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micray
There is a decreased likelihood of statistically significant findings due to the much higher threshold (lower p-value).
+5
drpee
The lower you make your p-value, the harder it will be to prove the relationship. That's why I always go with a p-value of .49 in my research.
+2
lba9587
Because BOTH values are significant. PValue of Less than or equal to 0.05 is significant.
+1
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submitted by โbwdc(697)
The alpha-value corresponds to the p-value we will accept as significant and reflects the likelihood of a type I error (a false positive). A lower alpha-value means a lower acceptable likelihood of obtaining the same results by chance, and thus, significant results can be reported more confidently (a 1% false positive rate instead of a 5% rate).