A potential new clinical disorder is arising due to the addiction to cellphones called nomophobia-or feelings of discomfort or anxiety experienced by individuals when they are unable to use their mobile phones or utilize the conveniences these devices provide. However, before being able to officially classify this disorder as clinically relevant, more research needs to be conducted to determine how nomophobia relates to existing disorders. In a sample of 397 undergraduate students, the present study examined the relationship between the Nomophobia Questionnaire (NMP-Q) and the Obsessiveness Content Scale (OBS) of the Minnesota Multiphasic Personality Inventory-2 (the MMPI-2). Confirmatory factor analysis (CFA) was used to test whether the OBS Content Scale would be related to a one-factor NMP-Q solution (Fig. 1) or a four-factor NMP-Q solution (Fig. 2). Convergent and divergent validity were also investigated. The four-factor model was a better fit than the one-factor model as indicated by most fit indices. The findings showed that the OBS latent variable was correlated with all of the four NMP-Q latent variables. Mixed support was found for convergent validity, but high support was found for the divergent validity of the NMP-Q factors. This study contributes to a growing body of literature seeking to better understand the addictive nature of cellphones and takes a new perspective on addiction research and obsessiveness. These findings provide a better understanding between pre-existing assessments of personality disorders (e.g., obsessiveness) that are emerging from the overuse of mobile phones or the excessive fear of losing one's cell phone.

Young adults endorse more individualistic and internal adulthood milestones compared to prior generations. Arnett (1994) introduced the Markers of Adulthood (MoA) scale to capture this shift in the transition to adulthood using 38 markers associated with becoming an adult, including marriage, having children, and living independently. These items were based on psychological, anthropological, and sociological determinations concerning adulthood, and were arranged into subscales based on their theoretical association rather than statistical analysis. Since the scale was introduced, researchers have addressed crucial questions about the validity of the MoA scale’s milestones. A recurring theme was identifying items that could be sorted into reliable subscales. We examined a collection of original items and included new ones, such as “have a professional social media account” and “recognize personal capabilities and shortcomings” to configure a revised MoA model. A total of 861 participants in seven national locations responded to a demographic survey, the Inventory of the Dimensions of Emerging Adulthood (IDEA; Reifman, et al., 2007), and a collection of MoA items. We conducted a principal component analysis to identify 22 items and four factors (role transitions, independence, legality markers, and relative maturity) which represented 55% of the total variance in the dataset. All factors except legality markers were identified by prior researchers. While four factors demonstrated the best fit for subscale configurations, the revised MoA was considered most reliable when used in its entirety. Our examination ends with a discussion of future directions for configuring items which may produce reliable subscales.

We created a new, 8-item scale called “Career Student Planning Scale (CSPS)” for a valid and reliable measure regarding college students’ career planning during a traumatic event, such as a pandemic. CSPS is conceptually similar to the career decision-making difficulty questionnaire (CDDQ) and the career decision self-efficacy (CDSE) scale. CSPS leans towards questions about college students’ perceptions about career planning, rather than intuitions about career decision-making; it also inquires about how participants conceptualize about their career plans to be correct, rather than the more extreme idea about how their intuitions are correct: we developed this scale to capture the latter construct. We included the coronavirus anxiety scale (CAS), CDDQ, the general procrastination scale (GPS), and the CDSE short form (CDSE-SF) as covariates to ensure that CSPS has distinct effects on their career paths. Our findings indicate the CSPS has acceptable psychometric properties and demonstrates a valuable input to those measures.