作者
John F. Strang,Gregory L. Wallace,Jacob J. Michaelson,Abigail L. Fischbach,Taylor R. Thomas,Allison Jack,Jerry Shen,Diane Chen,Andrew M. Freeman,Megan Knauss,Blythe A. Corbett,Lauren Kenworthy,Amy C. Tishelman,Laura Willing,Goldie A. McQuaid,Eric E. Nelson,Russell B. Toomey,Jenifer K. McGuire,Jessica N. Fish,Scott Leibowitz,Leena Nahata,Laura G. Anthony,Graciela Slesaransky-Poe,Lawrence J. D’Angelo,Ann Clawson,Amber D. Song,Connor Grannis,Eleonora Sadikova,Kevin A. Pelphrey,Gendaar Consortium,Michael Mancilla,Lucy S. McClellan,Kelsey D. Csumitta,Molly R. Winchenbach,Amrita Jilla,Farrokh Alemi,Ji Seung Yang
摘要
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: