Emphasis on the theory and practice of multiple regression and analysis of variance, with extensions to path analysis and other simultaneous equation methods. An applied graduate level course in multiple regression and analysis of variance for students who have compelted an undergraduate course in basic statistical methods. Emphasis is on practical methods of data analysis and their interpretation. Primarily for doctoral students in the managerial, behavioral, social and health sciences. An applied graduate level course in multiple regression and analysis of variance for students who have completed an undergraduate course in basic statistical methods.
Emphasis is on practical methods of data analysis and their interpretation.
Primarily for doctoral students in the managerial, behavioral, social and health sciences. This course is designed to provide a working knowledge of the fundamental concepts of biostatistics. Emphasis is on understanding the proper application and underlying assumptions of the methods presented. This course will provide an overview of theoretical frameworks for describing nursing outcomes, and of the issues entailed in studying nursing outcomes. Discussions will focus on data and methods available to measure nursing outcomes at both the individual and institutional level, and issues involved in studying the direct and interactive effects of individual, institutional and organizational characteristics on nursing outcomes.