
On the other hand, reliability refers to the degree of reproducibility of the results, if repeated measurements are done. The degree to which the scale gauges, what it is designed to gauge, is known as validity.The points presented below, explains the fundamental differences between validity and reliability: Key Differences Between Validity and Reliability Designing the directions carefully for measurement by employing such individuals who have got enough experience and are motivated too, for carrying out research and also by increasing the number of samples being tested.source through which variation takes place should be removed or minimized. Standardizing the conditions under which the measurement occurs, i.e.When the research instrument conforms to reliability, then one can be sure that the temporary and situational factors are not interfering. Systematic errors do not affect reliability, but random errors lead to inconsistency of the results, thus lower reliability. Equivalence: Equivalence can be gauged when two researchers compare the observations of the same events.Stability: Degree of stability can be checked by making a comparison of the results of repeated measurement.There are two key aspects, which requires being indicated separately are: To assess reliability approaches used are test-retest, internal consistency methods, and alternative forms. Reliability is used to mean the extent to which the measurement tool provides consistent outcomes if the measurement is repeatedly performed. Construct Validity: Construct validity in a measure refers to the extent to which it adheres to estimated correlations with other theoretical suppositions.The criterion should be relevant, unbiased, reliable, etc. whether it performs as expected or estimated, with respect to the other variables, chosen as a meaningful parameter. Criterion Validity: The type of validity which gauges the performance of measuring instrument, i.e.Content Validity: Otherwise known as face validity, it is the point to which the scale provides adequate coverage of the subject being tested.There are three types of validity, which are: To be considered as perfectly valid, it should not possess any measurement error. Simply, it measures the point to which differences discovered with the scale reflect true differences, among objects on the characteristics under study, instead of a systematic and random error. It is the most important yardstick that signals the degree to which research instrument gauges, what it is supposed to measure. In statistics, the term validity implies utility.

Reliability refers to the degree to which scale produces consistent results, when repeated measurements are made.Ī reliable instrument need not be a valid instrument.

Validity implies the extent to which the research instrument measures, what it is intended to measure. This article will break down the fundamental differences between validity and reliability.

Validity is all about the genuineness of the research, whereas reliability is nothing but the repeatability of the outcomes.

These are certain preferred qualities which gauge the goodness in measuring the characteristics under consideration. For the purpose of checking the accuracy and applicability, a multi-item measurement scale needs to be evaluated, in terms of reliability, validity, and generalizability.
