Provides an introduction to multiple regression analysis, path analysis, confirmatory factor analysis, and structural equation modeling. Students gain a foundation in multiple regression. Multiple regression is used as a jumping-off place for structural equation modeling with measured variables (path analysis). Latent variables are introduced as a way of obviating some of the threats to path models, and SEM with latent variables is presented as the culmination of the previous topics. (not so sure about this one) Conceptual, rather than formula oriented, approach Extensive use and explanation of computer output Numerous examples drawn from the research literature in psychology, education, as sociology Data sets available in website. The site contains all data sets used in the text as research examples. A large national data set is used throughout the text; this is supplemented by actual and simulated data from the research literature. Demonstrates how to write up the results of various analyses.

It's not enough to know how to conduct analyses, researchers have to be able to communicate findings to others clearly. From a student who has used the book: "One of the best qualities of the book is that it builds, slowly, in a logical step-wise fashion so that by the time you're into complex ideas, you don't realize it, but understand those ideas.".