EDPSY 593 Experimental Design/Analysis of Variance
This intensive course focuses on design and analysis of quantitative experiments, including fixed, random, and mixed analyses of variance as well as multiple comparison procedures. SPSS software used. Pre-requisites: EDPSY 490 or equivalent. Recommended for graduate students who will be actively consuming or conducting experimental or quasi-experimental research in their program, as well as those who will be taking more advanced coursework in multilevel or structural equation modeling.
EDPSY 592 Advanced Educational Measurement
This course focuses on classic test theory, including methods of evaluating reliability and validity of items contained in assessments and surveys. SPSS software used. Pre-requisites: EDPSY 490 or equivalent. Recommended for graduate students who will be working with or developing educational assessments as part of their research.
EDPSY 591 Educational Research Methods
This course focuses on experimental and quasi-experimental research design methods, as well as APA writing standards. Discussions include applied readings in social science research. Pre-requisites: EDPSY 490 or equivalent. Recommended for beginning graduate students who need a broad overview of quantitative research methods, context for consuming research, and APA writing standards.
EDPSY 588 Survey Research Methods
This course focuses on all aspects of survey research design, including sampling strategies and the science of instrument development. Pre-requisites: EDPSY 490 or equivalent. Recommended for graduate students who will be working with or developing surveys as part of their research.
EDSPE 511 Methods of Applied Behavior Analysis Research
Characteristics of applied behavior analysis research are presented: direct, daily measurement, and the systematic investigation of important variables. The primary logic of single subject design and the establishment of experimental control are reviewed. Representative studies from various applied situations are discussed in terms of dependent and independent variables, research design, reliability, validity, and data analysis. Pre-requisites: graduate standing in Education or permission of instructor.