Reliability concerns the stability and consistency of measurement. A reliable test yields similar results under consistent conditions when administered repeatedly to the same group. High reliability means that measurement error is low and observed scores mainly reflect true differences among individuals. It is an important psychometric property but distinct from validity.
Option A:
Option A actually defines validity, which is about whether the instrument measures the intended construct. While validity is crucial, it is not the same as reliability. A tool can be reliable but still not valid.
Option B:
Option B correctly explains reliability as consistency of scores over time or across equivalent forms. Procedures such as test–retest, split half and inter rater reliability are used to estimate this property. When reliability is high, researchers can trust that variations in scores are not primarily due to random error.
Option C:
Option C claims that reliability is about one time administration, which has no conceptual basis. Reliability is specifically concerned with repeated or alternative measurements.
Option D:
Option D suggests that a reliable test always yields high scores, which is unrelated to the concept. Scores may be high or low depending on difficulty; reliability is about consistency, not level.
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