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Increasing Financial Empowerment among Survivors of Intimate Partner Violence: A Growth Curve Analysis
American Journal of Community Psychology ( IF 3.4 ) Pub Date : 2020-12-18 , DOI: 10.1002/ajcp.12491
Laura Johnson 1
Affiliation  

Financial empowerment interventions are often used with survivors of intimate partner violence (IPV) to improve their financial well-being. However, few evaluations actually measure financial empowerment as an outcome. Thus, the purpose of this study was to develop and test a conceptual model for financial empowerment and then use the model to evaluate the effectiveness of a financial literacy intervention at increasing financial empowerment for survivors. The conceptual model was guided by Christens’ nomological network for psychological empowerment and included four components: emotional, cognitive, relational, and behavioral. The analyses used data from a randomized controlled trial evaluating Moving Ahead, a financial literacy program developed for IPV survivors (n = 449). To determine whether this intervention was effective at increasing financial empowerment for survivors over time, confirmatory factor analyses were run to test for longitudinal measurement invariance, followed by a curve-of-factors growth model (CFM) with assignment as a time-invariant predictor of change. Strict partial longitudinal measurement invariance was achieved and CFM results found assignment to be significantly associated with both initial status (.054, p = .042) and change over time (.114, p = .000). Results suggest that this conceptual model for financial empowerment fit the data well and the intervention was effective.

中文翻译:

增加亲密伴侣暴力幸存者的经济赋权:增长曲线分析

财务赋权干预措施通常用于亲密伴侣暴力 (IPV) 的幸存者,以改善他们的财务状况。然而,很少有评估真正将金融赋权作为结果来衡量。因此,本研究的目的是开发和测试金融赋权的概念模型,然后使用该模型评估金融素养干预在增加幸存者金融赋权方面的有效性。概念模型以克里斯滕斯的心理授权规则网络为指导,包括四个组成部分:情感、认知、关系和行为。分析使用了随机对照试验的数据,该试验评估了为 IPV 幸存者开发的金融扫盲计划(n = 449)。为了确定这种干预是否能有效地随着时间的推移增加幸存者的经济赋权,进行了验证性因素分析以测试纵向测量不变性,然后是因子曲线增长模型 (CFM),其分配为时不变预测因子改变。实现了严格的部分纵向测量不变性,CFM 结果发现分配与初始状态 (.054, p  = .042) 和随时间的变化 (.114, p  = .000)显着相关。结果表明,这种金融赋权的概念模型与数据很好地吻合,干预是有效的。
更新日期:2020-12-18
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