The Complexity of Quest in Emerging Adults' Religiosity, Well-Being, and Identity

A growing body of literature indicates a modestly positive association between religiosity and spirituality as predictors of psychological health (anxiety and depression), suggesting they serve as personal resiliency factors. The purpose of this study was to expand our understanding of the relationships among these constructs. Using Lazarus's Transactional Model of Stress as a theoretical framework, we examined: (a) the extent to which spirituality and religiosity mediated and/or moderated the association between perceived stress and psychological health and (b) whether there was a moderated (religiosity) mediation (spirituality) between stress and health. The Perceived Stress Scale, Daily Spiritual Experiences Scale, Religious Commitment Inventory, and Hospital Anxiety and Depression Scale were administered to measure the following constructs: stress, spirituality, religiosity, and psychological health. This study utilized a nonexperimental, quantitative, correlational, cross-sectional, moderated-mediation design, and included a convenience sample of 331 research participants. Both spirituality and religiosity moderated stress and health. However, only spirituality partially mediated the relationship. In addition, religiosity did not moderate the mediating effects of spirituality. Overall, this study confirmed the role of both religiosity and spirituality as effective resiliency resources.

Response Bias Using Two-Stage Data Collection: A study of elderly participants in a program.

Researchers examining the effects of programs, in this case a state-level pharmaceutical assistance program for the elderly, sometimes must rely on multiple methods of data collection. Two-stage data collection (e.g., a telephone interview followed by a mail questionnaire) was used to obtain a full range of information. Older age groups were found to participate less frequently in the telephone interview, while certain demographic factors characterized mail questionnaire nonparticipants, all of which supports past research. Results also show that those in the poorest health are less likely to participate in the mail survey. Combining the two methods did not result in high attrition, suggesting that innovation can be successfully employed. Knowledge of the bias associated with each method will aid in targeting special groups.