LabCompass

Sijia Huang

Decision Sciences · Indiana University

Publications

31

Citations

192

Est. group size

Recurring co-author estimate

Active years

9

Publishing since 2018

Research summary
AI-generated

Sijia Huang works in psychometrics and educational measurement, developing statistical methods for analyzing test and survey data. A particular focus is on detecting bias in test items (differential item functioning) and modeling data with complex nested or cross-classified structures, as well as exploring connections between measurement and machine learning. The work also includes applied studies in areas such as autism assessment and relationship/health interventions.

Psychometric measurement methodsDifferential item functioning (test fairness)Item response theory and multilevel modelsMeasurement and machine learningApplied clinical and behavioral assessment

Publication activity has grown steadily over the last decade, rising from about one per year in the late 2010s to six or seven annually by 2024-2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 4.6/year recently
172018: 1 publication182019: 2 publications192020: 2 publications202021: 3 publications212022: 5 publications222023: 4 publications232024: 6 publications242025: 7 publications7252026: 1 publication26
Recent publications
Publishes in
  • Educational and Psychological Measurement×3
  • Elsevier eBooks×2
  • Multivariate Behavioral Research×2
  • IOP Conference Series Earth and Environmental Science×2
  • Chinese/English Journal of Educational Measurement and Evaluation×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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