7 research outputs found
The Role of Social Support in Predicting Depression and Task Overload Among College Students
Guided by the Relationships Motivation Theory, this short-term longitudinal study examined associations between social support (i.e., relatedness), depression, and stress in the form of task overload among emerging adult, university students (N = 184 at time one; N = 105 at time two; 69.2% female). Results from a series of path models indicated a significant relationship between decreased perceptions of social support over time and an increase in perceived task overload with significant mediating effects through depressive symptomology. Implications for counseling services as well as intervention and awareness points for university professionals are discussed
FOMO, Relatedness, and Well-Being in Emerging Adults
From the viewpoint of Self-Determination Theory, this study evaluated theoretically competing models examining the relationships among one’s fear of missing out (FOMO) and multiple indicators of relatedness (satisfaction and frustration) with well-being (life satisfaction) and ill-being (depression) among a sample of emerging adults. The first model conceptualized that higher levels of FOMO would be related to higher levels of depressive symptomology and lower levels of life satisfaction, and that relationship would be mediated by relatedness satisfaction and frustration. Alternatively, the second model conceptualized that relatedness satisfaction would serve as a moderator of the relationship between FOMO and depressive symptomology and life satisfaction. Model 1 results indicated that an individual’s FOMO was associated with lower relatedness satisfaction and higher relatedness frustration, and, in turn, both forms of relatedness were significantly associated with perceptions of life satisfaction and depression. Model 2 results also indicated that one’s relatedness satisfaction or frustration did not serve as a moderator between the relationship of FOMO and well-being or ill-being. Discussion of the importance of relationship attachments, as well as clinical implications, will be included
Using Available Archival and Secondary Data to Drive Cutting Edge Research
This presentation will present primary data collection techniques using archival data to identify participants and how to leverage existing datasets to conduct secondary data analyses. It can often be difficult for new professionals and students to access data or may be unaware of the pros and cons of using either research technique. Data from three different studies will be presented including Long Term Care in Arkansas, Co-Parenting Across Households, and Identifying At-Risk Early Career Servicemembers. Results discussed will provide detailed comparisons of collected samples to target populations. The presentation will aim to assist students and new professionals in better understanding data driven research and provide tools for future use of both secondary and primary data
Where is the Resilience in Army STARRS? Evaluating Psychometrics of a Multi-Dimensional Resilience Construct
Using two independent samples of Army soldiers-in-training, this study explores the measurement of resilience in the Army Study to Assess Risk and Resilience among Servicemembers (Army STARRS) New Soldier Study Component (NSS). Exploratory factor analysis was used to identify a three-factor structure of resilience within the Army STARRS. Confirmatory factor analysis was then used to confirm the three-factor structure, and then internal reliability was assessed. Determination of how resilience can be measured within the Army STARRS NSS will aid scholars who wish to examine resilience among Army soldiers-in-training