Abstract
Objective
To develop a computerized adaptive test of social functioning (Social-CAT) for patients
with stroke.
Design
This study contained 2 phases. First, a unidimensional item bank was formed using
social-related items with sufficient item fit (ie, infit and outfit mean square [MNSQ]).
The social-related items were selected from 3 commonly used patient-reported quality-of-life
measures. Items with differential item functioning (DIF) of sex were deleted. Second,
we performed simulations to determine the best set of stopping rules with both high
reliability and efficiency. The participants' responses to the items were extracted
from a previous study.
Setting
Rehabilitation wards and departments of rehabilitation/neurology of 5 general hospitals.
Participants
Patients (N=263) with stroke (47.1% were inpatients).
Interventions
Not applicable.
Main Outcome Measure
Social-CAT.
Results
The unidimensionality of the 24 selected items was supported (infit and outfit MNSQs
=0.8–1.2). One item had DIF of sex and was deleted. The item bank was composed of
the remaining 23 items. With the best set of stopping rules (person reliability ≥.90
or limited reliability increased ≤.001), the Social-CAT used on average 10 items to
achieve sufficient reliability (average person reliability =.88; 81.0% of the patients
with reliability ≥.90).
Conclusions
The Social-CAT appears to be a unidimensional measure with acceptable reliability
and efficiency, and it could be useful for both clinicians and patients in time-pressed
clinical settings.
Keywords
List of abbreviations:
CAT (computerized adaptive testing), DIF (differential item functioning), HRQOL (health-related quality of life), LRI (limited reliability increase), MNSQ (mean square), SIS (Stroke Impact Scale), Social-CAT (computerized adaptive testing of social functioning), SSQOL (Stroke-Specific Quality of Life Scale), WHOQOL-BREF (World Health Organization Quality of Life–Brief Version)To read this article in full you will need to make a payment
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Article info
Publication history
Published online: October 06, 2017
Footnotes
Disclosures: none.
Identification
Copyright
© 2017 by the American Congress of Rehabilitation Medicine
