Abstract
Objectives
To describe the development of a participation measure that assesses 3 domains (productivity,
social, and community) and 4 dimensions (frequency, diversity, desire for change,
and perceived difficulty) of participation and to evaluate the initial psychometric
properties in rehabilitation outpatients.
Design
A mixed-method approach included a literature review, item selection, expert reviews,
cognitive interviews, and field testing with rehabilitation outpatients. Confirmatory
factor analysis (CFA) and Rasch analysis were used to validate the construct validity
of the difficulty dimension of the instrument.
Setting
Outpatient rehabilitation programs.
Participants
An expert panel consisting of 12 rehabilitation and measurement experts contributed
to measurement development; 20 rehabilitation outpatients participated in cognitive
interviews; and a sample of rehabilitation outpatients (N=556) (average age, 61.36±23.62y;
53% men) participated in field testing.
Interventions
Not applicable.
Main Outcome Measure
The Participation Measure–3 Domains, 4 Dimensions (PM-3D4D).
Results
A scoring method for each dimension of the PM-3D4D was established. The instrument
displayed good overall model fit in the CFA and unidimensionality across 3 domains
after removing and collapsing locally dependent items identified from a principal
component analysis. However, considering the poor personal reliability of the social
subscale and its high correlation with the community subscale, we decided to merge
the 2 subscales into 1. The combined subscale showed improved reliability and good
construct validity by demonstrating a good model fit (comparative fit index, .985;
Tucker-Lewis Index, .982, root mean square error of approximation, .061) and item
fit.
Conclusions
The PM-3D4D is a newly developed participation measure designed to assess multiple
domains and dimensions of participation by rehabilitation patients. The psychometric
analysis results supported the construct of the instrument and helped item revision.
Further examination of the validity and reliability of the PM-3D4D will be conducted.
Keywords
List of abbreviations:
CFA (confirmatory factor analysis), CFI (comparative fit index), PCA (principal component analysis), PM-3D4D (Participation Measure–3 Domains, 4 Dimensions), RMSEA (root mean square error of approximation), TLI (Tucker-Lewis Index)To read this article in full you will need to make a payment
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Article info
Publication history
Published online: September 01, 2016
Footnotes
Supported by the Ministry of Science and Technology, Taiwan (grant no. MOST104-2314-B-038-003).
Disclosures: none.
Identification
Copyright
© 2016 by the American Congress of Rehabilitation Medicine
