The LPRC is a diverse community of scholars, researchers, and students who are dedicated to advancing the fields of learning and performance through rigorous research, innovative practices, and collaborative partnerships. Our faculty members are world-renowned experts in their respective fields, while our student leaders and lab participants represent some of the brightest and most promising minds in education and psychology. We also invite you to learn more about our Faculty Affiliates program, which offers opportunities for individuals and organizations to become involved in our research and activities.
Graduate students are essential to the work of the LPRC, and LPRC faculty work hard to provide meaningful experiences for graduate student development. Graduate students in the LPRC gain real-world experience with presenting at academic conferences, writing for publication, and interacting with clients and stakeholders. Throughout this process, students develop methodological expertise that will equip them to address today’s challenges in education.
Thao is Ph.D. Candidate in the Educational Psychology program. Her research focuses on advancing socially just measurement approaches and research methodologies.
Psychometrics, Computerized Adaptive Testing, Mixture Modeling, Automated Essay Scoring, and Data Science
Laura Pires Gifford
Psychometrics, research methodology, educational measurement, cross-cultural research.
Onur Ramazan is currently a doctoral candidate in the Educational Psychology program at the College of Education, Washington State University. His research interests include large-scale assessments, multilevel modeling, machine learning, psychometrics, measurement invariance, and differential item functioning.
Olasunkanmi Kehinde is a Washington State University doctoral candidate in Educational Psychology with a background in applied mathematics and statistics. His research interests include Assessment and Measurement, Psychometrics, Large Scale Assessment, Cognitive Diagnostic Models (CDMs), Multilevel Modeling, and Structural Equation Modeling.
Antranik Tony Kirakosian
Antranik Tony Kirakosian is currently a doctoral student in Washington State University’s PhD in Educational Psychology program. Research interests include attitudes toward math, motivational factors in math education, large-scale educational data, multilevel modeling, factor analysis, measurement invariance, and item response theory (IRT).
Chloé G. R. Dydasco
Learning sciences, executive functioning and motivation, STEM learning, cross-cultural studies.
Cultural responsive teaching, teaching and learning motivation, equity and social justices in classroom assessment, multilevel modeling, and strength-based approach
Cognition in learning, self-regulated learning, and learning in higher education
Elise Lonnie Unruh-Thomas
Learning theories, cognitive effects on learning, and educational assessments
Science Education, WSU Pullman
Educational Psychology, Ball State University
Special Education, WSU Pullman
Psychology, WSU TriCities