The semesters in which courses are usually open are noted below, but course offerings for each semester may vary from past trends depending on faculty availability, student interest or other administrative factors. Most REM courses (except EDF6403 and EDF6400) are department controlled, and therefore students have to contact the instructor to ask for authorization to register.
Click here for a chart of quantitative classes for non-REM majors in pdf.
Fundamentals of educational research, design of experimental, quasi-experimental and observational studies, quantitative data collection methods; Offered in fall semesters.
Introduction to analysis of variance, regression and non-parametric methods applied to educational research; Offered in spring semesters.
Six-hour class covering the fundamentals of educational research, experimental design, and statistics. It covers the same contents of EDF6400 and EDF6402 combined; Offered in fall and spring semesters.
Development and analysis techniques for surveys. Methods of questionnaire development, sampling, pre-testing, data collection, analysis and reporting; Offered in fall semesters.
Design and analysis of experiments in educational research. It provides a more in-depth coverage of analysis of variance than EDF6402 or EDF6403; Offered in spring semesters of even-numbered years.
Introduction to classical test theory, reliability, validity, norms, scaling, item analysis, and the basic elements of instrument construction; Offered in spring semesters.
Regression analysis applied to educational research; Offered in fall and spring semesters.
Introduction to path analysis, confirmatory factor analysis and structural equation models; Offered in fall semesters.
Methods for conducting methodological research about structural equation modeling (SEM) and advanced techniques in SEM; Offered in spring semesters of even-numbered years.
Introduction to multivariate methods of data analysis: multivariate analysis of variance, discriminant function analysis, principal components analysis, canonical correlation analysis, multidimensional scaling, and cluster analysis; Offered in fall semesters of even-numbered years.
Development and analysis techniques for questionnaires and rating scales. Applications of psychometric models to item, scale, and rater evaluation; bias detection; factor analysis; and measurement of change; Offered in spring semesters of odd-numbered years.
Psychometric models for test scores; estimation of ability and item parameters; differential item functioning, equating, computerized adaptive testing, current issues in item response theory; Offered in fall semesters of even-numbered years.
Methods for analysis of multilevel (i.e. nested) data; Offered in spring semesters.
Examining quasi-experimental educational research designs and methods for data analysis for treatment comparisons that do not use random assignment of participants to conditions; Offered in spring semesters of odd-numbered years.
Models and methods for formative and summative evaluation of educational products and programs; Offered in fall semesters.
Introduction to philosophical, historical, sociological, and other methodologies as aspects of qualitative educational research; Offered in fall and spring semesters.
This course on qualitative data collection addresses both theoretical and practical dimensions of conducting qualitative research. The course will present an overview of various methods including interviews, focus groups, observations, artifact collection, mapping, online methods, experience sampling method, and oral history; Offered in fall semesters.
This course is designed to assist students in developing skills at qualitative data analysis and qualitative data representation. Furthermore, this class will focus on various qualitative data analysis techniques (e.g., thematic analysis, grounded theory, narrative analysis, discourse analysis, phenomenological analysis, archaeology, rhizoanalysis, and various visual analysis methods) and it will examine the ways in which different theories can inform and guide the analysis and interpretation of data; Offered in Spring semesters.