A person-centric investigation of personality types, job performance, and attrition

Optimism, Sociability, and the Risk of Future Suicide Attempt among U.S. Army Soldiers

INTRODUCTION

Most research on suicide attempts among U.S. service members has been focused on risk factors that occur during service. There is an important gap in our understanding of premilitary factors, such as personality characteristics, that may be associated with future suicide attempt risk during service. Of particular importance is identifying risk factors for the 1/3 of suicide attempters who never receive a mental health diagnosis (MH-Dx)-and therefore are not identified as having a mental health problem in the military healthcare system-prior to their suicide attempt.

MATERIALS AND METHODS

Using two components of the Army Study to Assess Risk and Resilience in Servicemembers, we examined the association of personality facets from the Tailored Adaptive Personality Assessment System, a computerized instrument administered prior to entering service, with medically documented suicide attempts during service. A 2010-2016 sample of historical administrative records from U.S. Regular Army enlisted soldiers with complete data on 11 commonly administered Tailored Adaptive Personality Assessment System facets was examined using a series of logistic regression analyses to identify the facets associated with future suicide attempt. Significant facets were then applied to data from a longitudinal cohort study of 11,288 soldiers surveyed upon entering basic combat training and followed via administrative records for their first 48 months of service. This research was approved by the Institutional Review Boards at the collaborating institutions.

RESULTS

Analysis of the historical administrative data (87.0% male, 61.6% White non-Hispanic), found that low Optimism (odds ratio (OR) = 1.2 [95% CI = 1.0-1.4]) and high/low (vs. moderate) Sociability (OR = 1.3 [95%CI = 1.1-1.6]) were associated with suicide attempt after adjusting for other univariable-significant facets and socio-demographic and service-related variables. When examined in the longitudinal survey cohort, low Optimism (OR = 1.7 [95% CI = 1.1-2.4]) and high/low (vs. moderate) Sociability (OR = 1.7 [95% CI = 1.1-2.5]) were still associated with increased odds of documented suicide attempt during service, even after adjusting for each other, socio-demographic and service-related variables, and medically documented MH-Dx. Mental health diagnosis had a significant two-way interaction with Optimism (F = 5.27, p = 0.0236) but not Sociability. Stratified analyses indicated that low Optimism was associated with suicide attempt among soldiers without, but not among those with, a MH-Dx. Interactions of Optimism and Sociability with gender were nonsignificant. In the full model, population attributable risk proportions for Optimism and Sociability were 15.0% and 18.9%, respectively. Optimism and Sociability were differentially associated with suicide attempt risk across time in service.

CONCLUSIONS

Optimism and Sociability, assessed prior to entering U.S. Army service, are consistently associated with future suicide attempt during service, even after adjusting for other important risk factors. While Sociability is equally associated with suicide attempt among those with and without a MH-Dx, Optimism is specifically associated with suicide attempt among soldiers not identified in the mental healthcare system. Risk differences across time in service suggest that Optimism and Sociability interact with stressors and contextual factors in particular developmental and Army career phases.

Large-scale assessment of German dairy farmers´ personality and resulting ideas for improving veterinary consultancy

The here presented investigation was part of a cross-sectional study on dairy cattle health aiming to identify risk factors for animal health and welfare. Within this setting, we chose a social-science related approach to explore German dairy farmers' personality composition in a variable-centered and person-centered approach. We have assessed German dairy farmers' personalities based on the HEXACO model of personality in three representative regional samples. In total, 765 farm visits were conducted within two and half years (north n = 253; east n = 252; south n = 260). The proportions of returned questionnaires eligible for analysis (i.e., answered completely) were 71.54% (n = 181), 68.25% (n = 172) and 86.92% (n = 226) for the northern, eastern and southern samples, respectively. Variable-centered personality analyses revealed the farmers' structure of personality to be similar within all samples. Overall, we found the farmers to be averagely emotional and agreeable, whereas the results indicate tendencies for a pronounced display of extraversion, conscientiousness and openness to experience. Compared to the German general population, dairy farmers appear to be more extraverted and open to experience. We could not deduce a subcategorization of farmers in different latent personality profiles in person-centered analysis. Our findings provide a basis for further evaluation of the farmers´ personality as an influencing factor for farm outcomes (e.g., productivity, animal health and welfare). Furthermore, we provide a glance and encourage interdisciplinary research to link personality information with communication theory aiming to enhance effectiveness of veterinary consultancy.

