IBM® SPSS® Amos™ 28

Each row of this table summarizes the posterior distribution of a single parameter. To update the summary table, click the refresh button . You can choose options for updating the table automatically by clicking View → Options → Refresh.

Each row of the table describes a single estimand. The columns are labeled as follows.

Mean

The estimated posterior mean. It is calculated as , where N is the number of MCMC observations, B is the number of burn-in observations and is the value of a single estimand on the i-th observation.

S.E.

An estimate, SE, of the standard error of obtained by the method of batch means. SE is a measure of the variability in that is attributable to the fact that N (the number of MCMC observations) is finite. By default, 20 batches are used to estimate SE. To change the number of batches, click View → Options → MCMC.

S.D.

The estimated standard deviation of the posterior distribution. It is calculated as .

C.S.

The Convergence Statistic is computed as .

Skewness

The estimated skewness of the posterior distribution. It is calculated as the sample skewness of the retained observations, .

Kurtosis

The estimated kurtosis of the posterior distribution. It is calculated as the sample kurtosis of the retained observations, .

Min

The minimum of the retained observations, .

Max

The maximum of the retained observations, .