When people start getting real: The Group Living Skills Survey for extreme work environments.

Introduction: Group living skills (GLS), that is, being tidy and considerate of others, are an important skillset for teams who live and work together. However, this construct does not have a validated measure to enable an understanding of how group living skills influence team dynamics over time. We developed and validated a short measure of group living skills for teams living in extreme work environments. Methods: We collected data from 83 individuals in 24 teams living and working in space and spaceflight analog environments on missions of 45-240 days. Results: We provide evidence of reliability and validity for the GLS Survey over time and identify a two-factor structure. We also demonstrate its use as a measure of team-level dynamics and its utility as a sociometric measure to identify a person's degree of group living skills. Discussion: We outline recommendations for using this new measure in future research and applied settings to understand this unique aspect of teams living and working together.

Dynamic team composition: A theoretical framework exploring potential and kinetic dynamism in team capabilities.

Organizations are increasingly called upon to solve complex problems in changing conditions that require the combined knowledge, skills, perspectives, and efforts of multiple individuals. These dynamic situations often require dynamic team composition. Dynamic team composition is sometimes thought of as synonymous to changes in membership, however, we contend that it also can occur through other means including team member development, the alignment between team member capabilities and the team's tasks, and changes in the accessibility to team member capabilities. Given the lack of overarching theories to organize and provide guidance on research and practice related to dynamic team composition, we take an interdisciplinary approach and leverage the fundamental concepts of potential and kinetic energy as a guiding framework to integrate the disparate literatures on dynamic team composition. We bring dynamic team composition to the forefront and delineate four types of dynamic team composition through staffing, development, situational relevance of member knowledge, skills, and abilities (KSAs) and access to member KSAs through relational resources. Next, we provide tangible recommendations for the design, measurement, and analysis of dynamic team composition. Finally, we provide guidance on developing dynamic research questions and infusing dynamics into existing theories. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

What We Know About Team Dynamics for Long-Distance Space Missions: A Systematic Review of Analog Research.

Background: To anticipate the dynamics of future long-distance space exploration mission (LDSEM) teams, research is conducted in analog environments (e.g., Antarctic expeditions, space chamber simulations), or environments that share key contextual features of LDSEM such as isolation and confinement. We conducted a systematic review of research conducted on teams in LDSEM-analog environments to identify which factors have been examined with quantitative research, and to summarize what the studies reveal about team dynamics in LDSEM-analog environments. Methods: We used a comprehensive search strategy to identify research on teams that lived and worked together. Data on team dynamics were extracted where possible, and sources were coded for key contextual features. The data did not lend themselves to traditional meta-analysis. We used two approaches to summarize the data: a weighted averages approach when the study reported enough data to calculate an effect size, and descriptive figures when data across studies were directly comparable. Results: Seventy-two sources met our inclusion criteria, yielding 253 effect sizes and 1,150 data points. Results from our weighted averages approach suggested that the team cohesion and performance relationship may be operating differently in isolated and confined environments than other teams that lived and worked together (e.g., military teams), and that, given the available data, we can say very little about the magnitude and direction of the relationship. Our descriptive figures revealed important trends: (a) team members in longer missions generally spent less social time together than shorter missions; (b) consistent team efficiency over time was typical, whereas decreased team efficiency over time was atypical; (c) by 40% of mission completion or 90 days, all teams reported at least one conflict, (d) commanders' written communication with mission control decreased in length over time, and (e) team mood dynamics did not consistently support the third-quarter phenomenon. Conclusions: There are inherent limitations to our study, given the nature of the analog research (e.g., correlational studies, small sample size). Even so, our systematic review provides key insights into team dynamics in LDSEM-analog environments. We discuss the implications of our research for managing future space crews. Importantly, we also provide guidance for future research.

Team composition and the ABCs of teamwork.

