Reliability

It comes as a surprise to many people that most studies they come across - whether in journals or the news - aren’t actually reliable. As in, if we conducted them again we might not see the same results. 

This is problematic because you can’t trust a study that gives you different results each time. How do you know which results are right and which are wrong? That’s why it’s important to make sure your study is as reliable as possible. That it can be performed again and again and always show the same results. 

How do you accomplish this? How do you make sure your study is reliable?

That’s what we’ll be discussing in this lesson.

We’ll look at:
• Sample size 👨‍👩‍👧‍👧
• Confidence interval 💪🏼

See you there!