The Probability Level (P-value?) of Structural Equation Model (SEM) is ,560. Some sources claim that a high Probability Level makes The Default Model insignificant. In contrast, some other sources claim that a low Probability Level indicates a poor fit. Which one is correct? How should the model be interpreted?
The sample size is 444. The Model Fit Indices' screen shoot in the attachment.
The chi-square test of model fit tests the null hypothesis that the model-implied covariance matrix is equal to the population covariance matrix. Therefore, the null hypothesis implies exact model fit in the population
A large p-value for the chi-square test of model fit indicates that the null hypothesis of model fit is not rejected. Specifically, when p > alpha (your pre-specified significance level), then you would not reject the model based on this test. In contrast, when p
Dear Emre Harorli PleaseThe p-value is statistically significant less than 0.05 (usually ). It shows significant evidence against the null hypothesis as the chance of null being right is less than 5 percent (and the results are random). So we reject the null assumption and embrace the alternative assumption.
Also you have to find HTMT or Fornell liker.
reliability you can composite reliability.
Just use SEM-PLS and you will find all those this and very easy way.
A p value of (p =.56) indicates that the model is not fit. You might want to delete certain items with low factor loading (below .40) and check for large modification indices and high standardized residual covariance to get acceptable model fit values.
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