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本文引用的文献

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Constructing validity: New developments in creating objective measuring instruments.结构效度:客观测量工具的新发展。
Psychol Assess. 2019 Dec;31(12):1412-1427. doi: 10.1037/pas0000626. Epub 2019 Mar 21.
2
A simulation study provided sample size guidance for differential item functioning (DIF) studies using short scales.一项模拟研究为使用短量表的项目功能差异(DIF)研究提供了样本量指导。
J Clin Epidemiol. 2009 Mar;62(3):288-95. doi: 10.1016/j.jclinepi.2008.06.003. Epub 2008 Sep 6.
3
Formalizing dimension and response violations of local independence in the unidimensional Rasch model.形式化一维拉施模型中局部独立性的维度和反应违背情况。
J Appl Meas. 2008;9(3):200-15.
4
The Rasch measurement model in rheumatology: what is it and why use it? When should it be applied, and what should one look for in a Rasch paper?风湿病学中的拉施测量模型:它是什么以及为何使用它?何时应应用该模型,在一篇拉施模型论文中应关注哪些方面?
Arthritis Rheum. 2007 Dec 15;57(8):1358-62. doi: 10.1002/art.23108.
5
Comparability of Mayo-Portland Adaptability Inventory ratings by staff, significant others and people with acquired brain injury.梅奥-波特兰适应能力量表评分在工作人员、重要他人及后天性脑损伤患者之间的可比性。
Brain Inj. 2004 Jun;18(6):563-75. doi: 10.1080/02699050310001646134.
6
Further psychometric evaluation and revision of the Mayo-Portland Adaptability Inventory in a national sample.梅奥-波特兰适应性量表在全国样本中的进一步心理测量学评估与修订
J Head Trauma Rehabil. 2003 Nov-Dec;18(6):479-92. doi: 10.1097/00001199-200311000-00002.
7
Characteristics of successful and unsuccessful completers of 3 postacute brain injury rehabilitation pathways.三种急性脑损伤后康复途径成功与未成功完成者的特征。
Arch Phys Med Rehabil. 2002 Dec;83(12):1759-64. doi: 10.1053/apmr.2002.36072.
8
Detecting and evaluating the impact of multidimensionality using item fit statistics and principal component analysis of residuals.使用项目拟合统计和残差主成分分析来检测和评估多维性的影响。
J Appl Meas. 2002;3(2):205-31.
9
A medical/vocational case coordination system for persons with brain injury: an evaluation of employment outcomes.针对脑损伤患者的医疗/职业病例协调系统:就业成果评估
Arch Phys Med Rehabil. 2000 Aug;81(8):1007-15. doi: 10.1053/apmr.2000.6980.
10
Refining a measure of brain injury sequelae to predict postacute rehabilitation outcome: rating scale analysis of the Mayo-Portland Adaptability Inventory.完善脑损伤后遗症测量方法以预测急性后期康复结局:梅奥-波特兰适应性量表的评定量表分析
J Head Trauma Rehabil. 2000 Feb;15(1):670-82. doi: 10.1097/00001199-200002000-00006.

基于社区康复样本的 Mayo-Portland 适应能力量表(MPAI-4)的 Rasch 测量分析。

Rasch measurement analysis of the Mayo-Portland Adaptability Inventory (MPAI-4) in a community-based rehabilitation sample.

机构信息

Department of PM&R, Indiana University School of Medicine, Indianapolis, Indiana 46254, USA.

出版信息

J Neurotrauma. 2011 May;28(5):745-53. doi: 10.1089/neu.2010.1573. Epub 2011 Apr 12.

DOI:10.1089/neu.2010.1573
PMID:21332409
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3088961/
Abstract

The precise measurement of patient outcomes depends upon clearly articulated constructs and refined clinical assessment instruments that work equally well for all subgroups within a population. This is a challenging task in those with acquired brain injury (ABI) because of the marked heterogeneity of the disorder and subsequent outcomes. Although essential, the iterative process of instrument refinement is often neglected. This present study was undertaken to examine validity, reliability, dimensionality and item estimate invariance of the Mayo-Portland Adaptability Inventory - 4 (MPAI-4), an outcome measure for persons with ABI. The sampled population included 603 persons with traumatic ABI participating in a home- and community-based rehabilitation program. Results indicated that the MPAI-4 is a valid, reliable measure of outcome following traumatic ABI, which measures a broad but unitary core construct of outcome after ABI. Further, the MPAI-4 is composed of items that are unbiased toward selected subgroups except where differences could be expected [e.g., more chronic traumatic brain injury (TBI) patients are better able to negotiate demands of transportation than more acute TBI patients]. We address the trade-offs between strict unidimensionality and clinical applicability in measuring outcome, and illustrate the advantages and disadvantages of applying single-parameter measurement models to broad constructs.

摘要

患者结局的精确测量取决于清晰表达的结构和经过改进的临床评估工具,这些工具在人群中的所有亚组中同样有效。在获得性脑损伤 (ABI) 患者中,这是一项具有挑战性的任务,因为该疾病及其随后的结果存在明显的异质性。尽管这是必不可少的,但仪器改进的迭代过程往往被忽视。本研究旨在检查 Mayo-Portland 适应能力量表 - 4(MPAI-4)的有效性、可靠性、维度和项目估计不变性,这是一种用于 ABI 患者的结局测量工具。抽样人群包括 603 名外伤性 ABI 患者,他们参加了家庭和社区康复计划。结果表明,MPAI-4 是外伤性 ABI 后结局的有效、可靠的测量工具,它测量了 ABI 后广泛但单一的核心结局结构。此外,MPAI-4 由针对特定亚组无偏见的项目组成,除非可以预期差异[例如,更多慢性创伤性脑损伤 (TBI) 患者比更急性 TBI 患者更能够应对交通需求]。我们在测量结局时讨论了严格的单维性和临床适用性之间的权衡,并说明了将单参数测量模型应用于广泛结构的优缺点。