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response to ASchlafly and DanB
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::::::Also Whitlock acknowledges in the paper that there is no preference for weighted versus equal weighting, so the fact that both equal weighting and weighting by the standard error give a statistically significant result shows that the 3 experiments combined support rejection of the null hypothesis. [[User:DanB|DanB]] 20:39, 21 September 2008 (EDT)
 
::::::Also Whitlock acknowledges in the paper that there is no preference for weighted versus equal weighting, so the fact that both equal weighting and weighting by the standard error give a statistically significant result shows that the 3 experiments combined support rejection of the null hypothesis. [[User:DanB|DanB]] 20:39, 21 September 2008 (EDT)
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::::::ASchlafly, you state that I incorrectly apply "Whitlock's Z-transform" (actually the test belongs to Mosteller & Bush<ref>Mosteller, F. & Bush, R.R. 1954. Selected quantitative techniques. In: ''Handbook of Social Psychology,'' Vol. 1 (G. Lindzey, ed.)</ref> and/or Liptak<ref>Liptak, T. 1958. On the combination of independent tests. ''Magyar Tud. Akad. Mat. Kutato Int. Kozl.'' '''3''': 171-197</ref>). Whitlock describes weighting by the reciprocal of the squared standard error. The standard error of the mean is proportional to 1/sqrt(N), so the reciprocal of the squared standard error is proportional to N. Thus larger studies ''are'' given more weight. I maintain that the sample sizes N of the three replays are 4, 5, and 8 respectively. Rather than simply repeating that I am wrong, will you please state what ''you'' think the sample sizes of the three replay experiments are, and, in your opinion, what the ''correct'' application of the Z-transformation would be?--[[User:Brossa|Brossa]] 18:00, 22 September 2008 (EDT)  
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:::::::ASchlafly, you state that I incorrectly apply "Whitlock's Z-transform" (actually the test belongs to Mosteller & Bush<ref>Mosteller, F. & Bush, R.R. 1954. Selected quantitative techniques. In: ''Handbook of Social Psychology,'' Vol. 1 (G. Lindzey, ed.)</ref> and/or Liptak<ref>Liptak, T. 1958. On the combination of tests. ''Magyar Tud. Akad. Mat. Kutato Int. Kozl.'' '''3''': 171-197</ref>). Whitlock describes weighting by the reciprocal of the squared standard error. The standard error of the mean is proportional to 1/sqrt(N), so the reciprocal of the squared standard error is proportional to N. Thus larger studies ''are'' given more weight. I maintain that the sample sizes N of the three replays are 4, 5, and 8 respectively. Weighting based on those three N does not weight all three replays equally as you claim: it gives replay 2 25% more weight and replay 3 100% more weight than replay 1. Rather than simply repeating that I am wrong, will you please state what ''you'' think the sample sizes of the three replay experiments are, and, in your opinion, what the ''correct'' application of the Z-transformation would be?--[[User:Brossa|Brossa]] 18:00, 22 September 2008 (EDT)  
    
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