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SPSS Amos - Test Models, Hypothesis, Validity (and More)
Rating: 4.3 out of 5(67 ratings)
337 students

SPSS Amos - Test Models, Hypothesis, Validity (and More)

Learn Path Analysis, Mediation, Confirmatory Factor Analysis and More
Last updated 12/2019
English

What you'll learn

  • Path Analysis
  • Structural Equation Modeling
  • Confirmatory Factor Analysis
  • Construct Validity
  • Convergent Validity
  • Discriminant Validity
  • Scale Reliability
  • Psychometrics
  • Psychological Assessment

Course content

5 sections34 lectures3h 17m total length
  • A Path Analysis Model4:00

    What a "path analysis" is, and the concept of "model".

  • About Model Fit4:20
  • Testing the Hypothesis3:45

    Testing theories and hypothesis made easy (and concrete) with Amos and path analysis.

  • Comparing with Basic SPSS Statistics2:58

    How to get the regression results given by Amos in SPSS Statistics

    (You will do this exercise in lesson #07)

  • Some Important Points3:30

    Reflections on important points such as bias, non-normality  and confidence intervals.

  • Building a Diagram in Amos6:09

    Practical exercise: use Amos to build a path diagram.

    Please note the "zip" file with materials for this exercise (in the resources part of this lesson).

  • Reproducing Results with SPSS3:34

    Practical exercise: how to get the same results using SPSS Statistics.

    Please note the "zip" file with materials for this exercise (in the resources part of this lesson).

  • Measuring Model Fit3:25

    Practical exercise: how to measure model fit.

    Please note the "zip" file with materials for this exercise (in the resources part of this lesson).

Requirements

  • You should have SPSS Amos installed. There is a free 30-day trial version at the IBM website.

Description

Do path analysis, test model fit, measure indirect effects, recognize and classify mediation types, recognize sources of bias in your estimates, perform confirmatory factor analysis, assess validity (construct, convergent and discriminant), combine path analysis with confirmatory factor analysis to build "full" structural equation models (that is path analysis with latent variables).

Who this course is for:

  • Researchers needing to use Amos to develop instruments and assess the fit of new (or existing) theoretical models.
  • People curious on how Amos can be used with their data analysis workflow (with at least some basic knowledge of concepts such as regression and correlation)