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      • A measurement must be reliable first before it has a chance of being valid. After all, if you don’t obtain consistent measurements for the same object or person under similar conditions, it can’t be valid. If your scale displays a different weight every time you step on it, it’s unreliable, and it is also invalid.
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  2. Reliability and validity, jointly called the “psychometric properties” of measurement scales, are the yardsticks against which the adequacy and accuracy of our measurement procedures are evaluated in scientific research.

  3. In a nutshell, reliability relates to the consistency of measures, and validity addresses whether the measurements are quantifying the correct attribute. In this post, learn about reliability vs. validity, their relationship, and the various ways to assess them.

  4. Jul 3, 2019 · A reliable measurement is not always valid: the results might be reproducible, but they’re not necessarily correct. A valid measurement is generally reliable: if a test produces accurate results, they should be reproducible.

  5. Four indicators of construct validity are relevant to scale development: convergent validity, discriminant validity, differentiation by known groups, and correlation analysis. Convergent validity is the extent to which a construct measured in different ways yields similar results.

  6. Nov 10, 2009 · In the physical world we generally take the reliability and validity of measurements for granted: when we measure weight, length, height and temperature, we usually have a familiar standard and even personal experience against which to compare measurements.

    • Katrina Bannigan, Roger Watson
    • 2009
  7. Jan 1, 2015 · Validity and reliability of these scales are crucial and special tests have been developed in this respect. Reliability concerns often arise, due to external factors that can influence the power and significance of such tests.

  8. May 3, 2022 · A measurement can be reliable without being valid. However, if a measurement is valid, it is usually also reliable. What is reliability? Reliability refers to how consistently a method measures something. If the same result can be consistently achieved by using the same methods under the same circumstances, the measurement is considered reliable.

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