Statistics How To

Split-Half Reliability: Definition, Steps

Internal Consistency > Split-Half Reliability

What is Split-Half Reliability?

split-half reliability

Split-half testing measures reliability.

In split-half reliability, a test for a single knowledge area is split into two parts and then both parts given to one group of students at the same time. The scores from both parts of the test are correlated. A reliable test will have high correlation, indicating that a student would perform equally well (or as poorly) on both halves of the test.

Split-half testing is a measure of internal consistency — how well the test components contribute to the construct that’s being measured. It is most commonly used for multiple choice tests you can theoretically use it for any type of test — even tests with essay questions.

Steps

  1. Administer the test to a large group students (ideally, over about 30).
  2. Randomly divide the test questions into two parts. For example, separate even questions from odd questions.
  3. Score each half of the test for each student.
  4. Find the correlation coefficient for the two halves. See: Find Pearson’s Correlation Coefficient for steps.

Drawbacks

One drawback with this method — it only works for a large set of questions (a 100 point test is recommended) which all measure the same construct/area of knowledge. For example, this personality inventory test measures introversion, extroversion, depression and a variety of other personality traits. This is not a good candidate for split-half testing.

Difference with Parallel Forms

Split half-reliability is similar to parallel forms reliability, which uses one set of questions divided into two equivalent sets. The sets are given to the same students, usually within a short time frame, like one set of test questions on Monday and another set on Friday. With split-half reliability, the two tests are given to one group of students who sit the test at the same time. Another difference: the two tests in parallel forms reliability are equivalent and are independent of each other. This is not true with split-half reliability; the two sets do not have to be equivalent (“parallel”).

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Split-Half Reliability: Definition, Steps was last modified: November 13th, 2017 by Stephanie