Definition: "Split-half correlation" is a statistical term used to measure how consistent a test is. It looks at the scores from two different halves of the same test to see if they are similar. If the scores are similar, it means the test is reliable.
Imagine you have a math test with 20 questions. You could split this test into two halves: the first 10 questions and the last 10 questions. After students take the test, you calculate their scores for both halves. If students scored similarly on both halves, the split-half correlation is high, suggesting the test is reliable.
In research papers or studies, you might see "split-half correlation" used to discuss the reliability of a new test being developed. Researchers might report a high split-half correlation to indicate that their test measures what it is supposed to measure consistently.
While "split-half correlation" does not have direct idioms or phrasal verbs associated with it, here are some related phrases: - "Split down the middle": This means to divide something equally. - "Half measures": This phrase refers to doing something in a way that is not complete or thorough, similar to how one might view a less reliable test.
Understanding "split-half correlation" will help you grasp how researchers check if their tests are consistent.