关键词: China disabled children everyday activities participation self-report

Mesh : Humans Male Cross-Sectional Studies Female China Child Psychometrics Adolescent Reproducibility of Results Young Adult Factor Analysis, Statistical Surveys and Questionnaires Child, Preschool Social Participation Occupational Therapy

来  源:   DOI:10.1080/11038128.2024.2348816

Abstract:
UNASSIGNED: Preliminary evidence of the content validity of the simplified Chinese version of \'Picture My Participation\' (PMP-C; Simplified) items and reliability of the subscale attendance for the effectiveness of the use with children and youth in mainland China has been collected. However, evidence of construct validity for the instrument is not yet available.
UNASSIGNED: To explore the construct validity of the attendance scale in PMP-C (Simplified).
UNASSIGNED: A cross-sectional study using convenience sampling was conducted using PMP-C (Simplified) with a picture-supported interview for 290 children and youths aged 5-21 with and without ID in urban and rural areas of mainland China. Exploratory factor analysis (EFA) was performed using the principal component analysis (PCA) to analyse the resulting data.
UNASSIGNED: The EFA extracted five factors with eigenvalues greater than one and the cumulative contribution rate of factors accounted for 51.62% of the variance. All items had factor loadings above 0.50. The five subcomponents included: organised activities, social activities, taking care of others, family life activities and personal care and development activities.
UNASSIGNED: The results of the factor analysis support the construct validity of the PMP-C (Simplified) attendance scale. It provides further psychometric evidence that PMP-C (Simplified) is a sound measure to assess participation for children and youths in mainland China.
摘要:
已收集了简体中文版“图片我的参与”(PMP-C;简体字)项目的内容有效性的初步证据,以及子表出勤对中国大陆儿童和青少年使用有效性的可靠性。然而,该工具的结构有效性的证据尚不可用。
探讨考勤量表在PMP-C(简体)中的结构效度。
使用PMP-C(简化)进行了一项便利抽样的横断面研究,并对290名5-21岁有身份证和无身份证的儿童和青少年进行了图片支持的访谈中国大陆的城市和农村地区。使用主成分分析(PCA)进行探索性因子分析(EFA)以分析所得数据。
EFA提取了5个特征值大于1的因子,因子的累积贡献率占方差的51.62%。所有项目的因子载荷均高于0.50。这五个子部分包括:有组织的活动,社会活动,照顾别人,家庭生活活动和个人护理和发展活动。
因子分析的结果支持PMP-C(简化)出勤量表的构造有效性。它提供了进一步的心理证据,表明PMP-C(简化版)是评估中国大陆儿童和青少年参与情况的良好方法。
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