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Description: Preregistration is gaining ground in psychology, and a consequence of this is that preregistered studies are more often included in a meta-analysis. Preregistration is generally seen as a quality enhancing feature such that a preregistered study is higher valued than a non-preregistered study. However, this likely difference in quality is not taken into account in current meta-analysis methods. Traditional methods treat all studies as equivalent while meta-analytic conclusions can be improved by taking advantage of preregistered studies. The goal of this paper is to introduce a new method, the extended hybrid meta-analysis method, that takes into account that studies are preregistered or not. The proposed method is applied to two meta-analyses on prominent effects in psychology: the red-romance hypothesis and money priming. Applying the extended hybrid meta-analysis method to these meta-analyses shows that the average effect size is substantially closer to zero and the results of hypothesis testing may change. Two simulation studies tailored to the two applications are also presented to illustrate the method's superior performance compared to the random-effects meta-analysis model when publication bias is present. Software was also developed and is described in the paper to facilitate application of the method.

License: CC-By Attribution 4.0 International

Has supplemental materials for Meta-analyzing non-preregistered and preregistered studies on MetaArXiv

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