We must master the reliability and validity in our learning because reliability and validity are a standard to measure our learning achievements.
Validity is validity, which refers to the degree to which measurement tools or means can accurately measure the things that need to be measured. Validity refers to the extent to which the measured results reflect the content to be investigated. The more consistent the measured results are with the content to be investigated, the higher the validity is; On the contrary, the lower the validity. There are three types of validity: content validity, criterion validity and construct validity.
Reliability refers to the consistency, stability, and reliability of test results. Generally, internal consistency is used to express the reliability of the test. The higher the reliability coefficient is, the more consistent, stable and reliable the test results are. Systematic error has little effect on the reliability because it always affects the measured values in the same way, so it will not cause inconsistency. On the contrary, random error may lead to inconsistency, thus reducing the reliability.
Generally speaking, it is not difficult to distinguish between reliability and validity. Reliability refers to reliability and consistency, especially whether the results of the two measurements are consistent; Validity refers to correctness and accuracy, that is, whether it can reflect a person’s real level.
