LabCompass

Anne Traynor

Social Sciences · Purdue University West Lafayette

Established · publishing since 1999

Publications

40

Citations

734

Est. group size

Recurring co-author estimate

Active years

28

Publishing since 1999

Research summary
AI-generated

Anne Traynor works in educational and psychological measurement, focusing on how tests, rubrics, and classroom assessments are designed, validated, and used to evaluate student learning. Her work spans topics such as test-to-curriculum alignment, cognitive diagnostic modeling, rubric use, and predictive validity of aptitude tests, often applied to K-12 education, workforce selection (e.g., pilot performance), and specialized populations like students with disabilities or gifted learners. This research is largely methodological, developing and testing statistical and psychometric tools that can be applied across educational and organizational settings.

Educational measurement and psychometricsTest validity and alignment with curriculum standardsAssessment tools and rubrics in classroomsCognitive diagnostic and item response modelingPredictive validity in selection and performance testing

Publication output was relatively higher from 2017-2019 and has since settled into a steadier, somewhat lower pace of roughly two to three papers per year through the mid-2020s.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.4/year recently
2017: 3 publications172018: 5 publications5182019: 5 publications5192020: 3 publications202021: 1 publication212022: 3 publications222023: 2 publications232024: 2 publications242025: 3 publications252026: 2 publications26
Recent publications
Publishes in
  • Applied Measurement in Education×3
  • Education Sciences×2
  • Motivation and Emotion×1
  • Learning and Individual Differences×1
  • Frontiers in Veterinary Science×1
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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 20, 2026.

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