Predicting Transformational Leadership in Naval Cadets: Effects of Personality Hardiness and Training

The present study investigated whether personality hardiness predicts peer ratings of leadership style in Navy officer cadets. Cadets ( n  = 71) completed the Dispositional Resiliency (hardiness) Scale, and later rated their peers using the Multifactor Leadership Questionnaire (full range of leadership model). Results show the hardy–commitment facet predicted peer ratings of all leadership styles covered in the model, both before and after and intensive military exercise. The challenge facet was a positive predictor of transformational and transactional leadership and was negatively related to passive-avoidant leadership. Transformational leadership predicted leader performance, as indexed by military development grades; and a partial mediation effect was found for hardiness on the relation between transformational leadership and leader performance.     

An exploratory study of differences in emotional intelligence in U.S. and Norwegian undergraduate students

The present study explored sex and cultural differences in Emotional Intelligence scores in samples from Norway (n = 297) and the United States (n = 234). Significant main effects for sex were found in overall Emotional Intelligence scores and the Empathy factor. In addition, results revealed a small but significant effect for culture in the Self-control factor, as well as support for an interaction between sex and culture in the Handling Relationships factor. The results are discussed in light of cultural differences between U.S. and Norwegian societies.     

The combined influence of hardiness and cohesion on mental health in a military peacekeeping mission: A prospective study

A large number of studies have shown that hardiness and cohesion are associated with mental health in a military context. However, most of them are presented without controlling for baseline mental health symptoms, which is their most significant source of error. The present study investigates the combined effect of hardiness and cohesion in a prospective design, controlling for baseline levels of symptoms among Norwegian personnel serving in a peacekeeping operation in Kosovo. Multivariate regression analyses were performed in which self‐reported mental health complaints were regressed on our explanatory variables. Our findings suggest that both cohesion and hardiness contributed to increased stress resiliency, as measured by a lower level of reported mental health complaints. Our baseline measure of mental health accounted for a larger proportion of the variance than our other predictors. A significant interaction between cohesion and hardiness suggested a combined effect, over and above the individual contributions of the predictors. For individuals who scored high on hardiness, cohesion levels did not influence levels of mental health complaints. Individuals who scored low on hardiness, on the other hand, reported lower levels of mental health complaints when cohesion levels were high.     

Pre-liver transplant psychosocial evaluation predicts post-transplantation outcomes

Psychosocial factors greatly impact the course of patients throughout the liver transplantation process. A retrospective chart review was performed of patients who underwent liver transplantation at Hadassah-Hebrew University Medical Center between 2002 and 2012. A composite psychosocial score was computed based on the patient’s pre-transplant evaluation. Patients were divided into two groups based on compliance, support and insight: Optimal psychosocial score and Non-optimal psychosocial score. Post-liver transplantation survival and complication rates were evaluated. Out of 100 patients who underwent liver transplantation at the Hadassah-Hebrew University Medical Center between 2002 and 2012, 93% had a complete pre-liver transplant psychosocial evaluation in the medical record performed by professional psychologists and social workers. Post-liver transplantation survival was significantly higher in the Optimal group (85%) as compared to the Non-optimal group (56%, p = .002). Post-liver transplantation rate of renal failure was significantly lower in the Optimal group. No significant differences were observed between the groups in other post-transplant complications. A patient’s psychosocial status may impact outcomes following transplantation as inferior psychosocial grades were associated with lower overall survival and increased rates of complications. Pre-liver transplant psychosocial evaluations are an important tool to help predict survival following transplantation.     

Norms for experiencing emotions in different cultures: inter- and intranational differences.

Within- and between-nations differences in norms for experiencing emotions were analyzed in a cross-cultural study with 1,846 respondents from 2 individualistic (United States, Australia) and 2 collectivistic (China, Taiwan) countries. A multigroup latent class analysis revealed that there were both universal and culture-specific types of norms for experiencing emotions. Moreover, strong intranational variability in norms for affect could be detected, particularly for collectivistic nations. Unexpectedly, individualistic nations were most uniform in norms, particularly with regard to pleasant affect. Individualistic and collectivistic nations differed most strongly in norms for self-reflective emotions (e.g., pride and guilt). Norms for emotions were related to emotional experiences within nations. Furthermore, there were strong national differences in reported emotional experiences, even when norms were held constant.     

