If the results of both show a significant correlation then the new one can be considered as valid.įace Validity - is the extent to which a method of measurement appears ‘at face value’ to measure what you are interested in. One has normally been established as a valid measure and the other will be a new one. It can be thought of as does the measurement tool really measure what it says it does.Ĭontent Validity - is an objective look at the items in a test to ascertain whether they all relate to and measure the construct in questionĬoncurrent Validity - is a comparison between two tests of a particular construct. Validity is the extent to which a concept is measured in a accurate way. Inter-rater: the degree to which different raters give consistent estimates, for instance of the same behaviour. on interviews. If similar results are obtained then external reliability is established. Usually it would involve giving participants the same test on two separate occasions, e.g. Test-retest reliability : measures consistency over time. It is not appropriate for a test which measure different things or constructs.Įxternal reliability : is the extent to which a measure varies from one use to another, If the two halves show similar results then this suggests that the test has internal reliability. first half and second half, by odd numbers and even numbers). The test can be split in half in several ways (i.e. This is usually done by comparing the results of one half of a test with the results from the other half. Split-half method: measures the extent to which all parts of the test contribute equally to what is being measured. it is looking at the consistency of people’s response. Internal reliability: is the extent to which items which make up a scale or measure are internally consistent i.e.
A reliable test would show a high positive correlation. If your findings from your research are replicated consistently they are reliable,Ī correlation coefficient can be used to assess the degree of reliability. In research it specifically refers to the consistency of a research study or test measure. Reliability in statistical terms can be considered the degree to which the results of a measurement, calculation can be depended on for its accuracy.
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