How to do Bootstrapping for Non-Normal Data in SPSS Amos?
How to do Bootstrapping for Non-Normal Data in SPSS Amos?
Hello and welcome to My Easy Statistics! In this video, I will guide you through the process of using bootstrapping for non-normal data in SPSS Amos. Bootstrapping is a powerful technique, especially useful when your data do not meet the normality assumption.
Links for Univariate and Multivariate Normality test for SEM Model using SPSS Amos : • Univariate and Multivariate Normality...
Video content:
Introduction
Importance of checking normality in SPSS Amos
Link to check normality (Univariate & Multivariate)
Introduction to Bootstrapping
Setting up Bootstrapping in SPSS Amos
Bootstrapping with a sample size of 5000
Interpreting the Bootstrapping Output
Example 1: Model fits with p-value greater than 0.05
Example 2: Model does not fit with p-value less than 0.05
Conclusion and key takeaways
Key Points Covered:
• The significance of bootstrapping for non-normal data.
• Step-by-step instructions on setting up bootstrapping in SPSS Amos.
• How to interpret the output of bootstrapping.
• Examples illustrating both adequate and inadequate model fit.
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