Meta-Analysis Continuous: Criteria
The Criteria dialog provides settings for specifying criteria for meta-analysis with continuous outcomes on raw data that are provided in the active dataset for the estimation of the effect size.
- Confidence Interval
- The optional setting specifies the confidence level. The value must be a numeric value between 0 and 100. The default setting is 95.
- Missing Data Scope
- The optional settings control how the procedure handles missing data.
- User Missing Values
- The optional settings control how user missing values are treated.
- Iterations
-
- Maximum iterations
- The optional setting specifies the maximum number of iterations in the iterative methods. The setting is available when iterative methods are used. The value must be a single positive integer. The default value is 100. A value of 0 means that no iterations are performed.
- Maximum step-halvings
- The optional setting specifies the maximum step-halving in the iterative methods. The setting is available when iterative methods are used. The value must be a single positive integer. The default value is 5. A value of 0 means that step-halving is not applied.
- Convergence
- The optional setting specifies the convergence tolerance. The value must be
a single positive value. The setting is available when iterative methods are used. The default value
is
1E-6
.
Defining Meta-Analysis Continuous criteria
- From the menus choose:
- In the Meta-Analysis Continuous dialog, click Criteria.
- Select and define the appropriate criteria settings.
- Click Continue.