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Structural equation modeling (SEM) has become one of the most important statistical procedures in the social and behavioral sciences. This easytounderstand guide makes SEM accessible to all userseven those whose training in statistics is limited or who have never used SAS. It gently guides users through the basics of using SAS and shows how to perform some of the most sophisticated dataanalysis procedures used by researchers: exploratory factor analysis, path analysis, confirmatory factor analysis, and structural equation modeling. It shows how to perform analyses with userfriendly PROC CALIS, and offers solutions for problems often encountered in realworld research.This second edition contains new material on samplesize estimation for path analysis and structural equation modeling. In a single userfriendly volume, students and researchers will find all the information they need in order to master SAS basics before moving on to factor analysis, path analysis, and other advanced statistical procedures.
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birth defects, or other reproductive harm.
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