Building upon their undergraduate advanced statistics coursework, students learn to interpret and evaluate research designs and quantitative data analyses most commonly encountered in the clinical literature and in program evaluation. Included are epidemiological methods, single case designs, analysis of correlational data, quasi-experimental and experimental designs, structural equation modelling, and meta-analysis. Emic and etic approaches to research are discussed, and attention is paid to issues related to cross-cultural research, equivalence, and data collection with cultural minorities and vulnerable populations. 10-01-2020-03-04-2020 Lecture Friday 09:30AM - 12:20PM, Memorial Hall, Room 104