Suppr超能文献

童年不良经历的因子结构检验及三个分量表得分的建议

Examination of the Factorial Structure of Adverse Childhood Experiences and Recommendations for Three Subscale Scores.

作者信息

Ford Derek C, Merrick Melissa T, Parks Sharyn E, Breiding Matthew J, Gilbert Leah K, Edwards Valerie J, Dhingra Satvinder S, Barile John P, Thompson William W

机构信息

Northrop Grumman, Atlanta, Georgia and Division of Population Health, National Center for Chronic Disease Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia.

Division of Violence Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia.

出版信息

Psychol Violence. 2014 Oct;4(4):432-444. doi: 10.1037/a0037723.

Abstract

OBJECTIVE

The purpose of the current investigation is to assess and validate the factor structure of the Behavioral Risk Factor Surveillance System's (BRFSS) Adverse Childhood Experience (ACE) module.

METHOD

ACE data available from the 2009 BRFSS survey were fit using exploratory factor analysis (EFA) to estimate an initial factorial structure. The exploratory solution was then validated using confirmatory factor analysis (CFA) with data from the 2010 BRFSS survey. Lastly, ACE factors were tested for measurement invariance using multiple group factor analysis.

RESULTS

EFA results suggested that a 3-factor solution adequately fit the data. Examination of factor loadings and item content suggested the factors represented the following construct areas: Household Dysfunction, Emotional/Physical Abuse, and Sexual Abuse. Subsequent CFA results confirmed the 3-factor solution and provided preliminary support for estimation of an overall latent ACE score summarizing the responses to all available items. Measurement invariance was supported across both gender and age.

CONCLUSIONS

Results of this study provides support for the use of the current ACE module scoring algorithm, which uses the sum of the number of items endorsed to estimate exposure. However, the results also suggest potential benefits to estimating 3 separate composite scores to estimate the specific effects of exposure to Household Dysfunction, Emotional/Physical Abuse, and Sexual Abuse.

摘要

目的

本研究旨在评估和验证行为危险因素监测系统(BRFSS)儿童期不良经历(ACE)模块的因子结构。

方法

使用探索性因子分析(EFA)对2009年BRFSS调查中的ACE数据进行拟合,以估计初始因子结构。然后,使用2010年BRFSS调查的数据,通过验证性因子分析(CFA)对探索性解决方案进行验证。最后,使用多组因子分析测试ACE因子的测量不变性。

结果

EFA结果表明,三因子解决方案能很好地拟合数据。对因子载荷和项目内容的检查表明,这些因子代表以下结构领域:家庭功能失调、情感/身体虐待和性虐待。随后的CFA结果证实了三因子解决方案,并为估计总结所有可用项目回答的总体潜在ACE分数提供了初步支持。性别和年龄的测量不变性均得到支持。

结论

本研究结果支持使用当前的ACE模块评分算法,该算法使用认可项目的数量总和来估计暴露情况。然而,结果还表明,估计3个单独的综合分数以评估家庭功能失调、情感/身体虐待和性虐待暴露的特定影响可能具有益处。

相似文献

3
Measurement Invariance of Adverse Childhood Experiences Across Teacher Age and Race.不良童年经历在教师年龄和种族间的测量不变性
J Aggress Maltreat Trauma. 2024;33(6):727-742. doi: 10.1080/10926771.2024.2323651. Epub 2024 Feb 27.

引用本文的文献

本文引用的文献

5
The PHQ-8 as a measure of current depression in the general population.PHQ-8作为一般人群当前抑郁状况的一种测量工具。
J Affect Disord. 2009 Apr;114(1-3):163-73. doi: 10.1016/j.jad.2008.06.026. Epub 2008 Aug 27.
6
Sensitive questions in surveys.调查中的敏感问题。
Psychol Bull. 2007 Sep;133(5):859-83. doi: 10.1037/0033-2909.133.5.859.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验