Gender identity is a core component of human experience, critical to account for in broad health, development, psychosocial research, and clinical practice. Yet, the psychometric characterization of gender has been impeded due to challenges in modeling the myriad gender self-descriptors, statistical power limitations related to multigroup analyses, and equity-related concerns regarding the accessibility of complex gender terminology. Therefore, this initiative employed an iterative multi-community-driven process to develop the Gender Self-Report (GSR), a multidimensional gender characterization tool, accessible to youth and adults, nonautistic and autistic people, and gender-diverse and cisgender individuals. In Study 1, the GSR was administered to 1,654 individuals, sampled through seven diversified recruitments to be representative across age (10-77 years), gender and sexuality diversity (∼33% each gender diverse, cisgender sexual minority, cisgender heterosexual), and autism status (> 33% autistic). A random half-split subsample was subjected to exploratory factor analytics, followed by confirmatory analytics in the full sample. Two stable factors emerged: Nonbinary Gender Diversity and Female-Male Continuum (FMC). FMC was transformed to Binary Gender Diversity based on designated sex at birth to reduce collinearity with designated sex at birth. Differential item functioning by age and autism status was employed to reduce item-response bias. Factors were internally reliable. Study 2 demonstrated the construct, convergent, and ecological validity of GSR factors. Of the 30 hypothesized validation comparisons, 26 were confirmed. The GSR provides a community-developed gender advocacy tool with 30 self-report items that avoid complex gender-related "insider" language and characterize diverse populations across continuous multidimensional binary and nonbinary gender traits. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

中文翻译：

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性别自我报告：针对性别多样化和顺性别青年和成年人的多维性别表征工具。

性别认同是人类经验的核心组成部分，对于广泛的健康、发展、心理社会研究和临床实践至关重要。然而，由于对无数性别自我描述建模的挑战、与多组分析相关的统计能力限制以及对复杂性别术语的可访问性的公平相关担忧，性别的心理测量表征受到阻碍。因此，该倡议采用了迭代的多社区驱动流程来开发性别自我报告（GSR），这是一种多维性别表征工具，可供青少年和成人、非自闭症和自闭症患者以及性别多样化和顺性别个体使用。在研究 1 中，GSR 对象为 1,654 名个体，通过七次多样化的招募进行抽样，以在年龄（10-77 岁）、性别和性取向多样性（每种性别多样化、顺性别少数群体、顺性别异性恋）中具有代表性，以及自闭症状况（> 33% 自闭症）。对随机的半分割子样本进行探索性因子分析，然后对整个样本进行验证性分析。出现了两个稳定因素：非二元性别多样性和女性-男性连续体（FMC）。FMC转变为基于出生时指定性别的二元性别多样性，以减少与出生时指定性别的共线性。采用按年龄和自闭症状况区分的项目功能来减少项目反应偏差。因素是内部可靠的。研究 2 论证了 GSR 因素的构建、收敛和生态有效性。在 30 项假设验证比较中，26 项得到证实。GSR 提供​​了社区开发的性别倡导工具，其中包含 30 个自我报告项目，避免了复杂的与性别相关的“内部”语言，并通过连续的多维二元和非二元性别特征来描述不同人群的特征。（PsycInfo 数据库记录 (c) 2023 APA，保留所有权利）。