Internal Consistency > Split-Half Reliability

## What is Split-Half 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

- Administer the test to a large group students (ideally, over about 30).
- Randomly divide the test questions into two parts. For example, separate even questions from odd questions.
- Score each half of the test for each student.
- 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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kudos for the good work of making information easily accessible.

I have issues on reliability in research.

I have a 10 item questionnaire and intend to distribute among over 100 people and still want to check reliability without giving the questionnaire twice or to two or more group groups.

how do I check for reliability after collating the questionnaires?

How about Cronbach’s Alpha?

I want to calculate validity and reliability of instrument using Split-half and cronbach alpha coefficient to construct and content validity of the instrument, my question is how do I go about it.?

Thanks