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Rasheed Dawuda
Rasheed Dawuda
Summary Statement

Rasheed's research focuses on quantitative methodology and the analysis of complex social and developmental data, with particular interest in longitudinal data analysis, dynamic systems modeling, structural equation modeling, multilevel modeling, and Bayesian methods.

Department
  • Graduate Student
Education
  • Ph.D. in Human Development and Family Studies, Pennsylvania State University, University Park, PA — 2026–present
  • M.Sc. in Applied Statistics, Kwame Nkrumah University of Science and Technology (KNUST), Ghana — 2021
  • B.Sc. in Actuarial Science, University for Development Studies (UDS), Ghana-2010
  • Diploma in Education, University of education Winneba, Ghana-2016
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Research Interests

Rasheed's research interests focus on quantitative methodology and the analysis of complex social and developmental data. He is particularly interested in longitudinal data analysis, dynamic systems modeling, structural equation modeling, multilevel modeling, Bayesian methods, and simulation-based approaches. He is also interested in developing and applying statistical methods to better understand patterns of change, individual differences, and dynamic relationships in human development and social processes over time.

Professional Experience

Department roles:

  • Graduate teaching assistant, Department of Human Development and Family Studies, Penn State University — 2026–present
Publications
  • Rasheed, D., & Appiah, S. K. (2023). Vector Autoregressive Model of Maize Production in Northern Region of Ghana. Asian Journal of Agricultural Extension, Economics & Sociology, 41(11), 299–311. https://doi.org/10.9734/AJAEES/2023/v41i112287