Matthew J. Madison

Matthew J. MadisonMatthew J. MadisonMatthew J. Madison
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Matthew J. Madison

Matthew J. MadisonMatthew J. MadisonMatthew J. Madison
  • Home
  • LEAP Lab
  • Research
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LEAP LAB logo with DNA design and slogan.

LEAP Lab

The LEAP (Learning, Exploring, and Advancing Psychometrics) Lab was established in 2021 and is located in the Mary Frances Early College of Education at the University of Georgia. We are a team of researchers interested in psychometrics, educational measurement and assessment, and quantitative methodologies with a focus on applications in educational research. We emphasize the L-E (learning and exploring) in all lab activities, including applied and methodological research, qualitative fieldwork, professional development, conference travel, and interviews with various scholars. Contact me if you are interested in getting involved with the lab.

LAB MEMBERS

Name: Matthew Madison (Lab Director; he/him/his)

Research interests: diagnostic measurement, longitudinal measurement, K - 12 assessment

Hobbies: golf, basketball, exercise, puzzles, true crime

Hometown/country: Columbia, South Carolina, United States

Contact: mjmadison@uga.edu

Name:  Nancy Alila (she/her/hers) 

Education: B.Sc. in Mathematics and Economics (Karatina University, Kenya); M.Sc. in Applied Statistics (West Chester University of Pennsylvania)

Program: Ph.D. in Measurement, Data Science, and Statistics 

Research Interests: Bayesian statistics, structural equation modeling, diagnostic classification models, the application of machine learning and data mining techniques in psychometric research

Hobbies: exercising, traveling, reading, and playing tennis

Hometown/country: Migori, Kenya

Contact: nancy.alila@uga.edu

Name: Ashley Heady (she/her)

Education: B.S. In Supply Chain, Information, and Analytics (Purdue University);  M.Ed. in Measurement and Evaluation (Teachers College, Columbia University)

Program: Ph.D. in Measurement, Data Science, and Statistics 

Research Interests: item response theory, psychometrics, and diagnostic classification models 

Hobbies: weather watching, card games, cooking, sewing, & traveling

Hometown/Country: Arlington, Indiana, United States 

Contact: ashley.heady@uga.edu

Name:  Beltrán Pantoja De Prada (he/him/his)

Education: B.A. in Mathematics Teaching (Universidad Alberto Hurtado, Chile), M.Ed. in Learning Assessment (Pontificia Universidad Católica de Chile)

Program: Ph.D. in Measurement, Data Science, and Statistics 

Research Interests: educational measurement, diagnostic classification models

Hobbies: reading, drawing, watching tv shows.

Hometown/country:  Santiago, Chile

Contact: bpp09644@uga.edu 

LEAP Lab Projects

 Diagnostic Instrument for Teachers' Content and Pedagogical Content Knowledge of Numbers and Operations (2024 - 2028). Institute of Education Sciences. 


Generalized, Multilevel, and Longitudinal Psychometric Models for Evaluating Educational Interventions (2022 – 2026). Institute of Education Sciences.


CT-STEM Pop-Ups4All: An RPP for Agile Learning (2020 – 2024). National Science Foundation.


Native STEM Portraits: A Longitudinal, Mixed-Methods Study of the Intersectional Experiences of Native Learners and Professionals in STEM (2020 – 2025). National Science Foundation.


A Family of Diagnostic Models for Evaluating Learning Progressions (2019 – 2024). National Science Foundation.


Doubly Mixture Psychometric Models for Modeling Learning Progressions (2021 – 2023). UGA Faculty Seed Grants.

LEAP Lab Research Products

Publications

Madison, M. J., Jeon, M. Cotterell, M. E., Haab, S., & Zor, S. (2025). TDCM: An R package for estimating longitudinal diagnostic classification models.        Multivariate Behavioral Research, 60(3), 518 – 527. https://doi.org/10.1080/00273171.2025.2453454.   


Schellman, M., & Madison, M. J. Estimating the reliability of skill transition in longitudinal diagnostic classification models. (2024). Journal of Educational and        Behavioral Statistics. https://doi.org/10.3102/10769986241256032. 


