In the Generalized Linear Mixed Model report, the Fit Statistics and Model Summary sections contain information that describes the model that you have fit.
The columns in the Fit Statistics table depend on if there are random effects in the model.
If there are no random effects, the table contains the following statistics for the model fit:
Number of Rows
The number of rows in the data table.
Sum of Frequencies
The number of rows that were used in the model fit.
Pearson Chi-Square
The Pearson chi-square statistic for the model.
Pearson Chi-Square / DF
The Pearson chi-square statistic for the model divided by the degrees of freedom for the model.
Tip: The Pearson Chi-Square / DF value can be used to evaluate if over dispersion is present in the data versus the model. If this value is much greater than 1, that is evidence of over dispersion. Specifically, if you fit a model with no random effects and the Pearson Chi-Square / DF is much greater than 1, the over dispersion could be due to a missing random effect. See Additional Example of the Generalized Linear Mixed Model Personality.
If there are random effects, the table contains the following statistics for the model fit:
Number of Rows
The number of rows in the data table.
Sum of Frequencies
The number of rows that were used in the model fit.
Generalized Chi-Square
The generalized chi-square statistic for the model.
Generalized Chi-Square / DF
The generalized chi-square statistic for the model divided by the degrees of freedom for the model.
Tip: The Generalized Chi-Square / DF value can be used to evaluate if over dispersion is present in the data versus the model. If this value is much greater than 1, that is evidence of over dispersion. See Additional Example of the Generalized Linear Mixed Model Personality.
The Model Summary table contains the following information about the model:
Response
The column assigned to the Y role in the Fit Model launch window.
Distribution
The Distribution selected in the Fit Model launch window.
Probability Model Link
(Appears only when the Distribution is Binomial.) The link function for the model for the probability.
Mean Model Link
(Appears only when the Distribution is not Binomial.) The link function for the mean.