Psychological & learning sciences

Quantitative methods.
Human understanding.

The PsycheMatrica Lab develops and evaluates psychometric and statistical methods for studying the human psyche—its nature, structure, dynamics, and development. Our name combines the Greek psychē (mind or soul) with matrica, a coined form inspired by the Latin matrix (source or underlying structure). The name also evokes the mathematical matrix, reflecting our use of data and mathematical models to represent and analyze psychological and learning phenomena. Together, these meanings express our mission to develop models that enable rigorous measurement and empirical investigation of how people think, feel, believe, learn, and act. We make these methods accessible to researchers and pursue collaborative empirical research with substantive-area experts.

Conceptual portrait formed from a geometric mesh, empirical points, and a matrix grid, representing human understanding through quantitative inquiry.
Human understanding through quantitative inquiry.
Conceptual illustration
Psychometrics · Structural Equation Modeling · Explainable AI · Empirical Studies

How we work

Methodological questions.
Empirical discipline.

Research directions

Selected work

Research in the open

All publications

Research software

From theory to practice.

All software

Supplementary tool: TestSEM Pro for Monte Carlo evaluation of SEM estimators.

A longer view

Knowledge in service
of human judgment.

We seek to help people understand themselves, learn well, and exercise independent judgment in the age of AI.

Privacy, autonomy, and careful empirical evaluation guide our long-term research vision.

Our mission and vision ↗

News & announcements

From the lab.

All news
People & Lab News

PsycheMatrica Lab Launches Its Official Website

We are pleased to announce the launch of the official PsycheMatrica Lab website. The website introduces our mission and research directions in quantitative methodology for psychological …

People

Inquiry is collaborative.

Led by GyeongCheol Cho, Assistant Professor, Quantitative Psychology at The Ohio State University.

Meet the lab ↗

Connections

Bring a substantive question.

We collaborate with domain experts to develop and evaluate methods in the contexts where they matter.

Research with us ↗