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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 7658. 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 Posterior mean, where N is the number of MCMC observations, B is the number of burn-in observations and X sub i is the value of a single estimand on the i-th observation.

S.E.

An estimate, SE, of the standard error of X bar obtained by the method of batch means. SE is a measure of the variability in X bar 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 SD.

C.S.

The Convergence Statistic is computed as Convergence Statistic.

Skewness

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

Kurtosis

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

Min

The minimum of the retained observations, Sample Observations.

Max

The maximum of the retained observations, Sample Observations.

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