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Arch Phys Med Rehabil. 2013 Nov;94(11):2157-65. doi: 10.1016/j.apmr.2013.05.017. Epub 2013 Jun 13.

Measuring enfranchisement: importance of and control over participation by people with disabilities.

Author information

1
Department of Physical Medicine and Rehabilitation, Feinberg School of Medicine, Northwestern University, Chicago, IL; Rehabilitation Institute of Chicago, Chicago, IL. Electronic address: a-heinemann@northwestern.edu.

Abstract

OBJECTIVE:

To evaluate the psychometric properties and validity of an expanded set of community enfranchisement items that are suitable for computer adaptive testing.

DESIGN:

Survey.

SETTING:

Community setting.

PARTICIPANTS:

Individuals with disabilities (N=1163) were recruited from an online panel generation company (51%), former rehabilitation inpatients (18%), disability community organizations (13%), a registry of rehabilitation patients (10%), and Traumatic Brain Injury and Spinal Cord Injury Model System facilities (8%). Inclusion criteria were a self-identified disability, aged ≥18 years, and the ability to read and speak English.

INTERVENTIONS:

None.

MAIN OUTCOME MEASURE:

Community enfranchisement.

RESULTS:

Exploratory and confirmatory factor analyses of the 48 enfranchisement items suggested 2 distinct subsets of items: (1) importance of participation and (2) control over participation. Principal components analysis of the residuals suggested that the 2 item sets are unidimensional. Rating scale analysis provided evidence that the 2 item sets fit the Rasch model. Importance and control were moderately correlated with each other and with disability severity.

CONCLUSIONS:

Importance of participation and control over participation define 2 distinct sets of participation enfranchisement. Preliminary evidence supports their validity.

KEYWORDS:

CFA; CFI; DIF; EFA; ICF; IRT; International Classification of Functioning, Disability and Health; PCA; Psychometrics; Quality of life; RMSEA; Rehabilitation; Social participation; comparative fit index; confirmatory factor analysis; differential item functioning; exploratory factor analysis; item response theory; principal components analysis; root mean square error of approximation

PMID:
23769764
DOI:
10.1016/j.apmr.2013.05.017
[Indexed for MEDLINE]

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