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Although executive coaching has been shown to be effective, few research initiatives have attempted to understand the importance of the emergent relationship between a coach and coachee. This article explores the factors that influence coaching outcomes from both the coach and coachee’s perspective and presents the results of the mediating effect that working alliance and information sharing have on coachee goal attainment and coachee insight outcomes. The authors explored these factors in both an academic coachee sample as well as an executive field sample. Results showed that coachee motivation was significantly positively related with coachee goal attainment and coachee insight in an academic sample but not in a field sample. Moreover, working alliance and information sharing partially mediated the relationship between a coach’s psychological mindedness and coachee insight in an academic, but not field, sample. Another notable result was that the difficulty of the coaching goal did not impact how successful the coaching engagement was in terms of goal attainment. Implications of these findings for both research and practice are discussed.

Objective: The aim of this study was to review literature relevant to cohesion measurement, explore developing measurement approaches, and provide theoretical and practical recommendations for optimizing cohesion measurement.Background: Cohesion is essential for team effectiveness and performance, leading researchers to focus attention on understanding how to enhance it. However, cohesion is inconsistently defined and measured, making it difficult to compare findings across studies and limiting the ability to advance science and practice.Method: We reviewed empirical research through which we uncovered specific information about cohesion's conceptualization, measurement, and relationships with performance, culminating in a set of current trends from which we provide suggestions and possible solutions to guide future efforts and help the field converge toward greater consistency.Results: Cohesion demonstrates more significant relationships with performance when conceptualized using social and task (but not other) dimensions and when analyses are performed at the team level. Cohesion is inherently temporal, yet researchers rarely measure cohesion at multiple points during the life of a team. Finally, cohesion matters in large, dynamic collectives, complicating measurement. However, innovative and unobtrusive methodologies are being used, which we highlight.Conclusion: Practitioners and researchers are encouraged to define cohesion with task and social subdimensions and to measure with behavioral and attitudinal operationalizations. Individual and team-oriented items are recommended, though teamlevel analyses are most effective. Innovative/unobtrusive methods should be further researched to enable cohesion measurement longitudinally and in large, dynamic collectives.Application: By applying our findings and conclusions, researchers and practitioners will be more likely to find consistent, reliable, and significant cohesion-to-performance relationships.

Team research increasingly incorporates emergent states as an integral mediator between team inputs and outcomes. In conjunction with this, we have witnessed a proliferation and fragmentation of measurement techniques associated with emergent states. This inconsistency in measurement presents a problem for scientists and practitioners alike. For the scientist, it becomes difficult to better understand the nature and effects of various emergent states on team processes and outcomes. For the practitioner, it complicates the process of measurement development, selection, and implementation. To address these issues, we review the literature on emergent states focusing on various measurement strategies, to better unpack best practices. In so doing, we highlight existing research that suggests innovative solutions to the conceptual, methodological, and logistical problems that consistently plague emergent state research. Our aim is to enhance emergent state theory by applying psychometric principles to the measurement techniques associated with them.

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