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Advances in factor analysis; Structural equation models; New model forgroup comparisons.
Simple examples - Mullti-sample examples - Path diagrams - Fitting and testing - Lisrel output - Simplis reference - Computer exercises.
Factor analysis is the common term of a number of statistical techniques for the resolution of a set of variables in terms of a small number of hypothetical variables, so-called factors. This resolution is accomplished by an analysis of the intercorrelation of the variables. Thus the principal aim is to attain scientific parsimony or economy of description.
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"This manual contains fifteen examples covering a wide range of typical LISREL models. The input and output for these models are discussed in detail. A number of computer exercises are also given" Preface
Introduction; Basic mathematical and statistical concepts; Aim, ideas and models of factor analysis; R-mode methods; Q-mode methods; Steps in the analysis; Examples; References.
Prelis procedures - General instructions for the problem rum - Prelis commands - Examples and exercises : Warnings and error messages - New features in Prelis 2 - Simulation with Prelis 2 and Prelis 8.