.. which of the following is not a form
concorrent validity & Face validity
(c) Conductive validity (0) Convergent validity
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Validity is the extent to which a concept,[1] conclusion or measurement is well-founded and likely corresponds accurately to the real world. The word "valid" is derived from the Latin validus, meaning strong. The validity of a measurement tool (for example, a test in education) is the degree to which the tool measures what it claims to measure.[2] Validity is based on the strength of a collection of different types of evidence (e.g. face validity, construct validity, etc.) described in greater detail below.
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In quantitative research, you have to consider the reliability and validity of your methods and measurements.
Validity tells you how accurately a method measures something. If a method measures what it claims to measure, and the results closely correspond to real-world values, then it can be considered valid. There are four main types of validity:
Construct validity: Does the test measure the concept that it’s intended to measure?
Content validity: Is the test fully representative of what it aims to measure?
Face validity: Does the content of the test appear to be suitable to its aims?
Criterion validity: Do the results correspond to a different test of the same thing?
Note that this article deals with types of test validity, which determine the accuracy of the actual components of a measure. If you are doing experimental research, you also need to consider internal and external validity, which deal with the experimental design and the generalizability of results.
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Validity tells you how accurately a method measures something. If a method measures what it claims to measure, and the results closely correspond to real-world values, then it can be considered valid. There are four main types of validity:
Construct validity: Does the test measure the concept that it’s intended to measure?
Content validity: Is the test fully representative of what it aims to measure?
Face validity: Does the content of the test appear to be suitable to its aims?
Criterion validity: Do the results correspond to a different test of the same thing?
Note that this article deals with types of test validity, which determine the accuracy of the actual components of a measure. If you are doing experimental research, you also need to consider internal and external validity, which deal with the experimental design and the generalizability of results.
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