ØECVI
The ECVI table can be found under: View → Text Output → Model fit → ECVI
|
ECVI |
||||
|
Model |
ECVI |
LO 90 |
HI 90 |
MECVI |
|
Default model |
0,123 |
0,122 |
0,166 |
0,144 |
|
Saturated model |
0,11 |
0,11 |
0,11 |
0,133 |
|
Independence model |
2,232 |
2,233 |
2,253 |
2,344 |
v ECVI
The Expected Cross-Validation Index (ECVI) is a measure of model fit used in SEM that estimates the expected prediction error of the model.
The formula for ECVI depends on the number of parameters in the model, the sample size, and the estimated model parameters. The smaller the ECVI value, the better the model fit. However, there are no universally accepted reference values for ECVI, as it is often used in conjunction with other fit indices to assess model fit.
ECVI = 0,123 for our tested (default) model.
LO 90 = lower limit of the 90% confidence interval for the ECVI population.
HI 90 = upper bound of the 90% confidence interval for the ECVI population.
MECVI = except for the scale factor used in the calculation, MECVI is similar to the Browne-Cudeck criterion (BCC).
| Cite this article in your research paper: |
| APA Statistische Beratung Leonardo Miljko (datum) How to interpret SEM model fit results in AMOS. Retrieved from https://www.StatistischeDatenAnalyse.de/images/services/How_to_interpret_SEM_model_fit_results_in_AMOS.pdf . |
|
Harvard
Statistische Beratung Leonardo Miljko January 10, 2020 How to interpret SEM model fit results in AMOS. viewed datum < https://www.StatistischeDatenAnalyse.de/images/services/How_to_interpret_SEM_model_fit_results_in_AMOS.pdf > |
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