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Which Anova test and how to use it?
28 Commenti
- define the question (sometimes the hardest part)
- define the null hypothesis given the question
- decide on methodology given the quesiton and null hyp.
- collect data
- analyze and interpret
Risposte (1)
14 Commenti
- Is there a significant effect of orientation on recognition rate?
- Is there a significant effect of thickness on recognition rate?
- Is there a significant Orientation x Thickness interaction effect on recognition rate?
- Thickness - Orientation (Recognition Rate)
- Amplitude - Orientation (Recognition Rate)
- Thickness- amplitude (Recognition Rate)
- Recognition Time when amplitude is involved
- Recognition Time when Thickness is involved.
- This is more of an art form than a science. There are lots of bits of advice out there to know when enough is enough. It's been obvoius to me when I don't have enough data but less obvious when I've collected enough. I have use cross validation to help make that decision. The main idea is, if I remove something like 10-20% of my data and get approximately the same results, then I have enough data.
- It wouldn't be surprising if the CIs differ by a very small amount between runs. bootci uses and random selection of your data so the results can differ by a very small amount. If you're getting noticable different results between runs, someting is wrong. Either you're not runing enough boot straps (1000 should be enough but you could try more) or you're not providing the same exact input data between runs. This is definitely something you want to investigate.
- I still don't understand your dataset enough to imagine this comparison. If any given data point has a thickness property and an orientation property and you want to know whether thickness or orientation has a stronger effect, then I don't think you can do that with this bootstrapping method which makes me fear that this entire multiple-day thread has nothing to do with your actual goals. The main lesson, if this is the case, is that the data and the goals must be crystal clear to you and to the readers before a useful answer can be written.
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