Problemas

Which of the following phrases is the best explanation of this statement? "Reliability is a necessary condition but is not a sufficient condition for validity." If a test does not deliver consistent results, the test is not valid.Just because the test is reliable does not mean that it is valid. Conditions for reliability depend on a statistical analysis of validity. If a test is not valid, its reliability,or consistency of results.must be examined. However if a test is valid, its reliability can be assumed. The relationship between reliability and validity is reciprocal. An increase in validity causes an increase in reliability and vice versa.
Solución
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Ernestomaestro · Tutor durante 5 años
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4.1 (180 votos)
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B
Explicar
## Step 1<br />The problem is asking us to identify the correct explanation of the statement "Reliability is a necessary condition but is not a sufficient condition for validity." This statement is a fundamental concept in the field of psychology, particularly in the areas of psychological testing and measurement.<br /><br />## Step 2<br />The statement implies that for a test to be valid, it must first be reliable. This means that the test must consistently produce the same results under the same conditions. This is the definition of reliability.<br /><br />## Step 3<br />However, the statement also implies that reliability alone does not guarantee validity. This means that even if a test is consistently producing the same results, it may not necessarily measure what it is intended to measure. This is the definition of validity.<br /><br />## Step 4<br />By examining the options provided, we can see that option B, "If a test does not deliver consistent results, the test is not valid. Just because the test is reliable does not mean that it is valid," accurately reflects the relationship between reliability and validity as described in the original statement.
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