Moving towards a taxonomy of cognitive impairments in epilepsy: application of latent profile analysis to 1178 patients with temporal lobe epilepsy

In efforts to understand the cognitive heterogeneity within and across epilepsy syndromes, cognitive phenotyping has been proposed as a new taxonomy aimed at developing a harmonized approach to cognitive classification in epilepsy. Data- and clinically driven approaches have been previously used with variability in the phenotypes derived across studies. In our study, we utilize latent profile analysis to test several models of phenotypes in a large multicentre sample of patients with temporal lobe epilepsy and evaluate their demographic and clinical profiles. For the first time, we examine the added value of replacing missing data and examine factors that may be contributing to missingness. A sample of 1178 participants met the inclusion criteria for the study, which included a diagnosis of temporal lobe epilepsy and the availability of comprehensive neuropsychological data. Models with two to five classes were examined using latent profile analysis and the optimal model was selected based on fit indices, posterior probabilities and proportion of sample sizes. The models were also examined with imputed data to investigate the impact of missing data on model selection. Based on the fit indices, posterior probability and distinctiveness of the latent classes, a three-class solution was the optimal solution. This three-class solution comprised a group of patients with multidomain impairments, a group with impairments predominantly in language and a group with no impairments. Overall, the multidomain group demonstrated a worse clinical profile and comprised a greater proportion of patients with mesial temporal sclerosis, a longer disease duration and a higher number of anti-seizure medications. The four-class and five-class solutions demonstrated the lowest probabilities of a group membership. Analyses with imputed data demonstrated that the four-class solution was the optimal solution; however, there was a weak agreement between the missing and imputed data sets for the four-Class solutions (κ = 0.288, P < 0.001). This study represents the first to use latent profile analysis to test and compare multiple models of cognitive phenotypes in temporal lobe epilepsy and to determine the impact of missing data on model fit. We found that the three-phenotype model was the most meaningful based on several fit indices and produced phenotypes with unique demographic and clinical profiles. Our findings demonstrate that latent profile analysis is a rigorous method to identify phenotypes in large, heterogeneous epilepsy samples. Furthermore, this study highlights the importance of examining the impact of missing data in phenotyping methods. Our latent profile analysis-derived phenotypes can inform future studies aimed at identifying cognitive phenotypes in other neurological disorders.

Cause of Attrition in an Information Technology Enabled Services Company

The purpose of this study is to identify the human resource and the contextual factors that catalyze employee attrition in an ITES organization. A triangulation approach used to understand the reasons for employee attrition including: conducting structured interviews with the employees upon the intimation of their intention to leave the organization as well as a follow up semi-structured interview six months post their official resignation. The study was analyzed using the word cloud qualitative data analysis technique, radar chart, correlation, paired sample t-test, chi-square, and ANOVA. This exploration affirms that human resource factors impact attrition while contextual factor generation influences the human resource factors. The study also indicates that employees feel comfortable to reveal their actual reason for leaving the organization only after a certain period post resignation. Managers should prioritize maintaining relationships with employees; ensure to provide employees with enriching job content and learning opportunities for career growth.

Personality testing: enhancing in-service selection of mid-career soldiers

Noncognitive attributes - notably personality - consistently predict important job-related outcomes for the Army (e.g., attrition, performance, disciplinary incidents) during Soldiers' first term of enlistment. Recently, the U.S. Army Research Institute for the Behavioral and Social Sciences (ARI) has conducted research suggesting that personality measures can be used to improve person-job match and enhance performance beyond first term of enlistment. This paper summarizes recent research on the relationship between personality assessments and in-service job performance. This research is important because the duties of many Army in-service job assignments (e.g., Recruiter, Drill Sergeant, non-commissioned officer [NCO] Instructor, Special Operations) differ substantially from the type of work performed by the NCOs prior to such assignments, which renders moot the truism "the best predictor of future performance is past performance." The paper also offers a conceptual framework for future research, which can add value to multiple types of in-service assignment decisions.

Evaluation of a coaching workshop for the management of veterinary nursing students' OSCE-associated test anxiety

Background

High stress levels amongst undergraduates (particularly in relation to assessment) and efforts to improve mental wellbeing have been increasingly reported in the veterinary educational literature. However reports to date have primarily focused on the experiences of students of veterinary medicine, rather than veterinary nursing students.

Methods

The purpose of this mixed method sequential explanatory study was to establish the "Big-five" personality traits and quantify the level of test anxiety associated with objective structured clinical examinations (OSCEs) amongst a cohort of 23 final year veterinary nursing students at an Irish third level college. The 12 item Brief FRIEDBEN Test Anxiety Scale (B-FTAS) and the 20 item mini International Personality Item Pool (mini-IPIP) were used to identify test anxiety levels and personality traits in this cohort. Focus groups were then employed to examine the effectiveness of a coaching intervention in ameliorating this test anxiety.

Results

The initial, quantitative, phase found these students to have higher levels of test anxiety than previously reported for undergraduates sitting written examinations. No association was found between test anxiety and neurotic personality traits in this student cohort. In the qualitative follow up phase the coaching intervention was reported to have been helpful in equipping the students to better manage test anxiety. The OSCE stressors identified in this study closely resembled those previously reported by nursing and midwifery students.

Conclusions

The shared experience of the coaching intervention and formative OSCE was reported to have been helpful in empowering the students to manage assessment-associated anxiety. Implications and recommendations for educators were identified.