Okay. In this recording we're going to look at conducting a dependent T test using JASP. Here's my data and I'm going to look at the variables pre and post. It's a common use for a dependent T test where you have the same subjects tested twice in a pre-post experiment. So I'm going to go to T tests and here they call it paired samples T test, not dependent T test but it's the same thing. And I want to put in, so I just move my pair over so I can highlight pre and click it over. I can also drag and drop it over which is fine.
And then we can see my results. Move it over there so you can see it. Here are my results. So again, I have significance here and again this notation is just a way to simplify big numbers. So, in this case we have to move the decimal 0.9 places to the left. So it's 0.00000 again moving that nine places over so there'd be eight zeros and that is definitely lower than 0.05. So we have significance. And then we see our T value and our degrees of freedom. We don't know the nature of the difference, was the pretest score higher or lower. Descriptors will tell us that. We can see that the post-test scored higher. And then again, a descriptive plot can show us visually that the post-test group scored quite a bit higher than the pre-test group. So, that is the dependent T test using JASP.