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DID YOU KNOW ? Why Structural equation modeling (SEM/AMOS) can take your research to the next level and the advantages of it ?

| DID YOU KNOW? |
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Why Structural equation modeling (SEM/AMOS) can take your research to the next level?
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When you conduct research, you’re probably already using factor and regression analyses in your work.
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There are 6 reasons, which are :
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 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.
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 SEM/AMOS lets you more rigorously test whether your data supports your hypothesis.
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 You create more precise models – setting your research apart and increasing your chances of getting published.
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 Build structural equation models with more accuracy than standard multivariate statistics models using intuitive drag-and-drop functionality.
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Amos gives you the power to easily perform structural equation modeling (SEM).
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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
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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

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