Should I raise alpha level to increase statistical power for my data?

I am running a paired samples t-test. n=29. Should I raise the alpha from .05 to .1? I was told this can increase statistical power for this sample size but should it be done?

Currently my paired sample t-test says, t(28) = 1.593, p = .061, one-sided. cohen's d 5.28835.

https://www.statisticshowto.com/tables/t-distribution-table/

Thanks so much

• Those are considerations that you should make before making your analysis. I recommend you check stats.stackexchange.com/search?q=p+hacking
– Tim
May 15, 2021 at 16:47
• You should set $\alpha$ before you look at the data based on your tolerance of false positives. If your experiment leads to to think you should have asked a different question (including asking the same question a different way) then you should ask it the new question with new data. If you are not getting enough power, your results next time will be more convincing to others if you use a larger sample size rather than shifting $\alpha$ beyond usual practice (you have already started down that road with a one-sided test) May 15, 2021 at 16:55