Hello Educational Statisticians (EdStats) SIG members!

Welcome to both our returning and new members! The EdStats SIG is dedicated to fostering excellence and innovation in educational statistics. We warmly invite submissions from a diverse range of research interests, methodologies, and applications, reflecting the dynamic and interdisciplinary nature of educational statistics.

Areas of particular interest to our SIG include, but are certainly not limited to:

• Advanced Statistical Modeling: Techniques such as structural equation modeling, multilevel and longitudinal modeling, Bayesian methods, causal inference, and meta-analysis.
• Measurement and Psychometrics: Focus on measurement theory, measurement invariance, and psychometric evaluation.
• AI & Computational Data Science: Methods including machine learning, data mining, and research of LLM (e.g., GPT, BERT).

We also strongly encourage you to apply or nominate colleagues and students for our prestigious awards:

• Graduate Student Best Paper Award: Recognizing exceptional research contributions from emerging scholars.
• Annual Service Award: Honoring members who have significantly contributed to the success and vitality of our SIG.

Your active participation, submissions, and nominations help strengthen our vibrant community. We look forward to your contributions and another successful year ahead!

Warm regards,

Xinya Liang, Chair, Educational Statisticians SIG (2025-2026)
Associate Professor, University of Arkansas