What is alternate reliability?

Alternate-form reliability is the consistency of test results between two different – but equivalent – forms of a test. Alternate-form reliability is used when it is necessary to have two forms of the same tests.

What is construct reliability?

Composite reliability (sometimes called construct reliability) is a measure of internal consistency in scale items, much like Cronbach’s alpha (Netemeyer, 2003). It can be thought of as being equal to the total amount of true score variance relative to the total scale score variance (Brunner & Süß, 2005).

What is parallel form reliability?

Parallel forms reliability is a measure of reliability obtained by administering different versions of an assessment tool (both versions must contain items that probe the same construct, skill, knowledge base, etc.) to the same group of individuals.

What is the reliability of research?

In simple terms, research reliability is the degree to which research method produces stable and consistent results. A specific measure is considered to be reliable if its application on the same object of measurement number of times produces the same results.

How are reliability and validity assessed in science?

A valid measurement is generally reliable: if a test produces accurate results, they should be reproducible. How are reliability and validity assessed? Reliability and validity are closely related, but they mean different things. A measurement can be reliable without being valid. However, if a measurement is valid, it is usually also reliable.

Why is the reliability of a test retest important?

Alternatively, if the duration is too long it is feasible that the participants could have changed in some important way which could also bias the results. The test-retest method assesses the external consistency of a test. This refers to the degree to which different raters give consistent estimates of the same behaviour.

How to produce valid generalizable results in research?

To produce valid generalizable results, clearly define the population you are researching (e.g. people from a specific age range, geographical location, or profession). Ensure that you have enough participants and that they are representative of the population. Reliability should be considered throughout the data collection process.