Seminar, three hours; laboratory, one hour. Advanced training in data analysis and statistics, and training in strategies for evaluating research evidence and comparing results of studies that adopt varying research methodologies. Students gain experience working with large datasets, and with designing, testing, and validating statistical modeling techniques. Students are familiarized with datasets most relevant to their individual research interests. Students receive general training and individualized mentoring in selecting appropriate dataset for their major research paper (MRP). Letter grading.