Course Description
Introduction to statistical packages which enable user programming and design of custom analyses and models, such as R and M-plus, to accomplish basic and advanced statistical analyses, such as multiple regression, power analysis, bootstrapping, mediation and moderation analysis, factor analysis, path analysis, latent variable models, and longitudinal data analysis.
Athena Title
Prog Computational Stat Educ
Equivalent Courses
Not open to students with credit in ERSH 9200E
Prerequisite
ERSH 8320 or ERSH 8320E
Grading System
A - F (Traditional)
Course Objectives
Students will: 1. learn to use programmable statistical packages such as R and M-Plus to analyze real data. 2. gain deeper understandings of the conceptual foundations of inferential statistical methods. 3. develop skill in using programmable statistical packages to perform advanced statistical analyses such as multiple regression, power analysis, bootstrapping, mediation and moderation analysis, factor analysis, path analysis, latent variable models, and longitudinal data analysis.
Topical Outline
Introduction to R, and use in --Graphical display of data --z- and t-tests --ANOVA-based analyses --Bootstrap & permutation --Regression analyses --Diagnostic statistics --Power analyses --Logistic regression --Classification Introduction to M-plus, and use in --Mediation analysis --Moderation analysis --Factor analysis --Path analysis --Latent variable models (inc. Structural Equation Modeling) --Longitudinal data analysis