Madison, M. J., Wind, S. A., Maas, L., Yamaguchi, K., & Haab, S. (2024). A one-parameter diagnostic classification model with familiar properties. Journal of        Educational Measurement. https://doi.org/10.1111/jedm.12390. 


Maas, L., Madison, M. J., Brinkhuis, M. J. S. (2024). Properties and performance of the one-parameter log-linear cognitive diagnosis model. Frontiers in        Education. https://doi.org/10.3389/feduc.2024.1287279. 


Presentations

Heady, A., Madison, M. J., & Thais, S. (2026, July). Psychometric Models & the Evaluation of Generative AI Performance. Paper presented at the 2026 Annual       Meeting of the Psychometric Society in Seoul, Republic of Korea. 


Heady, A., Pantoja, B., Alila, N., & Madison, M. J. (2026, July). Systematic review of Q-matrix validation methods for diagnostic classification models. Poster        presented at the 2026 Annual Meeting of the Psychometric Society in Seoul, Republic of Korea. 


Pantoja, B., Heady, A., & Madison, M. J. (2026, July). Empirical blueprint in unidimensional item response theory. Poster presented at the 2026 Annual Meeting        of the Psychometric Society in Seoul, Republic of Korea. 


Mireles, N., & Madison, M. J. (2025, April). Evaluating 1-PLCDM Test Blueprints Robustness to DIF. Paper presented at the 2026 Annual Meeting of the National        Council on Measurement in Education in Los Angeles, CA.


Madison, M. J.,Adeleye, O., Alila, N., Heady, A., & Pantoja, B. (2026). On the robustness of the one-parameter log-linear cognitive diagnosis model. Paper presented at        the 2026 Annual Meeting of the National Council on Measurement in Education in Los Angeles, CA.


Alila, N. & Madison, M. J. (2026). Developing adaptive fit index thresholds for diagnostic classification models using machine learning. Paper presented at the 2026        Annual Meeting of the National Council on Measurement in Education in Los Angeles, CA.

  

Schellman, M., & Madison, M. J. (2025, April). Enhancing accuracy in student growth measurement: Adjusting diagnostic growth percentiles. Paper presented at the        2025 Annual Meeting of the National Council on Measurement in Education in Denver, CO.


Madison, M. J., Alila, N. (2025, April). Diagnostic assessment design with blueprint specifications. Paper presented at the 2025 Annual Meeting of the National        Council on Measurement in Education in Denver, CO.

  

Morris, A., & Madison, M. J. (2024, April). Exploring the impact of culturally-relevant assessment material on black students' reading comprehension. Poster        presented at the 2024 Annual Meeting of the National Council on Measurement in Education in Philadelphia, PA.


Haab, S., & Madison, M. J. (2024, April). Continuous effect loglinear diagnostic classification model: Incorporating general continuous effects in the LCDM. Poster        presented at the 2024 Annual Meeting of the National Council on Measurement in Education in Philadelphia, PA.

LEAP Lab Alumni

Sergio Haab, M.A. 2023; Doctoral student, University of Iowa

Lientje Maas, Ph.D. 2023 (Utrecht University); Psychometric Researcher, CITO, The Netherlands

Selay Zor, Ph.D. 2023; National Education Expert, Ministry of Education, Turkey

Armani Morris, M.A. 2024; Statistical and Research Analyst, Children’s Law Center, University of South Carolina

Ye Yuan, Ph.D. 2024; Associate Psychometrician, Graduate Management Admission Council 

Madeline Schellman, Ph.D. 2024; Research & Psychometric Services Analyst, Navvy Education

Oluwatosin Adeleye, M.A. 2025; Assessment Specialist, Action Behavior Centers 

Al Moore, M.A. 2025; Educational Research Consultant 

Anastasia Kreisel, M.A. 2026 (expected); Academic Coordinator, Northeastern University 

Copyright © 2024, Matthew J. Madison. All Rights Reserved.

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