Stat > ANOVA > Mixed Effects Model > Fit
Mixed Effects Model > Results
Display of results
Simple tables: Display the simpler version of all tables.
Expanded tables: Display the expanded versions of the following tables:
Variance components
Coefficients
Marginal fits and diagnostics
Conditional fits and diagnostics
Method
Display a table that summarizes settings for the analysis.
Factor information
Display a summary of the factor names, whether the factors are random, the numbers of levels, and the levels.
Iteration history
Displays the number of iterations until the algorithm converges and the value of the –2 log likelihood at each iteration.
Variance components
Display the estimates of the variance components.
Variance-covariance matrix of variance component estimates
Display the variance-covariance matrix of the variance component estimates.
Fixed effect tests
Display test results about whether the means at different levels of the fixed effect terms are equal.
Model summary
Display statistics that evaluate the model fit, including R2, the corrected Akaike's Information Criterion (AICc) and the Bayesian Information Criterion (BIC).
Coefficients
Display the coefficients and test results about whether the coefficients equal 0. The drop-down list allows you to control how many coefficients for factors are in the table.
Default coefficients: Display all the linearly independent coefficients of the factors.
Full set of coefficients: Display the coefficients for all levels of the factors, which include the final, linearly dependent level.
Random effect predictions
Display statistics for the random terms in the model including the best linear unbiased prediction (BLUP) for the level effect of a random term.
Marginal fitted equation
Display the equation for the marginal fitted values. The marginal fits represent the mean responses at the combined levels of the fixed factors with the entered covariate values (if any). The calculations for marginal fits do not use random factor levels.
Separate equation for each set of factor levels: Display a separate equation for each combination of factor levels.
Single equation: Display one equation that includes all levels of all factors.
Conditional fitted equation
Display the equation for the conditional fitted values. The conditional fits are the fitted values for the levels of the random factors in the data. Use the conditional fits to explore differences among the specific levels of the random factors in the study.
Separate equation for each set of factor levels: Display a separate equation for each combination of factor levels.
Single equation: Display one equation that includes all levels of all factors.
Marginal fits and diagnostics
Only for unusual observations: Display the marginal fitted values, the marginal residuals, and the diagnostic statistics for only the unusual observations.
For all observations: Display the marginal fitted values, the marginal residuals, and the diagnostic statistics for all observations.
Conditional fits and diagnostics
Only for unusual observations: Display the conditional fitted values, the residuals, and the diagnostic statistics for only the unusual observations.
For all observations: Display the conditional fitted values, the residuals, and the diagnostic statistics for all observations.
Means
Display the fitted means that you specified in the Options dialog box.
