LabCompass

Leslie Rutkowski

Social Sciences · Indiana University

OpenAlex ORCID
School Choice and PerformancePsychometric Methodologies and TestingAdvanced Causal Inference TechniquesEvaluation and Performance AssessmentStatistical Methods and Bayesian Inference

Publications

96

Citations

3,108

Est. group size

~1

Recurring co-author estimate

Active years

21

Publishing since 2006

Research summary
AI-generated

Leslie Rutkowski studies how large-scale educational tests and assessments are designed, measured, and analyzed to compare student performance across many groups and countries. The work focuses on statistical methods for making these comparisons fair and accurate, including techniques for testing whether an assessment measures the same thing across different populations. Related topics include gender gaps in schooling and methods for estimating cause-and-effect relationships in education data.

Large-scale educational assessmentPsychometrics and measurement invarianceStatistical and causal inference methodsEducational testing designComparative education and achievement gaps

Publication activity has been fairly steady across the decade, averaging about six papers per year over the last five years, with a notable peak in 2023.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 6.0/year recently
2017: 5 publications172018: 6 publications182019: 8 publications192020: 3 publications202021: 3 publications212022: 6 publications222023: 14 publications14232024: 3 publications242025: 6 publications252026: 1 publication26
Recent publications
Publishes in
  • Large-scale Assessments in Education×9
  • Springer international handbooks of education×4
  • Journal of Educational Measurement×3
  • Journal of Educational and Behavioral Statistics×3
  • Structural Equation Modeling A Multidisciplinary Journal×2

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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