A computer adaptive testing simulation applied to the FIM instrument motor component.
OBJECTIVE: To determine whether computer adaptive testing (CAT) can be used to decrease the number of FIM trade mark instrument motor component items administered in assessing persons with spinal cord injury (SCI). DESIGN: For a CAT simulation, a 3-step algorithm was used to select 6 FIM items for e...
| Publicado en: | Archives of Physical Medicine & Rehabilitation Vol. 84; no. 3; pp. 384 - 394 |
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| Autor principal: | |
| Formato: | research tables/charts Journal Article |
| Publicado: |
W B Saunders
2003 Mar
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106851704&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106851704 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00039993 1XL jtl: Archives of Physical Medicine & Rehabilitation issn: 00039993 maglogo: N pubinfo: dt: 2003 Mar vid: 84 iid: 3 pid: 1351 pub: W B Saunders place: Philadelphia, Pennsylvania artinfo: ui: 106851704 106851704 2003096879 NLM12638107 106851704 ppf: 384 ppct: 10 formats: tig: atl: A computer adaptive testing simulation applied to the FIM instrument motor component. aug: au: Dijkers MP affil: Mount Sinai School of Medicine, Dept of Rehabilitation Medicine, Box 1240, One Gustave Levy Pl, New York, NY 10029-6574; marcel.dijkers@mountsinai.org sug: subj: Diagnosis, Computer Assisted Methods Spinal Cord Injuries Diagnosis Clinical Assessment Tools Evaluation Outcome Assessment Methods Clinical Assessment Tools Computers and Computerization Disability Evaluation Spinal Cord Injuries Physiopathology Computer Simulation Calibration Resource Databases Rasch Analysis Intraclass Correlation Coefficient Funding Source Human ab: OBJECTIVE: To determine whether computer adaptive testing (CAT) can be used to decrease the number of FIM trade mark instrument motor component items administered in assessing persons with spinal cord injury (SCI). DESIGN: For a CAT simulation, a 3-step algorithm was used to select 6 FIM items for each individual; items were selected according to the subject's motor ability as estimated by 2 initial items. Separate estimates of motor ability for admission, discharge, and follow-up data (plus combined time points) derived from 6 items were compared statistically with estimates derived from 14 items (walking and wheelchair mobility were split). SETTING: Records from the Spinal Cord Injury Model Systems (SCIMS). PARTICIPANTS: Patients served by the SCIMS, for whom complete motor FIM information was available for rehabilitation admission (N=5,969), discharge (N=5,964), or follow-up at a first or later anniversary (N=5,176). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Similarity of mean, standard deviation, skewness, kurtosis, and Rasch reliability and separation of persons and items based on 6 and 13 items; intraclass correlation coefficient (ICC) for parallel estimates. RESULTS: Calibrations for FIM items and FIM steps differed for the 3 time points, but showed sufficient agreement (ICC, >.90) that combined calibration was feasible. Means and other distribution characteristics differed minimally between the 6- and 13-item estimates. The person and item separations and reliabilities were somewhat lower and the mean measurement errors somewhat higher for the 6-item estimates, but only marginally so. ICCs between 6- and 13-item estimates were .95 or higher. CONCLUSION: CAT can be used to reduce data collection time; the level of precision of estimates is minimally less than that provided by traditional assessment approaches. Copyright 2003 by the American Congress of Rehabilitation Medicine and the American Academy of Physical Medicine and Rehabilitation pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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