PRINT Subcommand (MIXED command)

The PRINT subcommand specifies additional output. If no PRINT subcommand is specified, the default output includes:

  • A model dimension summary table
  • A covariance parameter estimates table
  • A model fit summary table
  • A test of fixed effects table

CORB. Asymptotic correlation matrix of the fixed-effects parameter estimates.

COVB. Asymptotic covariance matrix of the fixed-effects parameter estimates.

CPS. Case processing summary. Displays the sorted values of the factors, the repeated measure variables, the repeated measure subjects, the random-effects subjects, and their frequencies.

DESCRIPTIVES. Descriptive statistics. Displays the sample sizes, the means, and the standard deviations of the dependent variable, and covariates (if specified). These statistics are displayed for each distinct combination of the factors.

G. Estimated covariance matrix of random effects. This keyword is accepted only when at least one RANDOM subcommand is specified. Otherwise, it will be ignored. If a SUBJECT variable is specified for a random effect, then the common block is displayed.

HISTORY(n). Iteration history. The table contains the log-likelihood function value and parameter estimates for every n iterations beginning with the 0th iteration (the initial estimates). The default is to print every iteration (n = 1). If HISTORY is specified, the last iteration is always printed regardless of the value of n.

LMATRIX. Estimable functions. Displays the estimable functions used for testing the fixed effects and for testing the custom hypothesis.

R. Estimated covariance matrix of residual. This keyword is accepted only when a REPEATED subcommand is specified. Otherwise, it will be ignored. If a SUBJECT variable is specified, the common block is displayed.

SOLUTION. A solution for the fixed-effects parameters. The fixed-effects parameter estimates are displayed. Their approximate standard errors are also displayed.

TESTCOV. Tests for the covariance parameters. Displays the asymptotic standard errors and Wald tests for the covariance parameters.