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The Department OF Educational Psychology


The Department of Educational Psychology (EPSY) is home to a variety of interrelated disciplines and degree options focused on human development and well-being in educational and community contexts. Our undergraduate programs prepare students to work with children and youth in a variety of community and school contexts. We also offer a range of professional master’s degrees geared towards professionals in schools, communities, and the corporate world. For those interested in doctoral studies we offer Doctor of Philosophy (Ph.D.) degrees in Educational Psychology, Counseling Psychology, and School Psychology.

Program Areas to choose from

Educational Psychology, US News & World Report 2023

Number of Online Courses Available

Former Student Highlight


Educational Psychology Programs

Educational-Psychology-Teacher-Student

UNDERGRADUATE STUDIES

EPSY offers a Bachelor of Science (B.S.) in Education and University Studies, with one of three focuses.

Educational-Psychology-Camp-Student

Graduate Programs

The department of Educational Psychology offers a range of professional graduate degree programs.

Educational-Psychology-Teacher-Students

ONLINE EDUCATION

EPSY offers a wide variety of online programs and courses to many the diverse needs our students.

Educational Psychology Teacher Teaching Students

Certificates

Undergraduate students have the opportunity to complete certificate programs while completing their degree requirements.

Educational Psychology

Research & Outreach

Educational Research and Evaluation Laboratory

About Us


The Educational Research and Evaluation Laboratory (EREL) features 10 computers with select statistical software — Mplus, RStudio, SPSS, and Stata — available for use, in addition to three machines reserved for Research, Measurement, and Statistics faculty and graduate student use. We also offer consultation on:

  • Quantitative research questions
  • Statistical analyses
  • Statistical software and computer code

Lab Hours


718 Harrington Lab

Virtual Statistical & Quantitative Methods Help  Available Now
For assistance, click the “Join our Zoom channel!” button below. Follow the directions to be added to the Zoom channel where you can communicate with graduate assistants in the lab.

In-person appointments are available with advanced scheduling. Contact lab graduate assistants through the Zoom channel or e-mail them directly at the addresses listed below to make an appointment.

Fall 2024 Hours

Monday:

  • 9 a.m. – 1 p.m. (Naike)
  • 1 p.m. – 3 p.m. (Xiaoyu)
  • 3 p.m. – 5 p.m. (Lu)

Tuesday:

  • 9 a.m. – 11 a.m. (Naike)
  • 11 a.m. – 5 p.m. (Olukayode)

Wednesday:

  • 9 a.m. – 1 p.m. (Lu)
  • 1 p.m. – 5 p.m. (Xiaoyu)

Thursday:

  • 9 a.m. – 1 p.m. (Lu)
  • 1 p.m. – 5 p.m. (Xiaoyu)

Friday:

  • 9 a.m. – 1 p.m. (Naike)
  • 1 p.m. – 5 p.m. (Olukayode)

Download Fall 2024 Schedule


Lab Graduate Student Assistants

Olukayode Apata
apata.olukayode@tamu.edu
Olukayode Apata is a third-year Ph.D. student in Research, Measurement, and Statistics, at Texas A&M University. He has a master’s degree in educational studies at the University of Southern Mississippi. He also received another master’s degree in educational evaluation from the University of Ibadan, Nigeria. He has a bachelor’s degree in physics education at Adekunle Ajasin University, Nigeria. His research interests are Artificial Intelligence in education and STEM education research.

Lu Chen
lu.chen@tamu.edu
Lu Chen is a doctoral student in Educational Psychology with a focus on Research, Measurement, and Statistics. Lu’s primary research interests include longitudinal studies and multilevel modeling.

Naike Wang
wangnaike@tamu.edu
Naike Wang is a PhD Candidate in the Educational Psychology Program (Research, Measurement, and Statistics). He specializes in meta-analysis and Bayesian statistics.

Xiaoyu Yang
xiaoyuyang2019@tamu.edu
Xiaoyu Yang is currently a second-year doctoral student in the Research, measurement, and Statistics program. My primary research interests focus on the development and application of advanced statistical techniques, particularly multilevel structural equation modeling, cross-lagged panel models, and the evaluation of model fit indices within SEM frameworks.

E-mail our graduate students: erel@tamu.edu

Software Access


Remote access to many software programs is available through the Virtual Open Access Lab (VOAL). Both quantitative software (e.g., JMO, SAS, SPSS, Stata) and qualitative software (e.g., Atlas. ti) are included.

Location


718J Harrington Education Tower 

EREL Leadership


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