There cannot be validity without reliability Reliability is comparatively easier and yields faster results. Validity has more analysis and is harder to achieve. Influencing factors for reliability are: test length, test score variability, heterogenicity, etc. Influencing factors for validity are: process, purpose, theory matters, logical implications, etc. Reliability mainly focuses on maintaining consistent result Reliability looks at repeatability/consistency

It relates to the extent to which an experiment, test or any procedure gives the same result on repeated trials.Ĭan relate to question of ‘Does it measure what it is supposed to measure’?Ĭan relate to question, ‘How representative is the measurement’?Īnswers, ‘Is it the right instrument/test for what I need to measure?’Īnswers, ‘Can the results obtained be replicated if the test is repeated?’ It relates to the correct applicability of the instrument/test/procedure in a needed situation It refers to the reproducibility of the results when repeated measurements are done It refers to the ability of the instrument/test to measure what it is supposed to measure Reliability refers to the degree to which assessment tool produces consistent results, when repeated measurements are made. Validity implies the extent to which the research instrument measures, what it is intended to measure.

Here you have all the major differences between Validity and Reliability and what it actually means: VALIDITY

Validity and reliability