Kursbeskrivning: Introduction to Structural Equation Modeling Using IBM SPSS Amos SPVC

PLEASE DO NOT MAKE TRAVEL ARRANGEMENT FOR THIS SELF PACED VIRTUAL COURSE (SPVC). ONCE YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT.

After you receive confirmation that you are enrolled, you will be sent further instructions to access your course material and remote labs. You will then have a 30 day window in which to complete your course. Within this 30 days, you will have 336 hours of elab time. The self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day, but lab system access is allocated on a first-come, first-served basis. When you are not using the elab system, ensure that you suspend your elab to maximize your hours available to use the elab system. Once you have accessed the course, help is available Monday through Friday; questions will be responded to within 24 hours.

NO EXTENSIONS FOR THIS COURSE WILL BE GRANTED.

This is the self paced training version of ""Introduction to Structural Equation Modeling Using IBM SPSS Amos"" classroom course Introduction to Structural Equation Modeling Using IBM SPSS Amos is an advanced, two day, self-paced training 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 self-paced training course covers creating Structured Equation Modeling diagrams in Amos and strategies for analyzing and improving model fit.

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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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You should have:

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

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Please refer to course overview.

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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