In teams, some combinations of people work together better than others. A large body of literature with a rich history suggests that the configuration of team member attributes, called team composition, has a fundamental influence on teamwork. Team composition shapes the emergence of affective states, behavioral processes, and cognitive states (the ABCs of teamwork), which ultimately affect how teams meet their objectives. The purpose of this article is to describe what is known about team composition and its influence on the ABCs of teamwork. We discuss what team composition is, and why it is important. We then describe key discoveries related to how team composition shapes the ABCs of teamwork. Building on what we know, we outline important directions for future research. (PsycINFO Database Record

Team Composition Issues for Future Space Exploration: A Review and Directions for Future Research.

BACKGROUND: Future space exploration, such as a mission to Mars, will require space crews to live and work in extreme environments unlike those of previous space missions. Extreme conditions such as prolonged confinement, isolation, and expected communication time delays will require that crews have a higher level of interpersonal compatibility and be able to work autonomously, adapting to unforeseen challenges in order to ensure mission success. Team composition, or the configuration of member attributes, is an important consideration for maximizing crewmember well-being and team performance. METHODS: We conducted an extensive search to find articles about team composition in long-distance space exploration (LDSE)-analogue environments, including a search of databases, specific relevant journals, and by contacting authors who publish in the area. RESULTS: We review the team composition research conducted in analogue environments in terms of two paths through which team composition is likely to be related to LDSE mission success, namely by 1) affecting social integration, and 2) the team processes and emergent states related to team task completion. DISCUSSION: Suggestions for future research are summarized as: 1) the need to identify ways to foster unit-level social integration within diverse crews; 2) the missed opportunity to use team composition variables as a way to improve team processes, emergent states, and task completion; and 3) the importance of disentangling the effect of specific team composition variables to determine the traits (e.g., personality, values) that are associated with particular risks (e.g., subgrouping) to performance.

Facet personality and surface-level diversity as team mental model antecedents: implications for implicit coordination.

Team mental models (TMMs) have received much attention as important drivers of effective team processes and performance. Less is known about the factors that give rise to these shared cognitive structures. We examined potential antecedents of TMMs, with a specific focus on team composition variables, including various facets of personality and surface-level diversity. Further, we examined implicit coordination as an important outcome of TMMs. Results suggest that team composition in terms of the cooperation facet of agreeableness and racial diversity were significantly related to team-focused TMM similarity. TMM similarity was also positively predictive of implicit coordination, which mediated the relationship between TMM similarity and team performance. Post hoc analyses revealed a significant interaction between the trust facet of agreeableness and racial diversity in predicting TMM similarity. Results are discussed in terms of facilitating the emergence of TMMs and corresponding implications for team-related human resource practices.

The power of "we": effects of psychological collectivism on team performance over time.

We examined the influences of different facets of psychological collectivism (Preference, Reliance, Concern, Norm Acceptance, and Goal Priority) on team functioning at 3 different performance depictions: initial team performance, end-state team performance, and team performance change over time. We also tested the extent to which team-member exchange moderated the relationships between facets of psychological collectivism and performance change over time. Results from multilevel growth modeling of 66 teams (N = 264) engaged in a business simulation revealed differential effects across facets of psychological collectivism and across different performance measurements. Whereas facets concerned with affiliation (Preference and Concern) were positively related to initial team performance, reliance was negatively related to initial team performance. Goal Priority was a strong predictor of end-state performance. Team-member exchange moderated the relationship between performance change and 3 of the 5 facets of psychological collectivism (Preference, Reliance, Norm Acceptance). Implications for team composition and team training are discussed.

Deep-level composition variables as predictors of team performance: a meta-analysis.

This study sought to unify the team composition literature by using meta-analytic techniques to estimate the relationships between specified deep-level team composition variables (i.e., personality factors, values, abilities) and team performance. The strength of the team composition variable and team performance relationships was moderated by the study setting (lab or field) and the operationalization of the team composition variable. In lab settings, team minimum and maximum general mental ability and team mean emotional intelligence were related to team performance. Only negligible effects were observed in lab settings for the personality factor and team performance relationships, as well as the value and team performance relationships. In contrast, team minimum agreeableness and team mean conscientiousness, openness to experience, collectivism, and preference for teamwork emerged as strong predictors of team performance in field studies. Results can be used to effectively compose teams in organizations and guide future team composition research.

