OBJECTIVES: To describe the calibration of the Spinal Cord Injury-Functional Index (SCI-FI) and report on the initial psychometric evaluation of the SCI-FI scales in each content domain. DESIGN: Cross-sectional survey followed by calibration data simulations. SETTING: Inpatient and community settings. PARTICIPANTS: A sample of participants (N=855) with traumatic spinal cord injury (SCI) recruited from 6 SCI Model Systems and stratified by diagnosis, severity, and time since injury. INTERVENTIONS: None. MAIN OUTCOME MEASURE: SCI-FI instrument. RESULTS: Item response theory analyses confirmed the unidimensionality of 5 SCI-FI scales: basic mobility (54 items), fine motor function (36 items), self-care (90 items), ambulation (39 items), and wheelchair mobility (56 items). All SCI-FI scales revealed strong psychometric properties. High correlations of scores on simulated computer adaptive testing (CAT) with the overall SCI-FI domain scores indicated excellent potential for CAT to accurately characterize functional profiles of adults with SCI. Overall, there was very little loss of measurement reliability or precision using CAT compared with the full item bank; however, there was some loss of reliability and precision at the lower and upper ranges of each scale, corresponding to regions where there were few questions in the item banks. CONCLUSIONS: Initial evaluation revealed that the SCI-FI achieved considerable breadth of coverage in each content domain and demonstrated acceptable psychometric properties. The use of CAT to administer the SCI-FI will minimize assessment burden, while allowing for the comprehensive assessment of the functional abilities of adults with SCI.
OBJECTIVES: To describe the calibration of the Spinal Cord Injury-Functional Index (SCI-FI) and report on the initial psychometric evaluation of the SCI-FI scales in each content domain. DESIGN: Cross-sectional survey followed by calibration data simulations. SETTING: Inpatient and community settings. PARTICIPANTS: A sample of participants (N=855) with traumatic spinal cord injury (SCI) recruited from 6 SCI Model Systems and stratified by diagnosis, severity, and time since injury. INTERVENTIONS: None. MAIN OUTCOME MEASURE: SCI-FI instrument. RESULTS: Item response theory analyses confirmed the unidimensionality of 5 SCI-FI scales: basic mobility (54 items), fine motor function (36 items), self-care (90 items), ambulation (39 items), and wheelchair mobility (56 items). All SCI-FI scales revealed strong psychometric properties. High correlations of scores on simulated computer adaptive testing (CAT) with the overall SCI-FI domain scores indicated excellent potential for CAT to accurately characterize functional profiles of adults with SCI. Overall, there was very little loss of measurement reliability or precision using CAT compared with the full item bank; however, there was some loss of reliability and precision at the lower and upper ranges of each scale, corresponding to regions where there were few questions in the item banks. CONCLUSIONS: Initial evaluation revealed that the SCI-FI achieved considerable breadth of coverage in each content domain and demonstrated acceptable psychometric properties. The use of CAT to administer the SCI-FI will minimize assessment burden, while allowing for the comprehensive assessment of the functional abilities of adults with SCI.
Authors: Elizabeth E Marfeo; Pengsheng Ni; Stephen M Haley; Kara Bogusz; Mark Meterko; Christine M McDonough; Leighton Chan; Elizabeth K Rasch; Diane E Brandt; Alan M Jette Journal: Arch Phys Med Rehabil Date: 2013-03-29 Impact factor: 3.966
Authors: Allen W Heinemann; Marcel P Dijkers; Pengsheng Ni; David S Tulsky; Alan Jette Journal: Arch Phys Med Rehabil Date: 2014-03-03 Impact factor: 3.966
Authors: Donna Huang; Chloe Slocum; Julie K Silver; James W Morgan; Richard Goldstein; Ross Zafonte; Jeffrey C Schneider Journal: J Spinal Cord Med Date: 2018-03-29 Impact factor: 1.985
Authors: Christine M McDonough; Alan M Jette; Pengsheng Ni; Kara Bogusz; Elizabeth E Marfeo; Diane E Brandt; Leighton Chan; Mark Meterko; Stephen M Haley; Elizabeth K Rasch Journal: Arch Phys Med Rehabil Date: 2013-03-29 Impact factor: 3.966
Authors: Denise Fyffe; Claire Z Kalpakjian; Mary Slavin; Pamela Kisala; Pengsheng Ni; Steven C Kirshblum; David S Tulsky; Alan M Jette Journal: J Spinal Cord Med Date: 2016-02-05 Impact factor: 1.985
Authors: Noelle E Carlozzi; Denise Fyffe; Kel G Morin; Rachel Byrne; David S Tulsky; David Victorson; Jin-Shei Lai; Jill M Wecht Journal: Arch Phys Med Rehabil Date: 2013-03-14 Impact factor: 3.966
Authors: Leah M Bent; M J Mulcahey; Erin H Kelly; Christina L Calhoun; Feng Tian; Pensheng Ni; Lawrence C Vogel; Stephen M Haley Journal: Top Spinal Cord Inj Rehabil Date: 2013