Introduction to Structural Equation Modeling using IBM SPSS Amos (v22)

Corso

A Milano

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Descrizione

  • Tipologia

    Corso

  • Luogo

    Milano

  • Inizio

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Prerequisiti
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.
Target del corso
This basic course is for:
Analysts with familiarity with Structural Equation Modeling
Anyone with little or no experience in using IBM SPSS Amos

Sedi e date

Luogo

Inizio del corso

Milano
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viale Piero e Alberto Pirelli 6, 20126

Inizio del corso

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Opinioni

Materie

  • Testing

Programma

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

Chiama il centro

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Introduction to Structural Equation Modeling using IBM SPSS Amos (v22)

Prezzo da consultare