Therefore, we can claim that a test is reliable if the test results it produces is consistent without changing every time. Reliability refers to the degree to which the result of a measurement, calculation, or specification can be depended on to be accurate or the consistency of the test results. External validity -If the results can be generalized beyond the immediate studyīoth these types of validity are relevant to evaluating the validity of a research study or a procedure.Internal validity – the instruments or procedures used in the research study measured what they were supposed to measure.Therefore, validity is an indication of how sound your research or the test is. So, if the test measures the attitude levels of the community regarding the particular social practice, without measuring anything else like the impact of the social practice on the social community, then we can say that the test is valid or the validity of the test is achieved. Say, for example, your test intends to measure the attitudes of a community towards a social practice of the area. Thus, validity refers to the credibility or believability of the research.
Kelly (1927) who stated that a test is valid if it measures what it claims to measure, formulated the concept of validity. Therefore, it is a scientific test or piece of research that actually measures what it sets out to measure, or how well it reflects the reality it claims to represent. In other words, it means the accuracy of a test.
Validity is the extent to which a test measures what it claims to measure.
– Comparison of Key Differences Key Terms What is the Difference Between Validity and Reliability What is the Relationship Between Validity and ReliabilityĤ. Outside the research field, however, these two words are used interchangeably. Usually, these two measurements are used in psychological tests and research materials. Tests or research of any kind is measured upon validity and reliability. The main difference between validity and reliability is that validity is the extent to which a test measures, and what it claims to measure whereas reliability refers to the consistency of the test results.
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