Step-by-Step Structural Equation Modeling (SEM) in SPSS-AMOS

on

Structural equation modeling (SEM) is a multivariate statistical analysis technique that is used to analyze structural relationships between measured variables and latent constructs. This technique is a combination of factor analysis and multiple regression analysis. 

This step-by-step tutorial will walk you from data screening to running the causal model with special topics on different types of analysis such as mediation, moderation, and interaction.


Kindly check these links for the step-by-step guide of each main step. Hope this is helpful.

  1. Data screening - bit.ly/3bEM8FU
  2. Exploratory Factor Analysis - bit.ly/33cUPDH
  3. Confirmatory Factor Analysis - bit.ly/35gygjP
  4. Multivariate assumptions - bit.ly/336dalC
  5. Setting up the Causal Model - bit.ly/2ZrspVo
  6. Mediation Analysis - bit.ly/3inUNz5 [draft]
  7. Moderation Analysis - bit.ly/2ZsoEPs
  8. Multi-group Analysis - bit.ly/32jrQ1C
Big thanks to Dr. James Gaskin for helping me learn this topic. You may check his YouTube channel, where I based these steps together with other videos on his channel.

Thank you very much.


King Mongkut's Institute of Technology Ladkrabang

Comments

  1. Sitima JNovember 27, 2020 at 5:57 PM

    Thank you quite informative, iam doing my Masters Theisis on the relationship between corporate Governance and financial performance in State Companies in Zimbabwe where i intend to do a structural equation modeling to ascertain the relationship using a number of variables.

    Thanks a lot. This helped me

    ReplyDelete
    Replies
    1. Harry Jay CaviteNovember 30, 2020 at 7:22 AM

      @Sitima J, You're very much welcome. All the best in your work.

      Delete

Post a Comment