Introduction to Structural Equation Modeling Using IBM SPSS Amos [PDF]

fundamentals of using IBM SPSS Amos for the typical data analysis process. You will learn the ... Estimating and Identif

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Idea Transcript


Introduction to Structural Equation Modeling Using IBM SPSS Amos (V22)

Information

Description

Durée :

2 Jours

Ref :

0G203FR

Prix HT :

1 300 €

Dates de sessions

Sur demande. Merci de nous contacter.

Cette formation est également disponible en formule intraentreprise ; n'hésitez pas à nous consulter pour en savoir plus.

Introduction to Structural Equation Modeling Using IBM SPSS Amos (V22) is a two day instructor-led classroom course that guides students through the fundamentals of using IBM SPSS Amos for the typical data analysis process. You will learn the basics of Structural Equation Modeling, drawing Diagrams in Amos Graphics, performing regression and confirmatory factor analysis in Amos, evaluating model fit, and ways to improve model fit.

Objectifs Please refer to Course Overview for description information.

Public This basic course is for: Analysts with familiarity with Structural Equation Modeling Anyone with little or no experience in using IBM SPSS Amos

Pré-requis You should have: Experience with Linear Regression and Factor Analysis Experience using with IBM SPSS Amos is not necessary, though basic familiarity with Structural Equation Modeling would be helpful.

Programme Introduction to Structural Equation Modeling Some Examples of SEM Models Terminology in SEM Drawing Diagrams in Amos Graphics Launching Amos Graphics

1/3

Drawing the Diagram Example - Sample Factor Analysis Path Diagram Example - Multiple Regression Path Diagram

Regression Analysis in Amos

Setting up a Regression in Amos Requesting a Linear Regression Regression Output Demonstration: Multiple Regression

Testing Model Adequacy

Implied versus Sample Moments Requesting Implied and Sample Moments Constraining the Regression Weight to Zero Testing a Hypothesis with the Chi-Square Test Displaying the Chi-Square Test in the Diagram Degrees of Freedom Verifying the Degrees of Freedom Model Identification Demonstration: Testing the Fit of a Path Analysis Model

Additional Fit Measures in Amos

Alternative FIT Measures Demonstration: Fitting a Model with Multiple Regression

Confirmatory Factor Analysis in Amos

Latent vs. Observed Variables Exploratory vs. Confirmatory Factor Analysis Estimating and Identifying a Latent Model in CFA Requesting a Confirmatory Factor Analysis Demonstration of a Confirmatory Factor Analysis

The General Model

Requesting the General Model

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Demonstration: General Model

Analyzing Data With Missing Values in Amos

Demonstration: How to Use the Full Information Maximum Likelihood Method to Handle Missing Values Estimating Means and Intercepts Imputing Missing Data Demonstration: Imputing Missing Data in Amos Analyzing the Imputed Data Files

Improving the Fit of a Model

Correcting the Model Modification Index Demonstrating How to Use Modification Indices Trimming a Model for Better Fit Demonstrating How to Trim a Model for Better Fit Using Modification Indices with Missing Data

Getting the Best Model with Specification Search

Exploratory Factor Analysis Performing a Specification Search Demonstration: Regression Analysis

Contactez nous au : Email: [email protected] Téléphone: 01 49 97 49 51

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