementary literacy curricula, high school science and math curricula, and engineering education). The fruits of many of these collaborations are documented in my publications list.
My own research investigates how statistical tests perform across large numbers of samples generated from specific conditions. For example, how will the test of the linear growth component in a repeated measures analysis of variance perform if individuals are not all measured at the same time (a situation that is common in research where children are tested individually)? Or, as another example, how will the test of the treatment effect in a multilevel model perform if half your sample is in a small-group treatment and the other half is in individual treatment (a situation common to intervention research)? These types of investigations involve conducting Monte Carlo simulation studies by programming sample generation and analysis procedures from software such as SAS, R, Mplus, or Fortran.
Ph.D., Measurement & Statistics in Educational Psychology, University of Washington, 2011
M.Ed., Measurement & Statistics in Educational Psychology, University of Washington, 2004
B.S., Psychology (focus on cognition and memory, with minor in Anthropology), University of Washington, 1999.
My publications can be found here.
My graduate students focus on applied educational statistics projects, as well as Monte Carlo simulation investigations of statistical methods in R, SAS, and Mplus. Reflecting the multidisciplinary history of quantitative research methods, our program's graduate students come from diverse backgrounds, including education, psychology, medicine, sociology, statistics, economics, and engineering. Regardless of prior background, our program faculty and students share a common mission to improve policy and equity through the practice of high-quality, innovative quantitative research methodology.
Our students are expected to take foundational coursework in education (including learning theory, history of education, and policy studies) as well as a range of coursework in measurement and statistics within and outside of the College of Education. Doctoral students are typically funded as TAs or RAs, and those who are accepted into the Ph.D. program are typically students who began in our Master's program in Measurement & Statistics (although there are certainly exceptions). Students who graduate with a master's from our program are typically employed by local district and state agencies, university research groups, and private companies (e.g., market research, software testing research, etc.). Students who graduate with a Ph.D. generally go on to work in academic appointments (teaching and research) or leadership roles within district and state agencies, university research groups, and private testing organizations.
I am always interested in prospective students who demonstrate a passion for quantitative methods, strong writing and analytic skills, and who share our vision for improving policy and equity through the practice of high-quality, innovative quantitative research methodology.
I have taught courses in basic educational statistics, survey research methods, educational research methods, and advanced correlational techniques, and from time to time, will offer seminars on specialized topics. Below are links to recent course syllabi (in pdf format).