We might also note that three of the results are statistically significant, while the result obtained from Study 3 is not. We might think the available evidence is inconclusive. Half the studies say there’s a positive effect half say there’s a negative effect. If we were reviewing this body of work using a narrative summary, we would find it difficult to come to any conclusion. 30) and two negative results (-.30 and -.50). Meta analysis exampleįirst off, note how we have two positive results (.05 and. Where N refers to the sample size, r refers to the effect size estimate expressed in the correlational metric, and p refers to the p value or statistical significance of each study’s result. Let me prove it by running you through a basic meta-analysis of the following 4 studies: If you can add, subtract, multiply and divide, you can do meta-analysis. But here’s the secret basic meta-analysis is easy. Admittedly, terms like attenuation multiplier, random-effects analysis and Q statistic can be intimidating to the uninitiated. Most text books are written to impress rather than instruct.
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