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 an 18-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. Courses recently taught: EDF 5400 Basic Inferential and Descriptive Statistics; EDF 5404 Bayesian Data Analysis; EDF 5448 Scale and Instrument Development; EDF 5484 Educational Data Analysis; EDF 6937 Missing Data Analysis
  • Betsy Becker: Meta-analysis methods, large-scale assessment, and teacher qualifications. Courses recently taught: EDF5401 General Linear Models; EDF7489 Meta-analysis; EDF6937 Survey Research
  • Insu Paek: Psychometric methods, item response modeling, and test score equating. Courses recently taught: EDF 5401 General linear modeling; EDF 5402 ANOVA; EDF 5432 Measurement Theory I; EDF 5434 Measurement Theory II
  • Yanyun Yang:  Factor analysis, structural equation modeling, psychometrics. Courses recently taught: EDF 5406 Multivariate Analysis Applications; EDF 5409 Causal Modeling; EDF 6937 Advanced Structural Equation Modeling; EDF 6937 Measurement Invariance Analysis
  • Qian Zhang:  Longitudinal data analysis, multilevel modeling, missing data problems, and Bayesian analysis. Courses recently taught: EDF 5401 General linear modeling; EDF 7418 Multilevel Modeling; EDF 6937 Longitudinal Data Analysis
  • Salih Binici: Test theory, large-scale assessment, and multilevel modeling. Binici is head of the Psychometric Office at the Florida Department of Education. Courses recently taught: 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; EDF 6057 Large-Scale Assessment