No abstract

Purpose – The purpose of this paper is to investigate the relationships among incivility, stress, workaholism, and psychological capital (PsyCap). Design/methodology/approach – Data on incivility, stress, workaholism, and PsyCap were collected, through administration of an online survey, from 168 employees. Findings – Workaholism and stress were positively related to uncivil behaviors, while PsyCap was negatively linked to incivility. Additionally, workaholism was positively associated with stress and negatively related to PsyCap. Finally, PsyCap acted as a mediator between workaholism and uncivil behaviors. Research limitations/implications – Future researchers should obtain a larger number of minority participants, assess the instigators of incivility, and implement a longitudinal model. Practical implications – Managers should focus on reducing stress and uncivil behaviors, and implement interventions to reduce workaholism and stress and increase PsyCap. Originality/value – It is the first study to examine measurable traits that are likely to lead to negative behaviors, and includes an emotional tool, PsyCap, that can be developed to limit the negative influence of incivility on the organization.

Objective There is a need for brief, psychometrically sound instruments to assess adolescent sleep, particularly for ethnic-minority and economically disadvantage adolescents. A 10-item short version of the Adolescent Sleep Wake Scale was recently proposed based upon exploratory factor analysis with primarily Caucasian healthy adolescents from middle to high-income families. The aim of the current study was to expand the utility of the short version of the Adolescent Sleep Wake Scale by investigating the empirical and construct validity of the measure on an ethnically diverse sample of adolescents from an economically disadvantaged community. Material and Methods Participants included 467 adolescents (40% African American, 35.5% Caucasian, 16.5% Latino, and 7.9% Multi-Ethnic), aged 12 to 18 years (mean = 15.27 years, SD = 1.96 years), who completed the Adolescent Sleep Wake Scale. A confirmatory factor analysis (CFA) was conducted with Mplus 7 based on the 3-factor solution proposed by Essner et al (2014). Results CFA indicated that the three-factor structure was a good fit for the data (χ2 (29)=52.053, p=.005, RMSEA=0.04, CFI=0.98, TLI=.96, SRMR=0.03), and factor loadings for each item were >.40. Cronbach alphas by ethnicity indicated that the scale has acceptable reliability (.70 ≤ α ≤ .90) for African American, Caucasian, and multi-ethnic adolescents, but not for Latino adolescents. Conclusion Our results support the use of the Adolescent Sleep Wake Scale short form for most ethnic-minority and economically disadvantaged adolescents.

No abstract