The reliability of parallel forms measures the correlation between two equivalent versions of a test. You use it when you have two different assessment tools or sets of questions that have been designed to measure the same thing. Two common methods are used to measure internal consistency. Have you ever wondered what your personality means? Sign up to learn more in our Healthy Mind Newsletter. Reliability is related to the consistency of a measurement. A test is considered reliable if we get the same result repeatedly. For example, if a test is to measure a characteristic (for example. B introversion), the results should be about the same each time the test is administered to a subject. Unfortunately, it is impossible to accurately calculate reliability, but it can be estimated in different ways. The most common way to measure the reliability of parallel forms is to create a large set of questions to evaluate the same thing, and then randomly divide them into two questions.
There are a number of factors that can influence the reliability of a measurement. First, and perhaps most obviously, it is important that the thing being measured is fairly stable and consistent. If the measured variable is something that changes regularly, the test results will not be consistent. This form of reliability is used to assess the consistency of results beyond the elements of the same test. Essentially, compare test elements that measure the same construction to determine the internal consistency of the tests. There are four main types of reliability. Each can be assessed by comparing different sets of results obtained using the same method.