亲密伴侣施暴的通用测量方法的有效性:对中低收入国家试验研究推论的影响

IF 3.6 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Cari Jo Clark , Irina Bergenfeld , Abbie Shervinskie , Erin R. Johnson , Yuk Fai Cheong , Nadine J. Kaslow , Kathryn M. Yount
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引用次数: 0

摘要

在中低收入国家(LMICs),有关减少亲密伴侣间暴力行为(IPV)干预措施的研究正在不断扩大,但尚未确定该行为的测量等效性。我们评估了最近在 LMICs 试验中使用的身体和性暴力 IPV 施行的测量等效性,并测试了非方差对试验推论的影响。利用最近在男性中开展的三项干预试验的数据(各项研究的样本量为 505-1537 个),我们计算了各项目之间的四项相关性,并使用多组确证因子分析来评估不同干预措施和不同时期的不变量。我们还评估了治疗效果,对协变量不平衡进行了调整,并在必要时使用反概率治疗权重来评估不变量测量与已发表结果的一致性。各项目之间的平均相关性很高,并且随着时间的推移而增加,有两项研究的几个项目在终点线时的相关性≥0.85。在两项研究中,身体 IPV 相关性的增加主要集中在治疗组。在不同的研究中,性 IPV 相关性的增加因治疗组而异。在所有研究中,根据 EFA 和 CFA,相关的双因素解决方案是最适合的模型。有一项研究证明了不同研究臂和不同时间段的测量不变性。在其中两项研究中,发现干预组存在纵向测量非方差。在事后测试中,一项研究的单因素模型达到了不变量,研究推论与已发表的结果一致。另一项研究甚至没有达到部分不变量。如果不做进一步改进,就无法使用常见的身体和性 IPV 施暴测量方法进行有效的效果评估。本研究强调了扩大项目集、内容效度评估、进一步测量不变性测试以及在未来干预试验中持续使用项目集的必要性,以支持准确推断预防施暴干预措施的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validity of a common measure of intimate partner violence perpetration: Impact on study inference in trials in low- and middle-income countries

Background

In lower-and middle-income countries (LMICs), studies of interventions to reduce intimate partner violence (IPV) perpetration are expanding yet measurement equivalence of the construct has not been established. We assessed the measurement equivalence of physical and sexual IPV perpetration used in recent trials in LMICs and tested the impact of non-invariance on trial inference.

Methods

With data from three recent intervention trials among men (sample size 505–1537 across studies), we calculated tetrachoric correlations among items and used multiple-group confirmatory factor analysis to assess invariance across arms and over time. We also assessed treatment effects adjusting for covariate imbalance and using inverse probability to treatment weights to assess concordance of invariant measures with published results, where warranted.

Findings.

The average correlation among items was high and increased over time with several items in two studies showing correlations ≥0.85 at endline. Increases in correlation for physical IPV were concentrated in the treatment arm in two of the studies. The increase in correlation in sexual IPV differed by arm across studies. Across all studies, a correlated two-factor solution was the best fitting model according to the EFAs and CFAs. One study demonstrated measurement invariance across arms and over time. In two of the studies, longitudinal measurement non-invariance was detected in the intervention arms. In post hoc testing, one study attained invariance with a one-factor model and study inference was concordant with published findings. The other study did not attain even partial invariance.

Conclusion

Common measures of physical and sexual IPV perpetration cannot be used for valid effect estimation without further refinement. The study highlights the need for an expanded item set, content validity assessments, further measurement invariance testing, and then consistent use of the item sets in future intervention trials to support accurate inference on the effectiveness of IPV perpetration prevention interventions.

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来源期刊
Ssm-Population Health
Ssm-Population Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.50
自引率
2.10%
发文量
298
审稿时长
101 days
期刊介绍: SSM - Population Health. The new online only, open access, peer reviewed journal in all areas relating Social Science research to population health. SSM - Population Health shares the same Editors-in Chief and general approach to manuscripts as its sister journal, Social Science & Medicine. The journal takes a broad approach to the field especially welcoming interdisciplinary papers from across the Social Sciences and allied areas. SSM - Population Health offers an alternative outlet for work which might not be considered, or is classed as ''out of scope'' elsewhere, and prioritizes fast peer review and publication to the benefit of authors and readers. The journal welcomes all types of paper from traditional primary research articles, replication studies, short communications, methodological studies, instrument validation, opinion pieces, literature reviews, etc. SSM - Population Health also offers the opportunity to publish special issues or sections to reflect current interest and research in topical or developing areas. The journal fully supports authors wanting to present their research in an innovative fashion though the use of multimedia formats.
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