William (Hank) Murrah

Associate Professor


photo of William (Hank) Murrah

Office: 4064 Haley

Units: Department of Educational Foundations, Leadership, and Technology

Campus Mail: 4036 Haley Center

Email: wmm0017@auburn.edu

Phone: (334) 844-3806


Academic Areas

Educational Psychology

Educational Research, Measurement, and Assessment


Short Bio

Dr. Murrah is an Associate Professor of Quantitative Methods at Auburn University. He teaches introductory and advanced research methods courses in the College of Education. His expertise is in cognitive development and learning. His research is focused on understanding how our early experiences, motor learning, motivation, and emotions impact how we learn and think in formal and informal educational settings. He uses large scale data sets including Early Childhood Longitudinal Studies (ECLS) and the National Longitudinal Study of Youth (NLSY), and is currently also working with the Adolescent Brain Cognitive Development (ABCD) data.

Dr. Murrah is a Co-Founder of the Quantitative Methods in Educational Research (QMER) learning community, and is a co-director of the SCALES Lab.

Prior to joining Auburn University Dr. Murrah earned his Ph.D. in Educational Psychology from the University of Virginia, where he also completed a postdoctoral fellowship and worked as a research scientist.

Education

M.Ed. in Counseling, 1997, University of Montevallo

B.S. in Psychology, 1994, University of Montevallo

Ph.D. in Educational Psychology, University of Virginia


Professional Experience

2021 - present

Associate Professor, Auburn University

2016 - 2021

Assistant Professor, Auburn University

2013 - 2016

Research Scientist, University of Virginia

2010 - 2013

Postdoctoral Fellow, University of Virginia


Research Interests

Dr. Murrah' research interests focus on two primary areas: experimental design and
secondary data analysis. He has worked as a primary methodologist on four randomized
controlled trials evaluating interventions aimed at promoting STEM related cognitive skills, student motivation, reading skills and socioemotional skills. His work with secondary data analysis focuses on using large-scale nationally representative data sets to understand the development of academic skills in disadvantaged and at-risk students.

Links

  Hank Murrah's Research Website

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