The use of person-organization fit in employment decision making: an assessment of its criterion-related validity.

Because measures of person-organization (P-O) fit are accountable to the same psychometric and legal standards used for other employment tests when they are used for personnel decision making, the authors assessed the criterion-related validity of P-O fit as a predictor of job performance and turnover. Meta-analyses resulted in estimated true criterion-related validities of .15 (k = 36, N = 5,377) for P-O fit as a predictor of job performance and .24 (k = 8, N = 2,476) as a predictor of turnover, compared with a stronger effect of .31 (k = 109, N = 108,328) for the more commonly studied relation between P-O fit and work attitudes. In contrast to the relations between P-O fit and work attitudes, the lower 95% credibility values for the job performance and turnover relations included zero. In addition, P-O fit's relations with job performance and turnover were partially mediated by work attitudes. Potential concerns pertaining to the use of P-O fit in employment decision making are discussed in light of these results.

Relationships among team ability composition, team mental models, and team performance.

This study examined the relationship between the similarity and accuracy of team mental models and compared the extent to which each predicted team performance. The relationship between team ability composition and team mental models was also investigated. Eighty-three dyadic teams worked on a complex skill task in a 2-week training protocol. Results indicated that although similarity and accuracy of team mental models were significantly related, accuracy was a stronger predictor of team performance. In addition, team ability was more strongly related to the accuracy than to the similarity of team mental models and accuracy partially mediated the relationship between team ability and team performance, but similarity did not.

Convergence of self-report and archival crash involvement data: a two-year longitudinal follow-up.

This study constructively extends Arthur et al. (2001) by assessing the convergence of self-report and archival motor vehicle crash involvement and moving violations data in a 2-year longitudinal follow-up. The relationships among these criteria, conscientiousness, and driving speed were also assessed using both predictive and postdictive criterion-related validation designs. Data were collected from a 2-year follow-up sample of 334 participants. Results suggested a lack of convergence between self-report and archival data at both Time 1 and Time 2. In addition, the predictor/criterion relationships varied across research design and data source. An actual application of our findings is that the interpretation of relationships between specified predictors and crash involvement and moving violations must be made within the context of the criterion-related validation design and criterion data source. Specifically, predictive designs may produce results different from those of postdictive designs (which are more commonly used). Furthermore, self-report data appear to include a broader range of incidents (more crashes and tickets), and thus researchers should consider using self-report data when they are interested in including lower threshold crashes and tickets that may not be reported on state records (e.g., because of the completion of a defensive driving course).

Team task analysis: identifying tasks and jobs that are team based.

This paper presents initial information on the development and validation of three team task analysis scales. These scales were designed to quantitatively assess the extent to which a group of tasks or a job is team based. During a 2-week period, 52 male students working in 4-person teams were trained to perform a complex highly interdependent computer-simulated combat mission consisting of both individual- and team-based tasks. Our results indicated that the scales demonstrated high levels of interrater agreement. In addition, the scales differentiated between tasks that were predetermined to be individual versus team based. Finally, the results indicated that job-level ratings of team workflow were more strongly related to team performance than were aggregated task-level ratings of team-relatedness or team workflow. These results suggest that the scales presented here are an effective means of quantifying the extent to which tasks or jobs are team based. A research and practical implication of our findings is that the team task analysis scales could serve as criterion measures in the evaluation of team training interventions or predictors of team performance.

Effectiveness of training in organizations: a meta-analysis of design and evaluation features.

The authors used meta-analytic procedures to examine the relationship between specified training design and evaluation features and the effectiveness of training in organizations. Results of the meta-analysis revealed training effectiveness sample-weighted mean ds of 0.60 (k = 15, N = 936) for reaction criteria, 0.63 (k = 234, N = 15,014) for learning criteria, 0.62 (k = 122, N = 15,627) for behavioral criteria, and 0.62 (k = 26, N = 1,748) for results criteria. These results suggest a medium to large effect size for organizational training. In addition, the training method used, the skill or task characteristic trained, and the choice of evaluation criteria were related to the effectiveness of training programs. Limitations of the study along with suggestions for future research are discussed.