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Gepubliceerd in: Quality of Life Research 8/2013

01-10-2013

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

Auteurs: Edward H. Ip, W. Jack Rejeski, Anthony P. Marsh, Ryan Barnard, Shyh-Huei Chen

Gepubliceerd in: Quality of Life Research | Uitgave 8/2013

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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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Metagegevens
Titel
Psychometric properties of a computerized adaptive test for assessing mobility in older adults using novel video-animation technology
Auteurs
Edward H. Ip
W. Jack Rejeski
Anthony P. Marsh
Ryan Barnard
Shyh-Huei Chen
Publicatiedatum
01-10-2013
Uitgeverij
Springer Netherlands
Gepubliceerd in
Quality of Life Research / Uitgave 8/2013
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-012-0346-9

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