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Yasuo Miyazaki

Yasuo Miyazaki, Professor

Yasuo Miyazaki, Professor
Yasuo Miyazaki, Professor

School of Education
1750 Kraft Drive, Room 2107
Blacksburg, VA 24061
540-231-9731 |

Professor Yasuo Miyazaki is interested in developing a new statistical and measurement modeling methodology and/or improving current methodology for the most pressing issues that plague behavioral and social scientists to answer the important questions. Miyazaki considers one of the most pressing problems in behavioral and social sciences to lie in the measurement of key variables in research since many of them are phrased in abstract terms such as ability, anxiety, social skills, and school climate, as they cannot be directly observed.  

Since human development through formal education occurs in school contexts, it is also important to consider the validity and reliability of measurements at teacher and school level as well as the individual level constructs. Because of the hierarchical nature of educational settings, Miyazaki has been focusing on the methodology and applications surrounding Hierarchical Linear/Nonlinear Modeling (also known as Multilevel Modeling), a useful methodology for studying phenomena that occur in multilevel contexts.

Hierarchical Linear/Nonlinear Modeling shares a common theme with other major methodologies used in behavioral and social sciences, such as structural equation modeling and Item Response Theory. The common theme he has found is the use of latent variables. Thus he is making efforts to combine and integrate Hierarchical Linear/Nonlinear Modeling with the structural equation modeling and Item Response Theory to develop new and improved methodology and applications.

Miyazaki is currently tackling several specific topics:

  • A longitudinal growth model from item level data;
  • Measurement model to capture the organizational climate;
  • Contextual/compositional effects in organizational research; and
  • Impacts of nested data structure on Item Response Theory model parameters.
  • Multilevel Modeling
  • Growth Modeling / Longitudinal Data Analysis
  • Reliability and Meta-analysis Model for Reliability Coefficients
  • Multilevel Measurement Model
  • Multilevel Factor Model
  • PhD, Michigan State University
  • Editorial Board: Behaviormetrika
  • Ad-hoc Reviewer for Refereed Journals: Psychological MethodsApplied Psychological Measurement, Journal of Applied MeasurementBehaviometrikaJournal of Educational and Behavioral Statistics
  • Session discussant, chair, and moderator in professional organization conferences: the Annual Meeting of for the National Council on Measurement in Education, 2010; the Annual Meeting of the American Educational Research Association, 2006; the International Meeting of the Psychometric Society, 2009, 2011. 
  • Reviewer of Annual Meeting paper proposals: American Educational Research Association, National Council on Measurement in Education.
  • Excellence in Access and Inclusion Award, Virginia Tech Students with Disabilities Office and the Office for Diversity and Inclusion, April 22, 2014
  • Virginia Tech School of Education Teaching Excellence Award, April 2012

Journal Articles

Miyazaki, Y., & Sugisawa, T. (in press). A simulation study on appropriate transformations of reliability coefficient in mixed-effects meta-analysis models. Japanese Journal for Research on Testing

Miyazaki, Y., and Stack, M. (2015). Examining individual and school characteristics associated with child obesity using a multilevel growth model (in press). Social Science & Medicine128, 57-66. 

Agnich, L. E., & Miyazaki, Y. (2013). A multilevel cross-national analysis of direct and indirect forms of school violence. Journal of School Violence12(4), 319-339. 

Kamata, A., Bauer, D. J., & Miyazaki, Y. (2008). Multilevel measurement modeling. In A. A. O’Connell, & D. B. McCoach (Eds.). Multilevel Modeling of Educational Data (pp. 345-388). Charlotte, NC: Information Age Publishing.    

  • Lawson, Gerard (Principal Investigator), Patrizio, Kami M (Co-Principal Investigator), Miyazaki, Yasuo(Co-Investigator), Skaggs, Gary (Co-Investigator), "A Multiple Perspectives Analysis of the Influences on the School to Prison Pipeline in Virginia," Sponsored by National Institute of Justice, $914,241.00. (January 1, 2016 – December 31, 2017).
  • White, S. (PI), Asselin, S. (Co-PI), Miyazaki, Y. (Co-PI), "STEPS: Stepped Transition in Education Program for Students with ASD," Sponsored by NIMH, $666,498. (September 1, 2014 – August 31, 2017). 
  • Miyazaki, Y. (PI) & Creamer, E. (Co-PI). Investigating the accuracy of standard error of ability and necessary number of items using HLM to study K-12 and health and education practices (2015). 2015 - 2016 Niles Research Grant Award from the College of Liberal Arts and Human Sciences at Virginia Tech, $3,796. 

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