Statswork- Lecture:1: Structural Equation Modeling (SEM) using AMOS (www.statswork.com)

1. LECTURE – 1BASIC INTRODUCTION Structural Equation Modeling (SEM) using AMOS SEM – GRAPHICAL SOFTWARE: used to test a set of regression equations simultaneously. The advantages of SEM Analysis are as follows: Structural Equation Modeling (SEM) is an extension of the general linear model. It is SEM provides overall tests of model fit and individual parameter estimate tests simultaneously. Regression coefficients, means and variances may be compared simultaneously. It is the graphical interface software. What is SEM? independent (observed) variables using path diagrams. SEM represents the relationship between dependent (unobserved) variable and In this analysis, ovals or circles represent dependent variable. Rectangles or squares represent independent variable. Residuals (error term) variables also represent by ovals or circles, because they are always unobserved. What are the values extracted from the Test? following manner. If the hypothesized model has a good fit, the statistical test values should be in the Chi-square value should be less than 5 P value should be greater than 0.05 GFI, AGFI and CFI values should be greater than 0.90 RMR & RMSEA values should be less than 0.08 Upcoming Weeks….. Lecture -2 Structural Equation Modeling (SEM) using AMOS 1.Latent Variables 2.Observed or manifest variables © 2017-2018 All Rights Reserved, No part of this document should be modified/used without prior consent Statswork ™ - www.statswork.com INDIA: Nungambakkam, Chennai – 600 034 UK: The Portergate, Ecclesall Road, Sheffield, S11 8NX