Smith Theresa M, Krishnan Shilpa, Hong Ickpyo, Reistetter Timothy A
Theresa M. Smith, PhD, OTR, CLVT, is Associate Professor, School of Occupational Therapy, Texas Woman's University, Houston;
Am J Occup Ther. 2019 May/Jun;73(3):7303205070p1-7303205070p11. doi: 10.5014/ajot.2019.031070.
This study's objective was to test the psychometrics of Smith's (2013) Low Vision Independence Measure (LVIM) using the Rasch model.
A cohort design was used with 93 participants receiving occupational therapy for low vision. Confirmatory factor analysis (CFA) with a parceling approach was used to test the LVIM factors and Rasch analysis to examine item-level psychometrics.
Participants' average age was 78.9 yr (standard deviation = 12.1), and the majority were female (72.8%) with macular degeneration (62.3%). The CFA revealed two measurement factors: visual field or scotoma (n = 28) and visual acuity (n = 24). We removed six misfitting items, and the two factors of the revised LVIM demonstrated good rating scale function, good internal consistency (person reliability: visual field, .87; visual acuity, .90), good precision (person strata: visual field, 3.91; visual acuity, 4.40), no ceiling or floor effects, and no differential item functioning.
The revised LVIM demonstrates good psychometrics on the Rasch model and can be used as a valid outcome measure in low vision rehabilitation.
本研究旨在使用拉施模型检验史密斯(2013年)的低视力独立测量量表(LVIM)的心理测量学特性。
采用队列设计,93名接受低视力职业治疗的参与者纳入研究。使用带有分组方法的验证性因素分析(CFA)来检验LVIM因素,并使用拉施分析来检查项目层面的心理测量学特性。
参与者的平均年龄为78.9岁(标准差 = 12.1),大多数为女性(72.8%),患有黄斑变性(62.3%)。CFA揭示了两个测量因素:视野或暗点(n = 28)和视力(n = 24)。我们剔除了6个拟合不佳的项目,修订后的LVIM的两个因素表现出良好的量表功能、良好的内部一致性(个人信度:视野,0.87;视力,0.90)、良好的精度(个人分层:视野,3.91;视力,4.40),没有天花板效应或地板效应,也没有项目功能差异。
修订后的LVIM在拉施模型上表现出良好的心理测量学特性,可作为低视力康复中的有效结局测量指标。