Multilevel modeling is an increasingly popular multivariatetechnique that is widely applied in the social sciences.Increasingly, practitioners are making instructional decisionsbased on results from their multivariate analyses, which often comefrom nested data that lend themselves to multilevel modelingtechniques. As data-driven decision making becomes more critical tocolleges and universities, multilevel modeling is a tool that willlead to more efficient estimates and enhance understanding ofcomplex relationships.
This volume illustrates both the theoretical underpinnings andpractical applications of multilevel modeling in IR. It introducesthe fundamental concepts of multilevel modeling techniques in aconceptual and technical manner. Providing a range of examples ofnested models that are based on linear and categoricaloutcomes, it then offers important suggestions aboutpresenting results of multilevel models through charts andgraphs.
This is the 154th volume of this Jossey-Bassquarterly report series. Always timely and comprehensive, NewDirections for Institutional Research provides planners andadministrators in all types of academic institutions withguidelines in such areas as resource coordination, informationanalysis, program evaluation, and institutional management.