Elizabeth Tipton

About

Elizabeth Tipton is a Professor of Statistics and Data Science. Her professional focus includes social statistics, as indicated by the menu navigation on her page. She mentors a team of graduate and undergraduate students working on topics such as generalizability, meta-analysis, evaluation, treatment effect heterogeneity, nonparametric methods, machine learning, and model selection. She has sponsored and served on committees for numerous PhD candidates in Statistics, Data Science, Computer Science, and related fields at Northwestern University and Columbia University. Her role involves advising senior theses and undergraduate research in economics and mathematical methods in social statistics. Contact information is provided as tipton at northwestern dot edu.

Research topics

• Computer Science
• Data Mining
• Statistics
• Engineering
• Machine Learning
• Mathematics
• Econometrics
• Economics
• Data science
• Psychology

Selected publications

• Meta-analysis with Robust Variance Estimation: Expanding the Range of Working Models

  Prevention Science · 2021 · 606 citations

  Senior authorCorresponding
  DOI

• Behavioural science is unlikely to change the world without a heterogeneity revolution

  Nature Human Behaviour · 2021 · 528 citations

  DOI

• MetaExplorer : Facilitating Reasoning with Epistemic Uncertainty in Meta-analysis

  2023-04-19 · 8 citations

  preprintOpen access

  Scientists often use meta-analysis to characterize the impact of an intervention on some outcome of interest across a body of literature. However, threats to the utility and validity of meta-analytic estimates arise when scientists average over potentially important variations in context like different research designs. Uncertainty about quality and commensurability of evidence casts doubt on results from meta-analysis, yet existing software tools for meta-analysis do not provide an explicit sof…

  PublisherOA PDFDOI

• A Knowledge Mobilization Framework: Toward Evidence-Based Statistical Communication Practices in Education Research

  Journal of Research on Educational Effectiveness · 2023-05-22 · 7 citations

  articleSenior author

  The evidence-based decision-making movement often assumes that once evidence is available (e.g., via the What Works Clearinghouse), decision-makers will integrate it into their practice. Research-practice partnership studies have shown this is not always true. In this paper, we argue that instead of assuming research will be useful and used, we should directly study strategies for disseminating evidence and mobilizing knowledge. We present a framework for organizing knowledge mobilization resear…

  PublisherDOI

• The Value of Variation: Embracing Heterogeneity in Intervention Research

  Teachers College Record The Voice of Scholarship in Education · 2024-08-01 · 6 citations

  article

  If our goal in education research is to produce knowledge that is useful and used, we need to design impact evaluations that value understanding variation as much as understanding average impact. The context in which an intervention is implemented and the characteristics of participants are integral components of the intervention, and we need to study those components just as seriously as we do the intervention itself. Better understanding variation requires building a framework for what context…

  PublisherDOI

Recent grants

• Modern Meta-Analysis Research Institute

  NSF · $94k · 2019–2023

Frequent coauthors

• Job Godino

  Family Health Centers of San Diego

  40 shared

• Natalie M. Golaszewski

  Human Longevity (United States)

  39 shared

• Eric B. Hekler

  University of California, San Diego

  39 shared

• Kevin Patrick

  38 shared

• Gregory J. Welk

  Iowa State University

  38 shared

• Guillaume Chevance

  University of California, San Diego

  38 shared

• Matthew P. Buman

  Arizona State University

  38 shared

• James E. Pustejovsky

  21 shared

Labs

• Elizabeth Tipton LabPI

Education

• Ph.D., Statistics

  University of Chicago

  2005

• M.S., Statistics

  University of Chicago

  2001

• B.A., Mathematics

  University of California, Berkeley

  1997

Awards & honors

• IPR Fellow

Similar researchers at Northwestern University

• Thomas Severinih-23
• Kaize Dingh-22
• Miklos Z Raczh-21