Compliance to a cell phone-based ecological momentary assessment study: The effect of time and personality characteristics

Ecological momentary assessment (EMA) is a method that is now widely used to study behavior and mood in the settings in which they naturally occur. It maximizes ecological validity and avoids the limitations of retrospective self-reports. Compliance patterns across time have not been studied. Consistent compliance patterns could lead to data not missing at random and bias the results of subsequent analyses. In order to use modern statistical approaches for handling missing data, it is important to include variables predicting missing values into the statistical analysis. Therefore, these predictors have to be known and measured. The authors collected data on 3 four-item mood scales measuring well-being, wakefulness, and nervousness on 6 occasions per day for 7 days (N = 305) and examined compliance rate across time, within day, and within week. Results show good global compliance (mean compliance: 74.9% of calls answered). Compliance varied more within day than within week. Within day, it was lower for the first call of the day between 9 p.m. and 11 p.m. and higher for the call between 5 p.m. and 7 p.m. Within week, calls were equally answered across days of the week, but, as the study progressed, there was a slight drop in compliance with a progressive decrease that was stronger for the first 2 calls. Compliance on the person level did not depend on personality or on satisfaction with life. Practical consequences of the results for conducting ambulatory assessment studies are discussed, and some recommendations are given. (PsycINFO Database Record (c) 2012 APA, all rights reserved).     

Dichotic listening and sleep deprivation: vigilance effects

Twelve sleep-deprived and 13 non-deprived Navy cadets were tested with the dichotic listening procedure for effects of sleep deprivation on hemispheric asymmetry and sustained attention. Consonant-vowel syllables were presented to the subjects in three different conditions, a divided (non-forced) attention condition, a forced right ear and a forced left ear attention condition. In the two forced attention conditions the subjects were instructed to focus attention only on the right or left ear stimulus. The results showed an expected right ear advantage for both groups during the non-forced and forced right attention conditions, indicating superior left hemisphere processing. During the forced left attention condition, the sleep-deprived subjects showed no ear advantage at all, while the non-deprived subjects showed an expected left ear advantage. The results are discussed within a theoretical framework of a dual process model, where sleep deprivation disrupts the ability to sustain attention, caused by a temporary failure of the right hemisphere's top-down (instruction-driven) processing to override the left hemisphere's bottom-up (stimulus-driven) processing.     

Trauma narratives and emotional processing

The present study examined the relations between indicators of emotional processing (e.g. trauma narratives), posttraumatic stress symptoms, and psychological distress in two military samples (N = 120) exposed to significant training accidents. Trauma narratives were collected at 2-3 weeks, while outcome measures (e.g. IES-15, PTSS-10, and GHQ-30) were collected at 2-3 weeks, and 4 months after the accidents. Emotional processing was indexed by the content of positive and negative emotional expressions in the trauma narratives. The results showed that positive emotional expressions were associated with lower levels of psychological distress, whereas negative emotional expressions were linked to trauma specific symptoms and psychological distress at 2-3 weeks. Negative emotional expressions explained between 6-8% of the variance in trauma specific symptoms at 2-3 weeks, and 11% of the variance in psychological distress symptoms at 4 months after the traumatic event.     

Separating trait effects from trait-specific method effects in multitrait-multimethod models: a multiple-indicator CT-C(M-1) model

An overview of several models of confirmatory factor analysis for analyzing multitrait-multimethod (MTMM) data and a discussion of their advantages and limitations are provided. A new class of multi-indicator MTMM models combines several strengths and avoids a number of serious shortcomings inherent in previously developed MTMM models. The new models enable researchers to specify and to test trait-specific-method effects. The trait and method concepts composing these models are explained in detail and are contrasted with those of previously developed MTMM models for multiple indicators. The definitions of the models are explained step by step, and a practical empirical application of the models to the measurement of 3 traits x 3 methods is used to demonstrate their advantages and limitations.