Collegiate Affiliation
Psychology
Links
Data Analytics and Visualization Lab
Minnesota Population Center
New Faculty Member in Quantitative/Psychometric Methods
APS Rising Star Award 2021
NIH Grant Award
Dr. Marcoulides is an Associate Professor in the Quantitative and Psychometric Methods Program in the Department of Psychology at the University of Minnesota, Twin-Cities.  She is also a member of the Minnesota Population Center and was recently elected Co-Chair of the Structural Equation Modeling Special Interest Group for the American Educational Research Association. Prior to her arrival at UMN, she was an Assistant Professor in the Research and Evaluation Methodology Program in the College of Education and a member of the Informatics Institute at the University of Florida.  She received her B.A. in Psychology with a minor in Education from the University of California, Santa Barbara and her M.A. in Quantitative Psychology from the University of California, Davis.  She completed her Ph.D. in Quantitative Psychology from Arizona State University.
 
Research
My research focuses on the development and application of advanced modeling and data mining approaches for the analysis of complex psychological data, and considers ways in which various substantive domains within psychology can be studied through these analytic approaches.  I have developed and utilized data mining techniques to fit optimal structural equation and longitudinal models.  In addition to data mining techniques, another aspect of my research is in estimation issues within structural equation modeling (SEM).  I am also particularly interested in applying modeling techniques to study developmental and educational processes, with an emphasis on economically disadvantaged immigrant children.  My collaborative work with applied researchers in the Minnesota Population Center recently received 5-years of funding from the National Institute of Health to investigate ​​the complex associations among parenting, marginalization, and well-being during the COVID-19 pandemic.
 
Teaching
I teach undergraduate and graduate quantitative courses at the University of Minnesota, including Honors Introduction to Psychological Measurement and Data Analysis, Structural Equation Modeling for the Social and Behavioral Sciences, and Multilevel Modeling for Psychological Data.   At the University of Florida I taught graduate courses in Regression Analysis, Data Mining, and Multilevel Modeling.  I have taught an Introduction to Educational Data Mining workshop at the Florida Educational Research Association (FERA) annual conference.  I have also previously assisted and presented at the APA Advanced Training Institute workshops on Big Data: Exploratory Data Mining in Behavioral Research and Structural Equation Modeling in Longitudinal Research. 
Educational Background & Specialties
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Educational Background

  • PhD: Quantitative Psychology, Arizona State University
  • MA: Quantitative Psychology, University of California, Davis
  • BA: Psychology Major, Education Minor, University of California, Santa Barbara

Specialties

  • Statistical learning and data mining
  • models for longitudinal data
  • big data analytics and modeling
  • Item response theory
  • Multilevel Modeling
  • Factor Analysis
  • Structural Equation Modeling
  • Longitudinal data analysis
  • Data fusion
  • Research Methodology and Statisitcal Analysis
  • R programming and data analysis
  • Integrative data analysis
  • growth and development