News & Events

Recent Publications

We describe think-aloud interviews with students as a powerful tool to ensure that draft questions fulfill their intended purpose, uncover unexpected misconceptions or surprising readings of questions, and suggest new questions or further pedagogical research. We have conducted more than 40 hour-long think-aloud interviews to develop over 50 assessment questions, and have collected pre- and post-test assessment data from hundreds of introductory statistics students at two institutions.

We empirically examine the degree to which best-estimates of coastal Louisiana floodplains have changed over time and consider implications for risk management policies. We generate variation in estimated 100-year flood depths by truncating a historical data set of observed tropical cyclones to end in years ranging from 1980 to 2016, adopting three procedures for updating various inputs to an existing flood risk model using the truncated data set to identify which factors are most important in driving variation in risk estimates over time. Our findings indicate that the 100-year floodplain extent has substantially expanded in populated areas since 1980 due to these effects.

Recent & Upcoming Talks

Think-aloud interviews with students can be used to detect specific misconceptions and understand how students reason about statistical questions. Data from think-aloud interviews can then be used to develop conceptual assessments, design new teaching strategies, or suggest further experiments to learn how students think about statistics. In this webinar, we will discuss the benefits of using think-aloud interviews to develop conceptual assessments and the experience we have had using think-aloud interviews in two introductory-level statistics courses.







Applied Research and Methods Intern

Government Accountability Office

Jun 2018 – Jul 2018 Washington, DC

Internship completed as part of Truman Scholarship Foundation’s Summer Institute

Summarized DHS R scripts for a team of statisticians and non-statisticians to better understand how the Department calculated various border security metrics. Findings can be found in this report.


Emerging Leaders Program Data Science Intern


Jun 2017 – Aug 2017 Schaumburg, IL
Created a scorecard for a new data integration product in Pandas

Honors and Awards

NSF Graduate Research Fellowship Program (NSF GRFP) Fellow

Awarded in the discipline of public policy; provides $34,000 annual stipend and tuition support

Gertrude M. Cox Scholarship

Established in 1989 to encourage more women to enter statistically oriented professions; awarded to two women annually

Phi Beta Kappa

Inducted into the oldest academic honor society in the United States

Truman Scholarship

A prestigious, competitive graduate school scholarship given to college juniors; recognizes a student’s commitment to public service and leadership potential

Stamps Scholarship

A full tuition and room/board scholarship that recognizes a student’s academic merit, strong leadership potential, and exceptional character



Cognitive Task Analysis and Think-Aloud Interviews

Using methods from cognitive science to uncover misconceptions students in introductory statistical inference courses may hold

Decomposing the Variance in Racial Disparities in Policing

Building hierarchical logistic regression models using Center for Policing Equity data to analyze the variance in racial disparities in policing within a city


  • mrmeyer AT andrew DOT cmu DOT edu
  • 5000 Forbes Avenue, Pittsburgh, PA, 15213