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Conceptual/philosophical methods course. The idea that human beings can scientifically interpret how other human beings understand their life-experience has fascinated philosophers in the west sine the 19th century. Interpretive research interests philosophers, because it “pushes” traditional philosophical conceptions about scientific knowledge, methodology, self-understanding, and ethics. At the same time, researchers who undertake interpretive fieldwork often find themselves pondering classic philosophical questions. How do we interpret what we see?

This course covers test reliability and validity, score interpretation, test administration, and issues/ethics in testing. Pre-requisites: EDPSY 490 or equivalent. Recommended for undergraduates needing QSR credits and software experience, as well as graduate students who are strongly affiliated with qualitative methods and/or who are unable to take the more intensive EDPSY 592 course.

This course covers widely used ANOVA and regression techniques, and includes applied data analysis with SPSS software as well as applied readings in social science research. Pre-requisites: EDPSY 490 or equivalent. Recommended for undergraduates needing QSR credits and software experience, as well as graduate students who are strongly affiliated with qualitative methods and/or who are unable to take the more intensive EDPSY 593/594 courses.

This course covers the foundational language and concepts in educational statistics, including measurement scales, sampling distributions, 2-group t/z/chi-square tests, and introduction to one-factor ANOVA and simple regression. Pre-requisites: proficiency in basic algebra. Open to all UW and non-matriculated students with at least a sophomore undergraduate standing.

This upper-level course focuses on data analysis methods for research involving fixed and random factors and where one or more factors are nested (non-independent) including individuals within clusters, time within individuals (growth modeling) measures within studies (meta-analysis) and multiple membership models (cross-classified). A variety of software is presented, including HLM, SAS, and SPSS. Pre-requisites: EDPSY 593 or 594, or equivalent. Recommended for graduate students who will be actively consuming or conducting quantitative research with nested data.

This upper-level course explores IRT models and their roles in the development of large scale educational and psychological tests. A variety of software is presented, including Bilog, Parscale, and Winsteps. Pre-requisites: Edpsy 592 and 594, or equivalent. Recommended for graduate students who will be actively consuming or developing high-quality assessment measures.

This upper-level course focuses on data analysis methods for research involving a variety of simple and complex latent factor structures, including confirmatory factor analysis, path models, growth models, and latent class and trait models. A variety of software is presented, including Amos, EQS, and Mplus. Pre-requisites: EDPSY 594 or equivalent. Recommended for graduate students who will be actively consuming or conducting quantitative research involving causal theoretical models.

This intensive course focuses on analyzing data collected from surveys, quasi-experiments, or experiments with a major emphasis on multiple linear and logistic regression (and introduction to exploratory factor analysis). SPSS software used. Pre-requisites: EDPSY 490 or equivalent. EDPSY 593 helpful but not necessary. Recommended for graduate students who will be actively consuming or conducting quantitative research with secondary data or survey data, as well as those who will be taking advanced coursework in multilevel or structural equation modeling.

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.

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.