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A single conceptualization of mental health based on empirical research has yet to be adopted by researchers and practitioners. This paper aims to explore how diverse Americans define mental health. The aim of the study was to build a conceptualization of the term “mental health”, using qualitative and quantitative methods, on the basis of definitions provided by an ethnically diverse sample of lay-people and professionals.

Concept mapping methods, including multidimensional scaling and hierarchical cluster analysis, were applied to 146 statements generated by 125 participants of diverse American racial and ethnic groups. The resulting concept map was inspected visually, quantitatively and qualitatively.

Out of the 146 statements, 8 overarching themes emerged from multidimensional scaling and hierarchical cluster analysis. Themes include Well-being, balance, coping, adaptability, relational, self, lack of mental illness and physical. T-tests revealed statistically significant differences on ratings of importance for statements within the theme “Lack of Mental Illness” from those included in “Well-Being”, “Balance” and “Coping.” Statements included in the theme “Lack of Mental Illness” were rated least essential to the construct of mental health. The “Self” cluster appeared at the center of the data visualization, suggesting that Americans believe that self is essential to the construct in question.

This mixed-method study is consistent with prior evidence that mental health and mental illness might best be considered separate constructs (Westerhof and Keyes, 2010). A logical follow-up might examine why the concept of “Self” emerges centrally as it would help mental health practitioners and policymakers to focus their understanding of mental health to improve mental health interventions.

Understanding that the concept of “Self” is central to Americans’ conceptualizing of mental health may help mental health practitioners and policymakers to focus their efforts in delivering targeted mental health interventions.

The process performed during a financial statement audit is critical but is unobservable to external stakeholders. This can create challenges in assessing the quality of individual audit engagements. This study’s objective is to introduce and investigate an archival measure based on publicly available information that proxies for audit process ineffectiveness.

We proxy for audit process ineffectiveness using errors in the audit report. We examine audit reports to identify errors because the audit report represents the auditor’s primary communication with financial statement users and is subject to rigorous preparation and review. We first examine if typical factors influencing audit process ineffectiveness are associated with audit report errors. We then examine whether audit reports containing errors are associated with audit quality measures.

We find that errors are more likely to be present in audit reports when time pressure exists and less likely when auditors exert more effort and when audit engagement risk is higher. Results also show that errors in audit reports are positively associated with financial reporting misstatements, measured by subsequently disclosed Big R restatements and out-of-period adjustments.

Collectively, our evidence suggests that an audit report containing an error is a suitable proxy for audit process ineffectiveness. This proxy has audit quality implications because inattentiveness in one area of the audit process could indicate inattentiveness in another area.

This chapter investigates the relationship between the composition of initial spinout teams and spinout survival. We develop a theory suggesting that spinout founders hiring from their prior firm versus hiring from the external labor market to assemble spinout teams will have differential effects on spinout survival. Using confidential employee–employer linked data in the legal services industry provided by the United States Census Bureau, we find evidence that inclusion of spinout team members from the founder's prior firm is positively related to spinout survival, a relationship which increases with included members' prior earnings. In contrast, we find that inclusion of spinout team members from firms outside the founder's prior firm is positively associated with spinout failure, a relationship which becomes statistically insignificant when included team members' prior earnings are high. Taken together, our results point to the potential hazards associated with using external markets to assemble spinout teams, thereby establishing an important boundary condition for extant theory which has focused on the benefits associated with spinout team size, but has often neglected the labor market strategy through which such teams are assembled.

The purpose of this research was to examine the role of intersectionality (multiple marginalized identities) in narratives used within online media coverage of women's sports. The authors adopted an intersectionality lens and drew from sports media literature to explore the representation of Black athletes in women's sport.

The authors conducted a quantitative content analysis of online articles from ESPN, CBS Sports and Sports Illustrated from the 2020 WNBA Season. The authors coded the number of times an athlete was mentioned in an article, the athlete's race, publicly disclosed sexual orientation and gender expression. The authors used hierarchical regression to examine the relationship between an athlete's social identities and frequency of media mentions.

Within mainstream online sport media, Black WNBA athletes receive less media attention than white WNBA athletes. Black athletes who do not present in traditionally feminine ways receive the least amount of media attention, while white athletes have the freedom to express their gender in a variety of ways and still capture media interest. Within league press releases, however, there is no difference in media mentions based on race, sexual orientation or gender expression.

The findings in this research are important for sport media professionals who write stories and player-activists who are pursuing racial justice. Outlets should commit to antiracist storytelling practices. Players, player agents and players' associations—all of whom have shown their power to create change for a more equitable industry and society—should also advocate for and organize around practices that create more equitable media coverage.

This study is one of the few empirical investigations of women's professional sport that examines the influence of intersecting social identities.

To understand how narratives used by entrepreneurial support organizations (ESOs) in Detroit's growing entrepreneurial ecosystem shape transitional entrepreneurs' social reality. We offer theoretical and practical insights to elicit critical support, formulate policies and programs and guide ongoing empirical examination of transitional entrepreneurship.

We adopt a multi-case study approach, looking at two ESOs in Detroit: one focused on promoting high-growth entrepreneurship and securing financial capital for technology entrepreneurs, the other focused on promoting everyday entrepreneurship (especially among underserved communities) and amassing a more diverse array of resources. We conduct a thematic analysis of organizational texts and interview data with ESO leaders.

ESO narratives shape Detroit's transitional entrepreneurs by constructing entrepreneurs' social identity, orienting them to the ecosystem and envisioning a collective future in which transitional entrepreneurs are key.

This study offers insight into the definition of transitional entrepreneurs by extending existing conceptions by highlighting the role of institutional actors, like ESOs, and the narratives they adopt in shaping opportunities and challenges for transitional entrepreneurs. Moreover, we push the boundaries of transitional entrepreneurship, including technology start-up entrepreneurs in the definition and call attention to the role of transitional entrepreneurs in post-industrial cities by showcasing their role in community and urban development.

According to current estimates, the prevalence of autism spectrum disorders (ASDs) ranges from 1 in 500 children to 1 in 150 children (Centers for Disease Control and Prevention/CDC, 2007; Desmon, 2007). In the past such disorders usually were not identified until a child was school-aged, but these disorders are now more likely to be diagnosed in affected individuals during the preschool years (McConachie, Le Couteur, & Honey, 2005; Rutter, 2006). For example, Mandell, Novak, and Zubritsky (2005) surveyed over 900 caregivers of children with ASDs and learned that on an average, children with autistic disorder were diagnosed at 3.1 years of age. These researchers also reported that children who exhibited such characteristics as severe language impairment, toe walking, hand flapping, and sustained unusual play behaviors were diagnosed earlier than children without these features.