![]() ![]() In this section, I describe how an empty (intercept-only) model accomplishes basic tests of mean effect size and heterogeneity (9.3.1), how you can evaluate categorical moderators in this framework through the use of dummy codes (9.3.2), and how this flexible approach can be used to consider unique moderation of a wide range of coded study characteristics (9.3.3). However, before considering inclusion of multiple moderators, I think it is useful to take a step back to consider how a regression approach can serve as a general approach to evaluating moderators in meta-analysis (in this context, the analyses are sometimes referred to as meta-regression). ![]() After considering the regression approach to analyzing continuous moderators (previous section), you are probably wondering whether this approach allows for evaluation of multiple moderators-it does. ![]()
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January 2023
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