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Research design: measurement, reliability, and validity

A A Nelson

    American Journal of Hospital Pharmacy
    |June 1, 1980
    PubMed
    Summary
    This summary is machine-generated.

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    This study explains measurement reliability and validity. Reliable measures are consistent, while valid measures accurately assess intended constructs, crucial for social science research.

    Area of Science:

    • Psychometrics
    • Social Sciences
    • Behavioral Sciences

    Background:

    • Measurement is fundamental to scientific inquiry.
    • Ensuring the quality of measurement is critical for research integrity.

    Purpose of the Study:

    • To define and differentiate the concepts of reliability and validity in measurement.
    • To outline methods for assessing both reliability and validity.
    • To emphasize the importance of reliable and valid measures in behavioral and social sciences.

    Main Methods:

    • Reliability is defined as measurement consistency and assessed via retest, alternative-form, split-halves, or internal consistency methods.
    • Validity is defined as measuring the intended construct and assessed via content, criterion-related, or construct validation methods.

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  • The study discusses the nature of errors (random vs. systematic) impacting reliability and validity.

    • Main Results:

    • Reliable measures exhibit low random errors, ensuring consistency across repeated measurements.
    • Valid measures exhibit low nonrandom (systematic) errors, accurately reflecting the construct of interest.
    • Both reliability and validity are essential, but distinct, qualities of a sound measurement instrument.

    Conclusions:

    • Researchers must rigorously evaluate both the reliability and validity of their chosen measures.
    • Understanding and applying methods for assessing reliability and validity are crucial for credible social and behavioral research.
    • Accurate measurement underpins the meaningful interpretation of research findings in these fields.