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Quantitative Methods in Educational and Psychological Research

 
 

Quantitative Methods in Educational and Psychological Research

The Quantitative Methods specialization of the Doctoral Program in Educational Psychology provides training in research methodology, applied statistics, psychometrics and quantitative approaches to solving research problems in education, psychology, and the social sciences. Students are prepared as researchers in academic and applied settings. Current and former students have been employed in research, measurement, and evaluation departments in educational institutions and state departments of education, in academic departments, and in industrial institutions.

Program of Study

Course offerings and research areas include Experimental Design and Analysis, Bayesian Statistics, Loglinear Models, Latent Structure Analysis, Structural Equation Models, Classical Test Theory, Item Response Theory, Test Construction and Development, Evaluation Research, Nonparametric Statistics, Missing Data Analysis, Hierarchical Linear Models and Classroom Assessment.Students typically take courses in programs other that Educational Psychology, e.g., probability and statistical theory courses in the Statistics Department at Baruch College. Courses may be taken in many other programs, including Linguistics (artificial intelligence), Sociology (survey design), Economics (time series, econometric methods), Anthropology (field research methods), Computer Science (statistical computing, artificial intelligence, cognitive systems), and Political Science (policy analysis).Applicants from a wide variety of academic disciplines are encouraged to apply, including (but not limited to) mathematics, physical sciences, psychology, education and economics.

Faculty

Sophia Catsambis, Howard Everson, Alan L. Gross (Emeritus), Keith Markus, David Rindskopf (Head, Distinguished Professor), Charles Scherbaum, Irvin Schonfeld and Carol Kehr Tittle (Emerita), Jay Verkuilen.