Ickpyo Hong1, Mi Jung Lee2, Moon Young Kim3, Hae Yean Park4. 1. Division of Rehabilitation Sciences, University of Texas Medical Branch, 301 University Blvd, Galveston, TX, 77555, USA. 2. Department of Occupational Therapy, University of Florida, PO BOX 100164, Gainesville, FL, 32611, USA. 3. Department of Occupational Therapy, College of Health Science, Yonsei University, Backun-kwan, 1 Yonseidae-gil, Wonju-si, Kangwon-do, 26493, South Korea. 4. Department of Occupational Therapy, College of Health Science, Yonsei University, Backun-kwan, 1 Yonseidae-gil, Wonju-si, Kangwon-do, 26493, South Korea. haepark@yonsei.ac.kr.
Abstract
PURPOSE: The aim of this study is to investigate the psychometrics of the 12 items of an instrument assessing activities of daily living (ADL) using an item response theory model. METHODS: A total of 648 adults with physical disabilities and having difficulties in ADLs were retrieved from the 2014 Korean National Survey on People with Disabilities. The psychometric testing included factor analysis, internal consistency, precision, and differential item functioning (DIF) across categories including sex, older age, marital status, and physical impairment area. RESULTS: The sample had a mean age of 69.7 years old (SD = 13.7). The majority of the sample had lower extremity impairments (62.0%) and had at least 2.1 chronic conditions. The instrument demonstrated unidimensional construct and good internal consistency (Cronbach's alpha = 0.95). The instrument precisely estimated person measures within a wide range of theta values (-2.22 logits < θ < 0.27 logits) with a reliability of 0.9. Only the changing position item demonstrated misfit (χ2 = 36.6, df = 17, p = 0.0038), and the dressing item demonstrated DIF on the impairment type (upper extremity/others, McFadden's Pseudo R 2 > 5.0%). CONCLUSIONS: Our findings indicate that the dressing item would need to be modified to improve its psychometrics. Overall, the ADL instrument demonstrates good psychometrics, and thus, it may be used as a standardized instrument for measuring disability in rehabilitation contexts. However, the findings are limited to adults with physical disabilities. Future studies should replicate psychometric testing for survey respondents with other disorders and for children.
PURPOSE: The aim of this study is to investigate the psychometrics of the 12 items of an instrument assessing activities of daily living (ADL) using an item response theory model. METHODS: A total of 648 adults with physical disabilities and having difficulties in ADLs were retrieved from the 2014 Korean National Survey on People with Disabilities. The psychometric testing included factor analysis, internal consistency, precision, and differential item functioning (DIF) across categories including sex, older age, marital status, and physical impairment area. RESULTS: The sample had a mean age of 69.7 years old (SD = 13.7). The majority of the sample had lower extremity impairments (62.0%) and had at least 2.1 chronic conditions. The instrument demonstrated unidimensional construct and good internal consistency (Cronbach's alpha = 0.95). The instrument precisely estimated person measures within a wide range of theta values (-2.22 logits < θ < 0.27 logits) with a reliability of 0.9. Only the changing position item demonstrated misfit (χ2 = 36.6, df = 17, p = 0.0038), and the dressing item demonstrated DIF on the impairment type (upper extremity/others, McFadden's Pseudo R 2 > 5.0%). CONCLUSIONS: Our findings indicate that the dressing item would need to be modified to improve its psychometrics. Overall, the ADL instrument demonstrates good psychometrics, and thus, it may be used as a standardized instrument for measuring disability in rehabilitation contexts. However, the findings are limited to adults with physical disabilities. Future studies should replicate psychometric testing for survey respondents with other disorders and for children.
Entities:
Keywords:
Activities of daily living; Assessment; Item response theory; Psychometrics
Authors: Lester R Curtin; Leyla K Mohadjer; Sylvia M Dohrmann; Jill M Montaquila; Deanna Kruszan-Moran; Lisa B Mirel; Margaret D Carroll; Rosemarie Hirsch; Susan Schober; Clifford L Johnson Journal: Vital Health Stat 2 Date: 2012-05
Authors: Bryce B Reeve; Ron D Hays; Jakob B Bjorner; Karon F Cook; Paul K Crane; Jeanne A Teresi; David Thissen; Dennis A Revicki; David J Weiss; Ronald K Hambleton; Honghu Liu; Richard Gershon; Steven P Reise; Jin-shei Lai; David Cella Journal: Med Care Date: 2007-05 Impact factor: 2.983
Authors: Chad E Cook; Jan K Richardson; Ricardo Pietrobon; Larissa Braga; Henrique Martins Silva; Dennis Turner Journal: Disabil Rehabil Date: 2006-08-15 Impact factor: 3.033