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Steps in Structural Model Assessment
Steps in Structural Model Assessment
Specify the validated measurement model to structural model. This step must be done based on the research hypotheses.
Make sure the residual terms and reference point are put accordingly.
Calculate estimate.
Obtain the AMOS Graphic output for the standardized and unstandardized estimate. Verify the direction of relationship between constructs conform to theory
Obtain the AMOS text output of the estimates and assess the significance of the path analysis.
Interpret the results according to the stated research hypotheses.
Coefficients of determination (R2)
Coefficients of determination (R2)
Researchers should evaluate the model's predictive accuracy via the R2. It can be viewed as the combined effect of exogenous variables on an endogenous variable. In other words, it represents the amount of variance in the endogenous constructs explained by all exogenous variable linked to it.
The R² value ranges from 0 to 1, with higher levels indicating higher levels of predictive accuracy.
Rule of Thumb
Rule of Thumb
Effect Size (f2)
Effect Size (f2)
In addition to evaluating the R2 values of all endogenous constructs, the change in the R2 value when a specified exogenous construct is omitted from the model can be used to evaluate whether the omitted construct has a substantive impact on the endogenous constructs.
Rule of Thumb
Rule of Thumb
Further Readings
Further Readings
Nawanir, G., Lim, K. T., Lee, K. L., Okfalisa, Moshood, T. D., & Ahmad, A. N. A. (2020). Less for More: The Structural Effects of Lean Manufacturing Practices on Sustainability of Manufacturing SMEs in Malaysia. International Journal of Supply Chain Management, 9(2), 961-975. Click here.
Nawanir, G., Lim, K. T., Ramayah, T., Mahmud, F., Lee, K. L., & Maarof, M. G. (2020). Synergistic effect of lean practices on lead time reduction: mediating role of manufacturing flexibility. Benchmarking: An International Journal, 27(5), 1815-1842. doi:10.1108/BIJ-05-2019-0205. Click here.
Nawanir, G., Fernando, Y., & Lim, K. T. (2018). A Second-order Model of Lean Manufacturing Implementation to Leverage Production Line Productivity with the Importance-Performance Map Analysis. Global Business Review, 19(3_suppl), S114-S129. doi: 10.1177/0972150918757843. Click here.
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