Statistical Methods II

3 credits · Graduate School

This course builds on the fundamental concepts and applications of bivariate statistical methods in NRSC8407 and begins to incorporate multivariate methods. Students will be introduced to the general linear model and applications to traditional analysis of variance methods, as well as multiple linear and logistic regression models. The use of computer software for conducting the included methods will be incorporated into the content. The role and importance of effect statistics will continue to be emphasized in this course. Published research is used to further develop the learner's ability to critically evaluate the appropriateness and rigor of the written presentations of results from the approaches being studied. Prerequisites: Enrollment in the VUSN PhD program (or consent of the instructor) and successful completion of NRSC8407. SPRING [3]