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An approach to modifying self-report instruments.

K Holm, J Kavanagh

    Research in Nursing & Health
    |March 1, 1985
    PubMed
    Summary
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    The Rasch model improved a self-report instrument by refining items. This method enhances measurement accuracy for psychological variables using fewer, stronger indicators.

    Area of Science:

    • Psychometrics
    • Latent Trait Theory

    Background:

    • Self-report instruments are widely used but can lack precise measurement properties.
    • The Rasch model offers a framework for evaluating and improving measurement scales.

    Purpose of the Study:

    • To apply the Rasch model to a 21-item self-report instrument.
    • To revise the instrument by eliminating items with poor measurement characteristics.
    • To enhance the overall measurement quality of the self-report tool.

    Main Methods:

    • Utilized the Rasch model, a type of latent trait model, for data analysis.
    • Assigned interval scale values to individual items based on respondent data.
    • Removed items falling below the calibrated mean to refine the instrument.

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    Main Results:

    • Successfully assigned interval scale values to the instrument's items.
    • Identified and eliminated weaker items, resulting in a more focused scale.
    • The revised instrument contains fewer items, all strong indicators of the target variable.

    Conclusions:

    • The Rasch model is effective for improving the measurement properties of self-report instruments.
    • Item reduction based on Rasch model calibration enhances scale precision.
    • This approach strengthens the validity and reliability of psychological measurements.