- #1
imiyakawa
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Hi, just wondering how to find the significance (i.e. the p-value) of a Stouffer Z.
Thanks :)
Thanks :)
A Stouffer Z value is a statistical value that is used to combine the results of multiple independent studies in order to assess the overall significance of a particular effect or relationship.
The p-value for a Stouffer Z value is calculated by finding the area under the standard normal curve that falls between the Stouffer Z value and the positive or negative infinity. This area represents the probability of obtaining a Z score as extreme or more extreme than the observed value, assuming the null hypothesis is true.
The p-value for a Stouffer Z value indicates the likelihood of obtaining the observed results if the null hypothesis is true. A small p-value suggests that the observed results are unlikely to occur by chance and therefore, the null hypothesis can be rejected.
A p-value less than 0.05 is typically considered statistically significant for a Stouffer Z value. This means that there is less than a 5% chance of obtaining the observed results if the null hypothesis is true.
Yes, there are some limitations to using a Stouffer Z value and its associated p-value. These include the assumption that the individual studies are independent and have equal weights, as well as the potential for biased results if any of the individual studies have a large effect size. Additionally, the p-value does not provide information about the direction of the effect or the strength of the relationship.