ABSTRACT
Military service can include numerous adverse events. As such, resiliency has been considered as a means of potentially helping active-duty personnel face adversity and be better prepared for the demands of military service. However, research in military contexts has been hindered by use of disparate conceptualizations, definitions, and measures of resiliency. To provide some resolution to these inconsistencies, we use a comprehensive, theoretically based model of resiliency to explore how self-regulation processes contributed to Soldiers' negative affect and self-perceived effectiveness. We hypothesized that self-regulation (comprising distinct affective, behavioral, and cognitive processes) increments prediction of Soldiers' outcomes over and above trait-based resiliency protective factors. Using a sample of active-duty military personnel, cognitive self-regulation and affective self-regulation incremented the prediction of negative affect and self-perceived Soldier effectiveness, respectively, over and above trait-based protective factors. These results support the use of a comprehensive model and measure of resiliency, which may enable greater consistency across future research endeavors. As these results validated the links between self-regulation and post-adversity outcomes, this study provides a basis for developing new resiliency training programs. Additional implications for theory and continued research on resiliency in military contexts are discussed.
ABSTRACT
Purpose To examine the extent to which medical school interviewers consider perceptions of applicant personality traits during a semi-structured panel interview, the interrater reliability of assessments, and the impact of such perceptions on individual admission decisions. Method Semi-structured panel interviews were conducted with applicants to the Doctor of Medicine Program at the University of Western Ontario in London, Canada. Interviewers also provided voluntary, "research only" ratings of applicants on nine relevant personality traits. Data from 345 applicants under consideration for admission were available for analysis. Results Significant correlations were observed between personality ratings and important operational variables (e.g., interview scores). Applicants who were most likely to be admitted to the program were perceived as high on certain traits (i.e., Achievement, Nurturance, Endurance, Cognitive Structure, & Order) and low on other traits (i.e., Abasement, Aggression, & Impulsivity). Statistically removing variance shared with personality ratings from interview scores resulted in different admission decisions for over 40% of the applicants. Interrater reliabilities for personality perceptions were relatively low. However, interrater reliability of the panel interview used to make admission decisions was acceptable. Nonlinear relations between personality perceptions and interview scores were also explored. Conclusion Some evidence was found that interviewers? perceptions of applicant personality may affect their judgments when assigning interview ratings. Given that non-cognitive characteristics are perceived as important in the admissions process and that perceptions of personality traits have implications for decisions about which candidates to admit, suggestions for identifying desirable non-cognitive characteristics and for increasing the quality of assessments are offered.