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首页> 外文期刊>Developmental Medicine and Child Neurology >Rasch analysis of items from two self-report measures of motor function: Determination of item difficulty and relationships with children's ability levels
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Rasch analysis of items from two self-report measures of motor function: Determination of item difficulty and relationships with children's ability levels

机译:通过两项自我报告的运动功能测量对项目进行Rasch分析:确定项目难度以及与儿童能力水平的关系

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Aim The aim of this article was to determine item measurement properties of a set of items selected from the Gillette Functional Assessment Questionnaire (FAQ) and the Pediatric Outcome Data Collection Instrument (PODCI) using Rasch analysis, and to explore relationships between the FAQ/PODCI combined set of items, FAQ walking scale level, Gross Motor Function Classification System (GMFCS) levels, and the Gait Deviation Index on a common measurement scale. Method Rasch analysis was performed on data from a retrospective chart review of parent-reported FAQ and PODCI data from 485 individuals (273 males; 212 females; mean age 9y 10mo, SD 3y 10mo) who underwent first-time three-dimensional gait analysis. Of the 485 individuals, 289 had a diagnosis of cerebral palsy (104 GMFCS level I, 97 GMFCS level II, 69 GMFCS level III, and 19 GMFCS level IV). Rasch-based person abilities and item difficulties based on subgroups defined by the FAQ walking scale level, Gait Deviation Index, and the GMFCS level were compared. Results The FAQ/PODCI item set demonstrated necessary Rasch characteristics to support its use as a combined measurement scale. Item groupings at similar difficulty levels were consistent with the mean person abilities of subgroups based on FAQ walking scale level, Gait Deviation Index, and GMFCS level. Interpretation Rasch-derived person ability scores from the FAQ/PODCI combined item set are consistent with clinical measures. Rasch analysis provides insights that may improve interpretation of the difficulty of motor functions for children with disabilities.
机译:目的本文的目的是确定使用Rasch分析从吉列功能评估问卷(FAQ)和儿科结果数据收集工具(PODCI)中选择的一组项目的项目测量属性,并探索FAQ / PODCI之间的关系组合的项目集,常见问题解答步行量表级别,大运动功能分类系统(GMFCS)级别和步态偏差指数(使用通用的量表)。方法Rasch分析是根据父母报告的FAQ和PODCI数据的回顾性图表回顾数据进行的,这些数据来自进行首次三维步态分析的485名个体(273名男性; 212名女性;平均年龄9y 10mo,SD 3y 10mo)。在485名患者中,有289名被诊断为脑瘫(104 GMFCS I级,97 GMFCS II级,69 GMFCS III级和19 GMFCS IV级)。基于常见问题解答步行量表级别,步态偏差指数和GMFCS级别定义的子组,比较了基于Rasch的人的能力和项目难度。结果FAQ / PODCI项目集展示了必要的Rasch特性,以支持将其用作组合测量秤。基于常见问题解答步行量表水平,步态偏差指数和GMFCS水平,处于相似难度水平的项目分组与子组的平均人能力相一致。解释FAQ / PODCI组合项目集中的Rasch派生人员能力评分与临床指标一致。 Rasch分析提供的见解可以改善对残疾儿童运动功能的解释。

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