商品簡介
This graduate-level guide introduces concepts, assumptions, and practical implementation procedures in hierarchical linear modeling (also known as multilevel modeling or linear mixed modeling). The first part of the book overviews fundamentals of hierarchical linear modeling and explains types of linear mixed modeling, multivariate models, and cross-classified models. Another opening chapter explains considerations for preparing to analyze multilevel data. Instructions are then given for performing hierarchical linear modeling using HLM 7, SAS, and SPSS, illustrated with b&w screenshots, bullet points, and code. Part 2 of the guide presents 10 step-by-step case examples, explaining steps and rationales for a variety of multilevel analyses at every step of the research process, from data entry through analyzing output and reporting results. Garson teaches public administration at North Carolina State University Annotation Ac2012 Book News, Inc., Portland, OR (booknews.com)
