Timeline for Determining Sample Size for ANOVA
Current License: CC BY-SA 3.0
12 events
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| Jun 7, 2017 at 15:26 | history | edited | gung - Reinstate Monica |
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| Feb 27, 2015 at 1:06 | comment | added | Glen_b | In general, rather than use ANOVA for counts, I'd suggest a GLM suitable GLMs (Poisson or negative binomial, perhaps) can do the equivalent analysis to ANOVA. If you do use ANOVA, I'd strongly suggest considering the Welch correction. | |
| Feb 26, 2015 at 20:09 | history | edited | paulsef11 | CC BY-SA 3.0 |
added 608 characters in body; edited tags; edited title
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| Feb 26, 2015 at 19:10 | comment | added | paulsef11 | @Glen_b Three months later and I'm finally getting back to this question. You're absolutely right about counts v proportions. I'll go ahead and edit the question. | |
| Dec 19, 2014 at 4:46 | comment | added | Glen_b | It looks you're dealing with counts (0,1,2,...), not proportions. Your title is misleading/confusing. If you're prepared to assume a Poisson or Negative Binomial model it may be possible to do some kind of similar calculation. | |
| Dec 18, 2014 at 6:27 | comment | added | paulsef11 | If by "harm" you mean decrease the mean, then yes, it's possible. Can you share with me the process that you're using? | |
| Dec 18, 2014 at 6:22 | comment | added | dimitriy | You will need the sd eventually to sure, but I can repeat the calculation for range. Can the treatment "harm"? | |
| Dec 18, 2014 at 6:11 | comment | added | paulsef11 | I'm not expecting to see a change in the standard deviation between the experiment and control. Unfortunately I can't get to an actual number for the SD right now since the data is hard to get to. Is it completely necessary to have? | |
| Dec 18, 2014 at 2:36 | comment | added | dimitriy | Do you know the standard deviation? Do you expect the treatment to alter it? | |
| Dec 18, 2014 at 1:54 | answer | added | dimitriy | timeline score: 1 | |
| Dec 18, 2014 at 1:27 | review | First posts | |||
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| Dec 18, 2014 at 1:22 | history | asked | paulsef11 | CC BY-SA 3.0 |