The Impact of COVID-19 on U.S. Computer Science Faculty's Turnover Intentions: The Role of Gender.

The COVID-19 pandemic has been challenging for college faculty, with evidence that it has the potential to exacerbate pre-pandemic gender inequities in work demands (Tugend, 2020). The impact of the pandemic may be particularly difficult for women in male-dominated STEM fields such as computer science that pose additional challenges and had high attrition rates among women faculty pre-pandemic (NSF, 2019; Weisgram & Diekman, 2017). The present study examined the mechanisms through which gender may have implications for changes in turnover intentions due to the pandemic among computer science faculty, with a focus on changes in work-family conflict and workplace attitudes.

Somatoform's placement and validity in the hierarchical taxonomy of psychopathology (HiTOP).

Limitations of a polythetic-categorical classification system has sparked ongoing quantitative efforts to establish a valid and reliable method for diagnosing mental illness. Dimensional methods of classification, such as the Hierarchical Taxonomy of Psychopathology (HiTOP), have been found to ameliorate the limitations of a categorical approach - despite the provisional placement of a Somatoform spectrum. The current investigation sought to elucidate the placement of the Somatoform spectrum within the HiTOP model, and to further corroborate discriminant and convergent validity of the Somatoform spectrum.