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Psychometric properties of a computerized adaptive test for assessing mobility in older adults using novel video-animation technology

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Abstract

Purpose

This paper reports on the psychometric properties of a computerized adaptive test (CAT) version of the Mobility Assessment Tool (MAT) for older adults (MAT-CAT).

Methods

An item pool of 78 video-animation-based items for mobility was developed, and response data were collected from a sample of 234 participants aged 65–90 years. The video-animation-based instrument was designed to minimize ambiguity in the presentation of task demands. In addition to evaluating traditional psychometric properties including dimensionality, differential item functioning (DIF), and local dependence, we extensively tested the performance of several MAT-CAT measures and compared their performances with a fixed format.

Results

Operationally, the MAT-CAT was sufficiently unidimensional and had acceptable levels of local independence. One DIF item was removed. Most importantly, the CAT measures showed that even starting with a single fixed item at the mean ability, the adaptive version delivered better performance than the fixed format in terms of several criteria including the standard error of estimate.

Conclusion

The MAT-CAT demonstrated satisfactory psychometric properties and superior performance to a fixed format. The video-animation-based adaptive instrument can be used for assessing mobility with specificity and precision.

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Abbreviations

DIF:

Differential item functioning

MAT:

Mobility Assessment Tool

HRQOL:

Health-related quality of life

PRO:

Patient-reported outcome

HIPAA:

Health Insurance Portability and Accountability Act of 1996

CAT:

Computerized adaptive test

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Acknowledgments

The research has been supported by the following grants from the National Institute of Aging: P30 AG21332.

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Authors and Affiliations

  1. Department of Biostatistical Sciences, Wake Forest School of Medicine, Medical Center Blvd., WC23, Winston-Salem, NC, 27157, USA

    Edward H. Ip, Ryan Barnard & Shyh-Huei Chen

  2. Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA

    W. Jack Rejeski & Anthony P. Marsh

Authors
  1. Edward H. Ip
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  2. W. Jack Rejeski
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  3. Anthony P. Marsh
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  4. Ryan Barnard
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  5. Shyh-Huei Chen
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Correspondence to Edward H. Ip.

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Ip, E.H., Rejeski, W.J., Marsh, A.P. et al. Psychometric properties of a computerized adaptive test for assessing mobility in older adults using novel video-animation technology. Qual Life Res 22, 1907–1915 (2013). https://doi.org/10.1007/s11136-012-0346-9

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  • DOI: https://doi.org/10.1007/s11136-012-0346-9

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