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Reliability in measurement refers to the consistency of a measure or assessment. When a measurement is reliable, it produces stable and consistent results over time, across different contexts, or among different observers. This means that if the same measurement is repeated under the same conditions, the outcomes should be similar. Consistency is crucial in ensuring that the measurement accurately reflects the construct it is intended to measure.

For example, if a reliable psychological test is administered multiple times to the same individuals, their scores should not fluctuate significantly, indicating that the test is dependable and trustworthy. This characteristic is essential in fields such as rehabilitation counseling, where consistent assessment outcomes can inform treatment planning and evaluation.

Other aspects such as validity, bias, and predictive outcomes are valuable but do not directly define reliability. Validity refers to how accurately a measure reflects the construct it claims to measure, whereas bias addresses systematic errors that can affect the accuracy of the measure. Predictive outcomes relate to how well a measure forecasts future behavior or performance but do not inherently imply reliability. Thus, the notion of consistency is central to understanding reliability in measurement.