How context shapes collective turnover over time: The relative impact of internal versus external factors.

Despite the prevalence of research on the consequences of collective turnover (TO), we lack an understanding of how, when, and why changes in the external environment influence collective turnover. The present study extends context emergent turnover and threat-rigidity theories to consider temporal changes in rates of collective turnover brought on by an external disruption. We also conduct variance decomposition to evaluate the relative influence of internal and external factors on collective turnover and examine how changes in the external environment impact relative influences. Finally, we examine the role of collective engagement in explaining patterns of collective turnover over time. Our study is based on a large, geographically dispersed U.S. firm. Findings from a two-phase longitudinal model reveal that rates of collective turnover change over time in ways that are predictable from threat-rigidity theory. Variance decomposition analysis finds that internal store-level factors explain substantially more variance than external factors, but the balance changes in response to an external disruption. We also show that collective engagement can mitigate increases in collective turnover. Results inform theory regarding the relative importance of internal versus external factors in influencing collective turnover and provide a framework for predicting how contextual change in the external environment impacts collective turnover over time. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The plausibility of alternative data-generating mechanisms: Comment on and attempt at replication of Dishop (2022).

Dishop (see record 2022-78260-001) identifies the consensus emergence model (CEM) as a useful tool for future research on emergence but argues that autoregressive models with positive autoregressive effects are an important alternative data-generating mechanism that researchers need to rule out. Here, we acknowledge that alternative data-generating mechanisms are possibility for most, if not all, nonexperimental designs and appreciate Dishop's attempts to identify cases where the CEM could provide misleading results. However, in a series of independent simulations, we were unable to replicate two of three key analyses, and the results for the third analysis did not support the earlier conclusions. The discrepancies appear to originate from Dishop's simulation code and what appear to be inconsistent model specifications that neither simulate the models described in the article nor include notable positive autoregressive effects. We contribute to the wider literature by suggesting four key criteria that researchers can apply to evaluate the possibility of alternative data-generating mechanisms: Theory, parameter recovery, fit to real data, and context. Applied to autoregressive effects and emergence data, these criteria reveal that (a) theory in psychology would generally suggest negative instead of positive autoregressive effects for behavior, (b) it is challenging to recover true autoregressive parameters from simulated data, and (c) that real data sets across a number of different contexts show little to no evidence for autoregressive effects. Instead, our analyses suggest that CEM results are congruent with the temporal changes occurring within groups and that autoregressive effects do not lead to spurious CEM results. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Wellness checks: Piloting a universal intervention for soldiers.

As part of an Army pilot program, mandatory annual wellness checks were initiated to introduce individuals to counseling and to support psychological resilience and thriving. The program was evaluated using a cross-sectional survey completed by 7,831 soldiers. Findings revealed that about half of soldiers who reported a wellness check rated the check at least moderately helpful in their professional and personal lives. Participants receiving a wellness check reported being more likely to report willingness to seek help if they were to have mental health problems and to report higher levels of resilience and thriving even after controlling for rank, age, education, months in the unit, and trait negative affect. Participants were also less likely to report stigma-related concerns compared to those who had not received a wellness check. Consistent with theory on the common factors in counseling and the contextual model of psychotherapy (Laska et al., 2014), feeling listened to and learning new skills partially mediated the association between perceived wellness check usefulness and study outcomes, although acquiring a new perspective about problems did not. While not a randomized trial, this evaluation suggests that wellness checks are associated with programmatic goals: improved attitudes toward care seeking, resilience, and thriving. Future work should consider ways to ensure counselors address therapeutic common factors and should use a randomized, longitudinal design. Study findings have implications for implementing programs like wellness checks for military personnel and others working in high-stress occupations like first responders. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Associations of active-duty mental health trajectories with post-military adjustment: Results from the STARRS Longitudinal Study.

