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残疾身份认同发展量表的心理测量特性:验证性因素分析和双因素分析

Psychometric properties of the Disability Identity Development Scale: Confirmatory factor and bifactor analyses.

作者信息

Forber-Pratt Anjali J, Price Larry R, Merrin Gabriel J, Hanebutt Rachel A, Fairclough Javari A

机构信息

Department of Human and Organizational Development.

Department of Mathematics.

出版信息

Rehabil Psychol. 2022 May;67(2):120-127. doi: 10.1037/rep0000445. Epub 2022 Apr 4.

Abstract

PURPOSE/OBJECTIVE: This work provides comprehensive analyses targeting the factor structure and dimensionality of the Disability Identity Development Scale (DIDS). In Forber-Pratt et al., 2020, disability was defined broadly to include individuals with visible or hidden disabilities across many disability groups (i.e., physical, intellectual, learning, or chronic illness).

RESEARCH METHOD/DESIGN: Retained items from previous exploratory factor analysis were administered to a sample of adults with disabilities ( = 1,126) ranging in age from 18-78 years. Confirmatory factor analytics (CFA) including traditional CFA, and bifactor confirmatory analyses were used to examine the dimensionality and structure of the DIDS.

RESULTS

Traditional CFA provided lack of evidence in support of the oblique four-factor structure previously reported. Bifactor confirmatory analysis revealed items on the DIDS are consistent with unidimensional, and to a lesser degree multidimensional solutions (i.e., items lacked a level of content diversity to substantiate a complex, reliable multifactor structure).

DISCUSSION/CONCLUSION: Analytic results on the DIDS revealed reasonable psychometric properties as a measure of disability identity. Our results support using a sum or total score of disability identity. Results of this work are an important contribution to a growing body of literature supporting, and investigating, disability identity development. Furthermore, the DIDS measure with its resulting composite score of disability identity has the potential to inform clinicians in the field of rehabilitation psychology as well as informing future targeted interventions. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

摘要

目的/目标:本研究针对残疾身份发展量表(DIDS)的因子结构和维度进行了全面分析。在Forber-Pratt等人2020年的研究中,残疾的定义较为宽泛,包括许多残疾群体(即身体、智力、学习或慢性病)中患有显性或隐性残疾的个体。

研究方法/设计:将先前探索性因子分析中保留的项目施测于1126名年龄在18至78岁之间的成年残疾样本。采用验证性因子分析(CFA),包括传统CFA和双因素验证性分析,来检验DIDS的维度和结构。

结果

传统CFA缺乏证据支持先前报道的斜交四因素结构。双因素验证性分析表明,DIDS上的项目与单维以及在较小程度上与多维解决方案一致(即项目缺乏足够的内容多样性来证实一个复杂、可靠的多因素结构)。

讨论/结论:对DIDS的分析结果显示,作为一种残疾身份测量工具,它具有合理的心理测量特性。我们的结果支持使用残疾身份的总和或总分。这项工作的结果对支持和研究残疾身份发展的不断增长的文献做出了重要贡献。此外,具有残疾身份综合得分的DIDS测量工具有可能为康复心理学领域的临床医生提供信息,并为未来的针对性干预提供参考。(PsycInfo数据库记录(c)2022美国心理学会,保留所有权利)

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