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儿童症状清单-17:赞比亚艾滋病毒孤儿和弱势儿童中按性别和年龄划分的因子结构及统一的差异项目功能

Pediatric Symptom Checklist-17: Factor Structure and Uniform Differential Item Functioning Across Gender and Age in HIV Orphans and Vulnerable Children in Zambia.

作者信息

Li Nan, Tan Mei, Thuma Philip E, Grigorenko Elena L

机构信息

Department of Psychology, University of Houston, Houston, TX, USA.

School of Health Systems and Public Health, University of Pretoria, Zambia.

出版信息

Eur J Psychol Assess. 2023 May;39(3):165-175. doi: 10.1027/1015-5759/a000707. Epub 2022 Jun 1.

Abstract

This study aimed to investigate the psychometric properties of the Pediatric Symptom Checklist-17 (PSC-17) in a sample of children orphaned or made vulnerable (OVC) by HIV in Zambia. Caregivers of 1,076 OVC (55.1% boys; = 12.91 years) completed the PSC-17. Competing models, including confirmatory factor analysis (CFA), hierarchical CFA, bifactor CFA, exploratory structural equation modeling (ESEM), and bifactor ESEM, were tested to evaluate the optimal factor structure of the PSC-17. Results showed that the bifactor ESEM provided the best approximation of the PSC-17 data with a well-defined general psychosocial problems factor explaining 72% of the reliable variance in the total score and an internalizing factor containing 63% of reliable variance unique from the general factor. The observed overall psychosocial problems score was associated with lower academic achievement and working memory (with small effect sizes), supporting the discriminant validity of score interpretation. Results of multiple indicators multiple causes (MIMIC) analyses revealed that all items functioned equivalently across child gender and age.

摘要

本研究旨在调查赞比亚因艾滋病而成为孤儿或易受伤害儿童(OVC)样本中儿童症状清单 - 17(PSC - 17)的心理测量特性。1076名OVC的照料者(55.1%为男孩;平均年龄 = 12.91岁)完成了PSC - 17。对竞争模型进行了测试,包括验证性因素分析(CFA)、分层CFA、双因素CFA、探索性结构方程建模(ESEM)和双因素ESEM,以评估PSC - 17的最佳因素结构。结果表明,双因素ESEM对PSC - 17数据提供了最佳拟合,一个明确的一般心理社会问题因素解释了总分中72%的可靠方差,一个内化因素包含了63%独立于一般因素的可靠方差。观察到的总体心理社会问题得分与较低的学业成绩和工作记忆相关(效应量较小),支持了得分解释的区分效度。多指标多原因(MIMIC)分析结果表明,所有项目在儿童性别和年龄上的功能等效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/586c/10361684/4d6cb68a42bb/nihms-1794043-f0001.jpg

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