| DID YOU KNOW? |
Why Structural equation modeling (SEM/AMOS) can take your research to the next level?
When you conduct research, you’re probably already using factor and regression analyses in your work.
There are 6 reasons, which are :
☘ Structural equation modeling (sometimes called path analysis) can help you gain additional insight into causal models and explore the interaction effects and pathways between variables.
☘ SEM/AMOS lets you more rigorously test whether your data supports your hypothesis.
☘ You create more precise models – setting your research apart and increasing your chances of getting published.
☘ Build structural equation models with more accuracy than standard multivariate statistics models using intuitive drag-and-drop functionality.
☘Amos gives you the power to easily perform structural equation modeling (SEM).
☘Using SEM, you can quickly create models to test hypotheses and confirm relationships among observed and latent variables – moving beyond regression to gain additional insight.
Advantages of SEM/AMOS
✔Software is very user friendly.
✔Widely used by researchers
✔Analyze the inter-relationships among constructs in a model.
✔The analysis is executed effectively, accurately, and efficiently.
✔ Most interestingly, the inter-relationship in a model are computed simultaneously
✔ Can create path diagrams using drawing tools.
✔ Directly access the fitness of the model and proceed into further analysis
✔ Built in method of validating the measurement model of a construct through Confirmatory Analysis (CFA)
✔ Ensure your structural model to meet the meet the requirement of unidimensionality, validity and reliability
✔ Allows models with latent variables.
✔ Studies complex multivariate relationships that are closer to reality (vs. exploratory methods).
✔ Compensates for lack of perfect reliability in measurement scales (therefore reveals true relationship between variables).
✔ Due to necessary a prior-hypothesis
Sumber : Research Gate