BACKGROUND: Many servicemembers experience difficulties transitioning from military to civilian life. We examined whether changes in mental health observed during active duty were associated with indices of post-military adjustment. METHODS: Survey data from the multi-wave Army STARRS Pre/Post Deployment Study (PPDS; conducted 2012-2014) were linked to follow-up data from wave 1 of the STARRS Longitudinal Study (STARRS-LS1; conducted 2016-2018). Empirical Bayes estimates of intercepts and slopes of posttraumatic stress, problematic anger, and depressive symptoms during the PPDS were extracted from mixed-effects growth models and evaluated as predictors of life stress among 1080 participants who had separated or retired from the Army at STARRS-LS1; and of job satisfaction among 586 veterans who were employed at STARRS-LS1. RESULTS: Higher average levels and larger increases in posttraumatic stress, anger, and depression over the deployment period were each associated with increased stress and (in the case of anger and depression) reduced job satisfaction. Posttraumatic stress and anger slopes were associated with overall stress (b = 5.60, p < 0.01 and b = 15.64, p = 0.04, respectively) and relationship stress (b = 5.50, p = 0.01 and b = 22.86, p = 0.01, respectively) beyond the average levels of those symptoms. LIMITATIONS: Some transition-related difficulties may have resolved before outcome assessment; some measures were not previously validated. CONCLUSIONS: Larger increases in posttraumatic stress and anger over a deployment period were associated with increased stress after leaving the Army, even after controlling for average symptom levels during the same period. Monitoring changes in mental health during active duty may help identify personnel who need additional support to facilitate the military-to-civilian transition.

Effects of prior deployments and perceived resilience on anger trajectories of combat-deployed soldiers.

BACKGROUND: Problematic anger is frequently reported by soldiers who have deployed to combat zones. However, evidence is lacking with respect to how anger changes over a deployment cycle, and which factors prospectively influence change in anger among combat-deployed soldiers. METHODS: Reports of problematic anger were obtained from 7298 US Army soldiers who deployed to Afghanistan in 2012. A series of mixed-effects growth models estimated linear trajectories of anger over a period of 1-2 months before deployment to 9 months post-deployment, and evaluated the effects of pre-deployment factors (prior deployments and perceived resilience) on average levels and growth of problematic anger. RESULTS: A model with random intercepts and slopes provided the best fit, indicating heterogeneity in soldiers' levels and trajectories of anger. First-time deployers reported the lowest anger overall, but the most growth in anger over time. Soldiers with multiple prior deployments displayed the highest anger overall, which remained relatively stable over time. Higher pre-deployment resilience was associated with lower reports of anger, but its protective effect diminished over time. First- and second-time deployers reporting low resilience displayed different anger trajectories (stable v. decreasing, respectively). CONCLUSIONS: Change in anger from pre- to post-deployment varies based on pre-deployment factors. The observed differences in anger trajectories suggest that efforts to detect and reduce problematic anger should be tailored for first-time v. repeat deployers. Ongoing screening is needed even for soldiers reporting high resilience before deployment, as the protective effect of pre-deployment resilience on anger erodes over time.

Hitting the mark: The influence of emotional culture on resilient performance.

Previous research has established the role of positive emotional cultures such as companionate love and joy in predicting team performance. Building on this work, the present study analyzes the role of positive emotional culture variables as predictors of resilient performance by examining patterns of objective team performance in U.S. Army tank crews over time. We also broaden the emotional culture domain by investigating an action-oriented positive emotional culture of optimism and a negative emotional culture of anger. During a high-stakes international military training exercise, 55 U.S. Army tank crews (N = 175) completed a pre-qualification performance event, a final qualification performance event, and surveys at baseline and after both events. The positive emotional culture of optimism predicted a pattern of resilient performance defined as a rebound from poor pre-qualification performance. Emotional cultures of joy and optimism also directly predicted final performance, but neither the emotional culture of companionate love, nor the emotional culture of anger was a significant predictor. Results demonstrate the distinct nature of each of these emotional culture variables, and show that these variables differ from group trait affectivity and cohesion. Teams with a strong emotional culture of optimism were better positioned to rebound in the face of poor performance, suggesting that organizations that promote an optimistic culture develop more resilient teams. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Unit cohesion during deployment and post-deployment mental health: is cohesion an individual- or unit-level buffer for combat-exposed soldiers?

