The Shapiro-Wilk test is a method used to check if data follows a normal pattern, which is important in psychology. However, it does have some drawbacks:

1. Sensitivity to Sample Size:

   • In smaller groups of data, the test might not notice if the data isn't normal.
   • On the other hand, in larger groups, the test might signal a problem even if the difference is very small.

2. Interpretation Challenges:

   • The results can be confusing. If researchers don’t fully understand what the numbers mean, they might draw the wrong conclusions.

3. Alternative Solutions:

   • To help with these problems, researchers can look at graphical displays called Q-Q plots along with the Shapiro-Wilk test.
   • They can also use other tests, like the Kolmogorov-Smirnov test, to get a better idea of whether the data is normal.