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Measurement bias across gender on the children's depression inventory - Evidence for invariance from two latent variable models

机译：儿童抑郁量表上不同性别的测量偏差-来自两个潜在变量模型的不变性证据

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摘要

Confirmatory factor analysis for ordered-categorical measures (CFA-OCM) and rating scale item response theory (IRT) analyses explore measurement bias across gender on the Children's Depression Inventory (CDI) in a community sample of 779 children in the third and sixth grades. Given the set of statistical criteria, IRT and CFA-OCM generally establish measurement equivalence. Results substantiate both Craighead et al.'s five-factor model and IRT models with the CDI, demonstrate their convergence regarding bias, support the use of the CDI in cross-gender comparisons, suggest a separate scoring method need not be developed for children in this age range, and provide evidence that previously noted developmental similarities in depression reflect true similarities. Given measurement invariance, observed score analyses demonstrate no statistically significant differences between boys and girls on the CDI total score and four scores created as a function of the factor model. However, girls endorse statistically significant elevated levels on a dysphoria score.
机译：对有序分类测量（CFA-OCM）的验证性因素分析和等级量表项目反应理论（IRT）分析在3年级和6年级的779名儿童社区样本中探索了儿童抑郁量表（CDI）上不同性别的测量偏差。给定一组统计标准，IRT和CFA-OCM通常会建立度量等效项。结果使用CDI证实了Craighead等人的五因素模型和IRT模型，证明了它们在偏见方面的收敛性，支持在跨性别比较中使用CDI，表明不需要为儿童使用单独的评分方法这个年龄范围，并提供证据证明以前提到的抑郁症的发展相似之处反映了真实的相似之处。在给定测量不变性的情况下，观察到的分数分析表明，男孩和女孩在CDI总分数上没有统计学上的显着差异，并且根据因子模型创建了四个分数。但是，女孩在烦躁不安评分上认可统计学上显着的升高水平。

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