Alpha is what you set. P value is what the computer calculates as the significance level. You (the researcher) compares the pvalue to your alpha. If's less than your alpha the results are significant.
I am doing a pearson product moment correlation but the results come with alpha=0.01. Can I change it to 0.05?
Alpha is what you set. P value is what the computer calculates as the significance level. You (the researcher) compares the pvalue to your alpha. If's less than your alpha the results are significant.
"If you torture the data long enough it will eventually confess."
-Ronald Harry Coase -
ajpnaveen (04-07-2012)
Just a couple of quick points.
You can have any Alpha level you like. In reality a large majority of people use 0.05 through tradition and custom. There is no statistical reason that I can see that we use 0.05 rather than 0.01 or 0.1
A result may be statistically significant but a little bit of common sense can go a long way in determining the practical significance of a result.
ajpnaveen (04-07-2012)
I moved the discussion to its own thread since it wasn't related to the thread you posted in.
"His programming is malfunctioning. It begins! Get your weapons, he's going to become a killbot!!!" - bryangoodrich
I would disagree slightly with this point. It is true that .05 is convention but the alpha level is the researcher's accepted threshold for making a type I error. This should be set with each experiment a priori, and really depends on numerous things, such as previous research in the area, use of results etc. but is sometimes influenced by a researcher's need to be published a posteriori. So, I'd say in a hamburger taste test a researcher chosen .1 may be fine but for a new cancer drug we'd want to see .05 or .01 alpha level. Sometimes alpha is called the confidence level. This is perhaps a better name for alpha as it better describes what it is.Originally Posted by Ventures
"If you torture the data long enough it will eventually confess."
-Ronald Harry Coase -
ajpnaveen (04-07-2012)
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