BACKGROUND: Unit cohesion may protect service member mental health by mitigating effects of combat exposure; however, questions remain about the origins of potential stress-buffering effects. We examined buffering effects associated with two forms of unit cohesion (peer-oriented horizontal cohesion and subordinate-leader vertical cohesion) defined as either individual-level or aggregated unit-level variables. METHODS: Longitudinal survey data from US Army soldiers who deployed to Afghanistan in 2012 were analyzed using mixed-effects regression. Models evaluated individual- and unit-level interaction effects of combat exposure and cohesion during deployment on symptoms of post-traumatic stress disorder (PTSD), depression, and suicidal ideation reported at 3 months post-deployment (model n's = 6684 to 6826). Given the small effective sample size (k = 89), the significance of unit-level interactions was evaluated at a 90% confidence level. RESULTS: At the individual-level, buffering effects of horizontal cohesion were found for PTSD symptoms [B = -0.11, 95% CI (-0.18 to -0.04), p < 0.01] and depressive symptoms [B = -0.06, 95% CI (-0.10 to -0.01), p < 0.05]; while a buffering effect of vertical cohesion was observed for PTSD symptoms only [B = -0.03, 95% CI (-0.06 to -0.0001), p < 0.05]. At the unit-level, buffering effects of horizontal (but not vertical) cohesion were observed for PTSD symptoms [B = -0.91, 90% CI (-1.70 to -0.11), p = 0.06], depressive symptoms [B = -0.83, 90% CI (-1.24 to -0.41), p < 0.01], and suicidal ideation [B = -0.32, 90% CI (-0.62 to -0.01), p = 0.08]. CONCLUSIONS: Policies and interventions that enhance horizontal cohesion may protect combat-exposed units against post-deployment mental health problems. Efforts to support individual soldiers who report low levels of horizontal or vertical cohesion may also yield mental health benefits.

Sleep leadership in the army: A group randomized trial.

OBJECTIVES: Examine impact of training military leaders in sleep health on leaders and unit members. DESIGN: Following a baseline survey, two-person platoon leadership teams were randomly assigned by company to a training or waitlist control condition. After training, leadership teams completed a post-training survey. Six weeks later, leaders and unit members completed a final survey. SETTING: Classroom-style areas on a US military base. PARTICIPANTS: US soldiers (76 leaders and 448 unit members) from 39 platoons across 14 companies in a brigade combat team. INTERVENTION: One-hour training in sleep leadership. MEASUREMENTS: Leaders were surveyed about sleep knowledge, sleep attitudes, sleep training, sleep quantity, sleep quality and sleep problems. Unit members were surveyed about sleep leadership behaviors, sleep hours, sleep quality and sleep problems. RESULTS: Leaders rated the training highly and most knowledge and some attitudes about sleep improved from the baseline to post-training survey. Fewer leaders in the training condition reported sleep problems at follow-up than those in the waitlist control condition; there were no differences in sleep hours or sleep quality. More unit members with leaders in the training condition reported that their leaders engaged in sleep leadership behaviors at least sometimes and reported sleeping at least 7 hours/24 hours period than did unit members in the waitlist control condition; sleep quality and sleep problems did not differ by condition. CONCLUSIONS: Results suggest a simple training intervention targeting leaders may be able to shift sleep health and the cultural perspective on sleep across an organization.

Combat and Trajectories of Physical Health Functioning in U.S. Service Members.

INTRODUCTION: Previous research has demonstrated that different forms of mental health trajectories can be observed in service members, and that these trajectories are related to combat. However, limited research has examined this phenomenon in relation to physical health. This study aims to determine how combat exposure relates to trajectories of physical health functioning in U.S. service members. METHODS: This study included 11,950 Millennium Cohort Study participants who had an index deployment between 2001 and 2005. Self-reported physical health functioning was obtained 5 times between 2001 and 2016 (analyzed in 2017), and latent growth mixture modeling was used to identify longitudinal trajectories from these assessments. Differences in the shape and prevalence of physical health functioning trajectories were investigated in relation to participants' self-reported combat exposure over the index deployment. RESULTS: Five physical health functioning trajectories were identified (high-stable, delayed-declining, worsening, improving-worsening, and low-stable). Combat exposure did not influence the shape of trajectories (p=0.12) but did influence trajectory membership. Relative to personnel not exposed to combat, participants reporting combat exposure were more likely to be in the delayed-declining, worsening, and low-stable classes and less likely to be in the high-stable class. However, the high-stable class (i.e., the most optimal class) was the most common trajectory class among not exposed (73.0%) and combat-exposed (64.5%) personnel. CONCLUSIONS: Combat exposure during military deployment is associated with poorer physical health functioning trajectories spanning more than a decade of follow-up. However, even when exposed to combat, consistently high physical health functioning is the modal response.