The Eating Disorder Inventory-Drive for Thinness (EDI-DT) subscale is commonly used in research and as an eating disorder screening measure, but extant evidence is scant regarding its psychometric properties. University and community samples often are treated as interchangeable in terms of research conclusions. Given established demographic differences between these two populations, the present study tested measurement invariance of the EDI-DT across these two sample types. Two large samples of university students (n = 537; 50% female, 67% White; n = 584; 52% female, 67% White) and community participants (n = 535; 57% female, 81% White; n = 533; 63% female, 82% White) completed the EDI-DT online. Multiple group confirmatory factor analyses tested configural, metric, scalar, and strict invariance by sample type. The EDI-DT subscale was not invariant across university and community samples. Post-hoc-regularized multiple nonlinear factor analyses suggested potential item bias associated with sample type, age, and body mass index on six of the seven items. Item bias, however, appeared to be associated with minimal clinical impact. Collectively, results suggest that the EDI-DT may be functionally invariant and appropriate for use with broad populations. (PsycInfo Database Record (c) 2021 APA, all rights reserved)

中文翻译：

---

跨大学和社区样本的饮食失调库存驱动瘦子量表的不变性。

饮食失调库存驱动瘦身 (EDI-DT) 分量表通常用于研究和作为饮食失调筛查措施，但关于其心理测量学特性的现有证据很少。就研究结论而言，大学和社区样本通常被视为可互换的。鉴于这两个人群之间已确定的人口统计学差异，本研究测试了 EDI-DT 在这两种样本类型中的测量不变性。大学生（n = 537；50% 女性，67% 白人；n = 584；52% 女性，67% 白人）和社区参与者（n = 535；57% 女性，81% 白人；n= 533; 63% 女性，82% 白人）在线完成了 EDI-DT。多组验证性因素分析按样本类型测试了配置、度量、标量和严格不变性。EDI-DT 分量表在大学和社区样本中并非一成不变。事后正则化多重非线性因素分析表明，七个项目中有六个与样本类型、年龄和体重指数相关的潜在项目偏差。然而，项目偏倚似乎与最小的临床影响有关。总的来说，结果表明 EDI-DT 在功能上可能是不变的，并且适用于广泛的人群。（PsycInfo 数据库记录 (c) 2021 APA，保留所有权利）