I am not the expert in meta-analysis, so any help will be appreciated. I am 
currently finding some materials but in the meantime a few quick questions. 

I know how to combine Z scores to get an overall Z and p level using Stouffer's 
methods - in my case I have 4 p values, and I would find the one-tail Z 
corresponding to each p (using a negative Z IF the results were in the opposite 
direction). Adding the Z values and dividing by square root of the number of 
studies yields a Z distribution. That I can do. But I have F and p values. F 
distributions are chi2 ratios, positive, not normal .. etc. What would be the 
corresponding Z value for a p value greater than .5? It can't be a negative Z. 

I was toying with using Fisher's method for combining probabilities instead ... 
-2*Sum log (p) which distributes as Chi square. I found very little info on 
this method other than it gives similar but not identical results to Stouffer. 
I played with a few hypothetical numbers and ended up with quite different p 
values in the end. Is that method still used? In the meantime I will start 
plowing through a little book by Schultz on meta analysis ... Any help will be 
appreciated! 

JK 

p.s. I can also combine effect sizes across the studies, which I may do later, 
but, what I really want now is one overall "significance" level for these 
quadratic trends ... 


========================== 
John W. Kulig, Ph.D. 
Professor of Psychology 
Coordinator, University Honors 
Plymouth State University 
Plymouth NH 03264 
========================== 


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