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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 >


Wichtiger Hinweis: Der Originalinhalt ist auf Kroatisch. Die Übersetzung ins Deutsche und Englische erfolgte über einen Web-Übersetzer. Wir entschuldigen uns für die Fehler.