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Kursbeskrivning: Introduction to Structural Equation Modeling Using IBM SPSS Amos - ILO

Kursen har inget datum. Ring vår kursbokning 077 186 10 37 för information om en privat utbildning.

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  • Målgrupp
  • Förkunskaper
  • Mål
  • Nyckelområden
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Kurskod 0L209SE Leveranstyp Instructor Led - Online Training
(Hands-on labs)
Kurslängd 2.0 dagar Kurstyp
Listpris SEK 12 500,00 exkl moms
SEK 15 625,00 inkl moms
   

IBM SPSS Education is pleased to offer you our courses in an exciting learning format, Instructor-led Online (ILO). Students are offered a similar experience to live classroom training, with the convenience of having it delivered directly to their desktop.

Introduction to Structural Equation Modeling Using IBM SPSS Amos is an advanced, two day, instructor led on-line course for Data Analysts who are familiar with Structural Equation Modeling on the basics of how to do Structural Equation Modeling using IBM SPSS Amos software. The course covers creating Structured Equation Modeling diagrams in Amos and strategies for analyzing and improving model fit.

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Målgrupp

This advanced course is for data analysts with an interest in Structural Equation Modeling who are interested in getting up to speed quickly and efficiently on Amos. The course covers the basics topics in Structural Equation Modeling.

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Förkunskaper

You should have:

  • Some experience in multiple regression is strongly recommended
  • Knowledge of factor analysis would be helpful

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Mål

Please refer to Course Overview.

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Nyckelområden

Course Introduction

  • Introduction
  • Course Objectives
  • Course Assumptions

Introduction to Structural Equation Modeling

  • Examples of Structural Equation Models
  • Terminology in Structural Equation Modeling
  • Learning Activity

Drawing Diagrams in Amos Graphics

  • Launching Amos Graphics
  • Drawing Diagrams
  • Sample Factor Analysis Path Diagram
  • Multiple Regression Path Diagram
  • Learning Activity

Regression Analysis in Amos

  • Setting up a Regression in Amos
  • Requesting a Linear Regression
  • Regression Output
  • Multiple Regression demonstration
  • Learning Activity

Testing Model Adequacy

  • Implied vs. Sample Moments
  • Constraining the Regression Weight to Zero
  • Testing a Hypothesis with the Chi-Square Test
  • Degrees of Freedom
  • Model Identification
  • Testing the Fit of a Path Analysis Model
  • Learning Activity

Additional Fit Measures in Amos

  • Alternative Fit Measures
  • Fitting a Model with Multiple Measures
  • Learning Activity

Confirmatory Factor Analysis in Amos

  • Latent vs. Observed Variables
  • Exploratory vs. Confirmatory Factor Analysis
  • Estimating and Identifying a Latent Model in Confirmatory Factor Analysis
  • Requesting a Confirmatory Factor Analysis
  • Learning Activity

The General Model

  • Requesting a General Model
  • General Model Demonstration
  • Learning Activity

Improving the Fit of a Model

  • Correcting the Model
  • Modification Indices
  • Trimming a Model for Better Fit
  • Learning Activity

Getting the Best Model with Specification Search

  • Exploratory Factor Analysis
  • Performing Specification Search
  • Regression Analysis Demonstration
  • Learning Activity

Course Summary

  • Course Objectives Review
  • Course Review Discussion Questions
  • Next Steps

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