Measurement and Statistics

Ranked as one of the top 20 Educational Psychology graduate programs in the country, our Measurement and Statistics program will prepare you to work with data and the statistical and measurement tools to perform vital educational measurements. These measurements inform us about schools, students, teachers and how they perform. The program will prepare leaders in educational research to serve in various types of professional positions related to collecting, analyzing and interpreting educational statistics.

For those interested in conducting these important educational measurements, statistics, and assessments, Florida State offers both a master’s degree (online and on campus) and a doctoral degree. The master’s degree in Measurement and Statistics provides a theoretical and research background, but its emphasis is on building preliminary skills in educational measurement theory, statistical analysis, and evaluation. This degree can also complement a higher degree in a related discipline, such as Educational Leadership and Policy Studies, Educational Psychology, or Instructional Systems and Learning Technologies. We also offer a 15-credit hour graduate certificate in Measurement and Statistics.

The Ph.D. in Measurement and Statistics emphasizes both advanced instruction and direct experience with educational measurement and applied statistics issues. Doctoral students develop and investigate the properties of statistical and psychometric techniques, or study challenging problems of assessment and educational data analysis in real-world contexts. Some students obtain hands-on psychometric experience via our internship program with the Florida Department of Education.

Finally, the Measurement and Statistics program staffs the College’s Statistical and Research Design Consulting Service. The Statistical and Research Design consultants help graduate students work on their dissertation research, solve study design issues, suggest analytical techniques or even help interpret statistical analyses. The consultants are advanced students in our Measurement & Statistics program.

Learn more about the research and teaching interests of our Measurement & Statistics faculty members by clicking on their names below:

  • Russell Almond:  Evidence-centered assessment design (ECD), Bayesian networks, Bayesian computation. Almond teaches EDF 5400 Basic Inferential and Descriptive Statistics, EDF 5404 Bayesian Data Analysis, EDF 5419 Missing Data Analysis, EDF 5448 Scale and Instrument Development, and EDF 5484 Educational Data Analysis.
  • Huan (Hailey) Kuang: Response process data (log data), computer-based assessment, machine learning, and personalized learning. Kuang teaches EDF 5400 Basic Inferential and Descriptive Statistics, EDF 5432 Measurement Theory I, EDF 5434 Item Response Theory, and EDF 6937 Machine Learning for Educational Research.
  • Yanyun Yang:  Factor analysis, structural equation modeling, psychometrics. Yang teaches EDF 5401 General linear modeling, EDF 5406 Multivariate Analysis Applications, EDF 5409 Causal Modeling, EDF 6937 Advanced Structural Equation Modeling, and EDF 6937 Measurement Invariance Analysis.
  • Qian Zhang:  Longitudinal data analysis, multilevel modeling, missing data problems, and Bayesian analysis. Zhang teaches EDF 5401 General linear modeling, EDF 7418 Multilevel Modeling, EDF 6937 Longitudinal Data Analysis, and EDF 6937 Mediation and Moderation.
  • Salih Binici: Test theory, large-scale assessment, and multilevel modeling. Binici is head of the Psychometric Office at the Florida Department of Education. Binici teaches EDF 5400 Basic Descriptive and inferential Statistics, EDF 5401 General Linear Models, EDF 5402 Advanced Topics in Analysis of Variance Applications, EDF 5435 Theory of Scaling and Equating, and EDF 6057 Large-Scale Assessment.