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Related Experiment Videos

Summed-score linking using item response theory: application to depression measurement.

M Orlando, C D Sherbourne, D Thissen

    Psychological Assessment
    |October 6, 2000
    PubMed
    Summary

    This study introduces an item response theory (IRT) method for linking depression scales. A modified CES-D scale was successfully linked to the standard version, providing a practical tool for depression risk assessment.

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    Area of Science:

    • Psychological Measurement
    • Psychometrics
    • Mental Health Assessment

    Background:

    • The Center for Epidemiologic Studies Depression Scale (CES-D) is a widely used measure for assessing depression.
    • Accurate and consistent measurement of depression risk is crucial for patient outcomes research.
    • Linking different versions of assessment scales is essential for longitudinal studies and comparing data across different time points or populations.

    Purpose of the Study:

    • To present and demonstrate an item response theory (IRT) approach for test linking using summed scores.
    • To calibrate a modified 23-item CES-D scale to the standard 20-item CES-D scale.
    • To establish a method for translating scores between the two CES-D versions.

    Main Methods:

    • Utilized an item response theory (IRT) framework, specifically F. Samejima's graded IRT model.

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  • Simultaneously calibrated responses from 1,120 participants to both the original and modified CES-D versions.
  • Linked the two scales using derived summed-score-to-IRT-score translation tables.

    • Main Results:

    • The study successfully linked a modified 23-item CES-D to the standard 20-item CES-D using an IRT summed-score approach.
    • A cut score of 16 on the standard CES-D was found to correspond most closely to a summed score of 20 on the modified version.
    • The derived translation tables provided a practical method for score conversion.

    Conclusions:

    • The IRT summed-score approach is a straightforward, valid, and practical method for test linking.
    • This methodology can be applied in various research settings requiring the comparison of scores from different but related assessment instruments.
    • The findings facilitate more accurate depression risk assessment and outcome tracking in research.