Significance without power?

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Bradford Apple

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May 24, 2014, 10:44:33 AM5/24/14
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I am trying to use data from a preliminary experiment to perform power analysis, to be used in planning subsequent experiments.
The xp was analyzed with 1-way ANOVA. Overall significance and a group difference were indicated. However, putting the data into a power analysis indicated that I need a much, much, much larger N to achieve acceptable power, based on the SD's from that xp. So, how can I have statistical significance with extremely low power?

Data:
Control, 15.9 % ± 5.4 (s.e.m.)
Condition1, 17.7%
± 4.9
Condition2, 25.6%
± 5.4
N=8 for each group.

(One-Way ANOVA followed by Dunnett’s post-test, Control vs Condition 1 group q2,23 = 3.2, P < 0.05 and Control vs. Condtion 2 group, q2,23 = 2.5, P < 0.05, n = 8 per group

Lenth, Russell V

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May 26, 2014, 9:21:42 PM5/26/14
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Well, I suppose the problem is with the inputs you used for the power calculations. But there are some serious anomalies in what you do report. Among them is that the degrees of freedom seem wrong. With 3 groups and 8 observations per group, there should be 24-3=21 df. Moreover, the difference between control and cond 1 is clearly not statistically significant, if those really are the SEs of the means. And surely that difference of 1.8 is less, not more, significant than the difference of almost 10 between control and cond 2. There are all kinds of things in there that don't make sense, even before we get to anything that went wrong with the power calculations. I suggest finding a good consultant who can talk this through with you.

Russ

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