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Development, Variance Composition, Measurement Invariance Across Five Gender Identity Groups, and Validity of the Health Behavior Inventory-Short Form

机译:发展,差异组成,五个性别认同群体的测量不变性以及健康行为库存 - 简单形式的有效性

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摘要

The current study extended previous work on the Health Behavior Inventory-20, a multidimensional measure of health risk and promotion behaviors, in several ways. First, participants were diverse in gender, including both cisgender and transgender persons. Second, dimensionality was reassessed using exploratory factor analysis, which revealed four factors: Proper Use of Health Care Resources, Diet, Anger and Stress, and Substance Use. Third, based on these results, we applied and optimized classical test theory to develop the 12-item Health Behavior Inventory-Short Form. Fourth, the dimensionality of the Health Behavior Inventory-Short Form was assessed using confirmatory factor analysis on a separate sample. finding that the items loaded on the four specific factors as expected, and that the common factors model fit better than bifactor, hierarchical, and unidimensional models. This finding supports the use of the four subscale scores but not the use of a total score. Fifth, measurement invariance was assessed across five gender identity groups: cisgender men and women. transgender men and women, and nonbinary individuals. Evidence emerged for full configural and metric invariance for all factors, and for partial scalar invariance. Sixth, concurrent evidence emerged for the validity of the four specific factors by examining relationships with the Duke Health Profile. The results are discussed in relationship to previous literature, future research directions, applications to practice, and limitations. Data (N = 1,233, 34.3% transgender) were from community and college participants who responded to an online survey.
机译:当前的研究扩展了有关健康行为库存20的先前工作,这是对健康风险和促进行为的多维衡量。首先,参与者的性别多样化,包括顺式和跨性别者。其次,使用探索性因素分析对维度进行了重新评估,该因素分析揭示了四个因素:适当使用医疗资源,饮食,愤怒和压力以及使用物质。第三,基于这些结果,我们应用和优化的经典测试理论开发了12项健康行为库存缩短形式。第四,使用单独样本上的验证性因素分析评估了健康行为库存形式的维度。发现在预期的四个特定因素上加载的项目,并且公共因素模型比双分离器,分层和一维模型都更好。这一发现支持使用四个子量表分数,但不使用总分。第五,在五个性别​​认同群体中评估了测量不变性:男性男女。变性男人和女人以及非二进制个人。有证据表明所有因素的完整配置和度量不变性以及部分标量不变性。通过检查与杜克健康概况的关系,出现了第六个证据证明了这四个特定因素的有效性。与以前的文献,未来的研究方向,实践的应用和局限性讨论了结果。数据(n = 1,233,34.3%的变性者)来自对在线调查做出回应的社区和大学参与者。

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