Reliability can be explained as the consistency of a measure. It allows you to study the properties and items of the measurement scale. The researchers can assess the stability of measures through this method. Along with the measurement, it provides information about the individual items in the scale. This analysis makes sure that the measurements are consistent while we measure something like productivity, efficiency, knowledge etc. High reliability means higher consistent measurements over time and thus the results of the test can be trusted.

This analysis determines the level of error in the test results due to poor test construction. The process is as follows:-

The highest is the correlation analysis between the two halves, the higher is the internal consistency of the test or survey.

This analysis determines the level of error in the test results due to administration problems. The process is as follows:-

This analysis determines the level of error in the test results due to outside effects. The process is as follows:-

In this method, multiple qualified raters or judges rate each item on a test and then calculate the overall per cent agreement between raters or judges. Here the reliability analysis is determined by the higher percentage of agreement between the judges.

Reliability coefficient R is also used to calculate a standard error of measurement.

It is calculated as:

SEm = s√1-R

where:

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