Overview (BAYES INDEPENDENT command)

BAYES INDEPENDENT invokes the independent-sample inference procedure. The procedure provides options for using a group variable to define two unrelated groups, and make Bayesian inference on the difference of the two group means. You can estimate the Bayes factors by using different approaches, and also characterize the desired posterior distribution either assuming the variances are known or unknown.

Options

Missing values: You can specify the way in which missing values are handled. You can exclude records with missing values on a test-by-test basis, or exclude records with missing values listwise.
Analysis options: You can specify the significance level for computing credible intervals, the tolerance value for numerical methods, and the maximum number of iterations the AGL method can go through in its computations.
Bayesian analysis method: You can specify POSTERIOR, BAYESFACTOR, or BOTH. You can also specify the condition to defined two groups. The groups are defined by two numerical values or two strings.
Bayes factor settings: You can specify the approach that is used to estimate the Bayes factor.
Prior distribution settings: You can specify the prior distribution for the variance parameter.

Subcommand order

The subcommands can be named in any order.

Syntax rules

DATAVAR must either be null or two variance values.