Synopses & Reviews
Packed with concrete examples, Hatcher's book provides an introduction to more advanced statistical procedures and includes handy appendices that give basic instruction in using SAS. Novice SAS users will find all they need to master SAS basics and to move into advanced statistical analyses in this one book. Featured is a simple, step-by-step approach to testing structural equation models with latent variables using the CALIS procedure. The following topics are explained in easy-to-understand terms: exploratory factor analysis, principal component analysis, and developing measurement models with confirmatory factor analysis. Other covered topics of note include "LISREL-type" analyses with the user-friendly PROC CALIS and solving problems encountered in real-world social science research.
Table of ContentsChapter 1 Principal Component AnalysisChapter 2 Exploratory Factor AnalysisChapter 3 Assessing Scale Reliability with Coefficient AlphaChapter 4 Path Analysis with Manifest VariablesChapter 5 Developing Measurement Models with Confirmatory FactorChapter 6 Path Analysis with Latent VariablesAppendix A.1 Introduction to SAS Programs, SAS Logs, and SAS OutputAppendix A.2 Data InputAppendix A.3 Working with Variables and Observations in SAS Data SetsAppendix A.4 Exploring Data with PROC MEANS, PROC FREQ, PROC PRINT, and PROC UNIVARIATEAppendix A.5 Preparing Scattergrams and Computing CorrelationsAppendix B Data SetsAppendix C Critical Values of the Chi-Square Distribution