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

Statswork (Statswork.com), Lecture:1 – Introductory Videos of Structural Equation Modeling (SEM) using AMOS, SEM and what are the values extracted from the Test?<br><br>Structural Equation Modeling (SEM) is an extension of the general linear model. It is used to test a set of regression equations simultaneously. SEM represents the relationship between dependent (unobserved) variable and independent (observed) variables using path diagrams. Watch more. <br><br>Why You Need to outsource to Statswork consulting services? <br>• Plagiarism free <br>• Unlimited Revision<br>• Prompt Turnaround times<br>• Subject matter expertise<br>• Experienced Biostatisticians and Statisticians<br>• Statistics across Methodologies<br>• wide range of tools and technologies supports<br>• Tutoring services<br>• 24/7 Email Support<br>• Recommended by Universities<br>

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

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  1. 1 Contact us:Website: www.statswork.comContact: +91-8754446690E-mail: info@statswork.com

  2. LECTURE - 1 BASIC INTRODUCTION Structural Equation Modeling (SEM) using AMOS Website: www.statswork.com Contact: +91-8754446690

  3. 3 Table of Content Structural Equation Modeling (SEM) – A graphical User Interface What is SEM What are the values extracted from the Test? Introduction to Lecture 2 Website: www.statswork.com Contact: 8754446690

  4. 4 SEM – GRAPHICAL SOFTWARE Structural Equation Modeling (SEM) is an extension of the general linear model. It is used to test a set of regression equations simultaneously. The advantages of SEM Analysis are as follows: • 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. Website: www.statswork.com Contact: 8754446690

  5. 5 What is SEM? SEM represents the relationship between dependent (unobserved) variable and independent (observed) variables using path diagrams. • 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. Website: www.statswork.com Contact: 8754446690

  6. 6 What are the values extracted from the Test? If the hypothesized model has a good fit, the statistical test values should be in the following manner. • 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 Website: www.statswork.com Contact: 8754446690

  7. 7 Contact us:Website: www.statswork.comContact: +91-8754446690E-mail: info@statswork.com Upcoming Weeks….. Lecture -2 Structural Equation Modeling (SEM) using AMOS • Latent Variables • Observed or manifest variables

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