EVAL 6970: Meta-Analysis Subgroup Analysis Dr. Chris L. S. Coryn Kristin A. Hobson Fall 2013.

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Presentation transcript:

EVAL 6970: Meta-Analysis Subgroup Analysis Dr. Chris L. S. Coryn Kristin A. Hobson Fall 2013

Agenda Subgroup analyses – In-class activity

Subgroup Analyses

ModelMethod 1Method 2Method 3 Fixed-effect

Fixed-Effect Model within Subgroups: Method 1

The difference between the two effects is Which is tested as Where

Fixed-Effect Model within Subgroups: Method 1 Where For a two-tailed test =(1-(NORMDIST(ABS(Z))))*2

Fixed-Effect Model within Subgroups: Method 1

Fixed-Effect Model within Subgroups: Method 2

A B Within Between Total

Fixed-Effect Model within Subgroups: Method 2 Variance components

Fixed-Effect Model within Subgroups: Method 3

Use Total between

Magnitude of Subgroup Differences With The 95% confidence interval is Where

A B Total

Use A and B and Total within

Proportion of Explained Variance

Variance Explained by Subgroup Membership

Summary Effects in Subgroup Analyses Depends on questions and the nature of data If question is one of superiority, best not to report a summary effect across subgroups If question is one of equivalence, a summary effect across subgroups may or may not be warranted Most important are substantive implications and what summary effect represents

Models for Subgroup Analyses Three models – Fixed-effect analysis: Fixed-effect model within and across subgroups – Mixed-effect analysis: Random-effects model within subgroups and fixed-effect model across subgroups (generally recommended model) – Fully random-effects analysis: Random- effects model within and across subgroups

Today’s In-Class Activity