Structural equation modeling (SEM) with
Learn to simplify and build complex statistical multivariate models at ease. This module has been curated to estimate your model in a way that is easy to interpret and open to perspectives.
About this module
This module will help you understand the fundamental procedures to apply structural equation modeling (SEM) using SPSS Amos in your research. With this, you will also understand its advantages over traditional regression models to estimate and improve your model fitness.
What you’ll need
- SPSS Software package
- SPSS Amos package
- Any spreadsheet software like Excel, Pages or Sheets
- 10 hours
Skills you will gain
Confirmatory factor analysis (CFA) Confirmatory composite analysis (CCA) Path analysis Partial least square (PLS) Latent growth modeling Correlation Regression Reliability Validity Dimension reduction Hypothesis testing Mediation analysis Moderating or interaction effect analysisOUTCOME
Conceptualisation
Strengthen your understanding of structural equation modeling, its relevance and how to apply it.
SPSS Amos interface
Get familiar with the various panels, menus, editor, Amos graphics and output viewer of the package.
Model formulation
Get proficient with Confirmatory factor analysis, Confirmatory composite analysis, Path analysis, Partial least square path modeling and Latent growth modeling.
Testing
Get thorough with different tests to examine your model validity, reliability and hypothesis.
Interpret results
Create diagrams, tables and value evaluation to present the tested model results.
Introduction to SEM
Fundamentals of SEM, its relevance, terminologies used and different types of tests.
Data analysis procedure
Discussing the AMOS environment and explaining how to import or create a new dataset and the analysis procedure.
Live tuition sessions
Our live tuition sessions are curated for multivariate model complexities that need you to delve deeper into AMOS. They include discussions on problems you feel stuck at and can’t find the answer to.
Focussed sessions
- Virtual teaching using live demonstration.
- Illustration for different levels of complexity of datasets.
- Easy to follow instructions.
- Tutoring is focused on the understanding of concepts rather than rote learning.
- Customized session agenda keeping with different industry requirements.
Check our upcoming tuition events in the calendar. Click on the event to view its agenda and book your session.