The DOI matches its Crossref record; 218 of the 218 references it cites were found in a registry or an index.
The team cohesion-performance relationship: A meta-analysis exploring measurement approaches and the changing team landscape
Abstract
Team cohesion is an important antecedent of team performance, but our understanding of this relationship is mired by inconsistencies in how cohesion has been conceptualized and measured. The nature of teams is also changing, and the effect of this change is unclear. By meta-analyzing the cohesion-performance relationship ( k = 195, n = 12,023), examining measurement moderators, and distinguishing modern and traditional team characteristics, we uncovered various insights. First, the cohesion-performance relationship varies based on degree of proximity. More proximal measures –task cohesion, referent-shift, and behaviorally-focused– show stronger relationships compared to social cohesion, direct consensus, and attitudinally-focused, which are more distal. Differences are more pronounced when performance metrics are also distal. Second, group pride is more predictive than expected. Third, the cohesion-performance relationship and predictive capacity of different measures are changing in modern contexts, but findings pertaining to optimal measurement approaches largely generalized. Lastly, important nuances across modern characteristics warrant attention in research and practice. Plain Language Summary: Team cohesion is an important antecedent of team performance, but our understanding of this relationship is mired by inconsistencies in how cohesion has been conceptualized and measured. The nature of teams has also changed over time, and the effect of this change is unclear. By meta-analyzing the cohesion-performance relationship ( k = 195, n = 12,023), examining measurement moderators, and distinguishing between modern and traditional team characteristics, we uncovered various insights for both research and practice. First, the cohesion-performance relationship varies based on degree of proximity. Measures that are more proximal to what a team does – those assessing task cohesion, utilizing referent shift items, and capturing behavioral manifestations of cohesion – show stronger relationships with performance compared to those assessing social cohesion, utilizing direct consensus items, and capturing attitudinal manifestations of cohesion, which are more distal. These differences are more pronounced when performance metrics are also more distal. Second, despite being understudied, the group pride-performance relationship was stronger than expected. Third, modern team characteristics are changing both the overall cohesion-performance relationship and the predictive capacity of different measurement approaches, but findings pertaining to the most optimal measurement approaches largely generalized in that these approaches were less susceptible to the influence of modern characteristics. However, in some contexts, distal cohesion metrics are just as predictive as their more proximal counterparts. Lastly, there are important nuances across different characteristics of modern teams that warrant additional research attention and should be considered in practice. Overall, findings greatly advance science and practice pertaining to the team cohesion-performance relationship.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“A recent meta-analysis (Grossman et al., 2022) concludes that cohesion is a multidimensional construct with unique influences from individual facets (Grossman et al., 2022).”
From An unobtrusive approach to modelling team cohesion and collaboration in ecological classroom settings (2026) · cites this paper as Grossman et al., 2022
Citations
Cites
1 retracted
Items 201–218 of 218
Weng, L., Su, C., & Lai, Y.-C. (2011) · Tamkang University Institutional Repository (TKUIR) · doi:10.6126/apmr.2011.16.2.05 · Cited by 10
Patrick, R. R. (1997) · Lincoln (University of Nebraska) · Cited by 9
Predicting Group Outcomes from Brief Exposures
Stillman, P. E., Gilovich, T. D., & Fujita, K. (2014) · Social Cognition · doi:10.1521/soco.2014.32.1.71 · Cited by 9
Team Members’ Interaction Anxiety and Team-Training Effectiveness
Naber, A. M., McDonald, J. N., Asenuga, O. A., & Arthur, W. (2014) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720814538814 · Cited by 8
Rules for Leadership. Improving Unit Performance
Blades, J. W. (1986) · doi:10.21236/ada187577 · Cited by 7
The Effects of Communication Media and Team Composition in Virtual and Face-to-Face Teams
Graebner, R. (2012) · ProQuest Demo Repository · Cited by 5
Guchait, P., Tews, M. J., & Simons, T. L. (2014) · Journal of Human Resources in Hospitality & Tourism · doi:10.1080/15332845.2014.866452 · Cited by 5
THE RELATIONSHIP BETWEEN GROUP DYNAMICS AND TEAM PERFORMANCE IN BUSINESS SIMULATION GAMES.
Hunger, J. D., & Wheelen, T. L. (1975) · Academy of Management Proceedings · doi:10.5465/ambpp.1975.4978499 · Cited by 4
How organizational citizenship behavior influences group effectiveness
Higgins, K. D. (2002) · Huskie Commons (Northern Illinois University) · Cited by 4
A Team-Level Social Exchange Model: The Antecedents and Consequences of Leader-Team Exchange
Hu, J. J. (2012) · Figshare · Cited by 4
Lorenz, C. (1986) · Medical Entomology and Zoology · Cited by 3
Group cohesiveness and team success among women's intercollegiate basketball teams
Cotter, L. L. (1979) · Medical Entomology and Zoology · Cited by 3
POSITIVE AND NEGATIVE AFFECT: HOW DO THEY IMPACT HACKMAN’S (1987) MODEL OF GROUP EFFECTIVENESS
Erdheim, J. (2007) · OhioLink ETD Center (Ohio Library and Information Network) · Cited by 3
Cohesion, performance, and satisfaction in the co-acting sport of collegiate wrestling
Arroyo, D. G. (1996) · OpenCommons - UConn (University of Connecticut) · Cited by 2
An examination of the multiple-level effects of gender and race on group problem-solving.
Szumal, J. L. (2025) · Figshare · Cited by 2
Team cohesion and its relationship to performance success in the Cape Cod Baseball League
Johnson, A. L. (1998) · Cited by 1
Rapp, T. L. (2009) · OpenCommons at University of Connecticut (University of Connecticut) · Cited by 1
Research works printed but not linked: 45
- *Bailey E. J., 2007, Dissertation Abstracts International: Section B: The Sciences and Engineering, 68, 1969
- *Ball J. R., 1976, Canadian Journal of Applied Sport Sciences, 1, 271
- 10.2307/2579670 · DOI · Paper page
- Crawford E. R., 2014, Dissertation Abstracts International Section A: Humanities and Social Sciences, 75
- *Cooper B. L., 2004, Group norms and performance: A general model of work team performance using Jackson’s return potential model of group norms
- *Curtis A. B., 2004, The impact of task type on the relationship between group constructs and performance
- *Dailey R. C., 1978, Journal of Management, 4, 69
- *Dayan M., 2008, Journal of Business & Industrial Marketing, 23, 566
- *Druskat V. U., 1995, A team competency study of self-managed manufacturing teams
- *Dusig M. S., 2000, Enhancing team confidence: Collective efficacy as a mediator of the relationship between team leadership style and team outcomes
- *Eisenberg J., 2001, The effects of reward schemes, individualism-collectivism, and intrinsic motivation on teams’ creative performance
- Farrar T. D., 2010, Dissertation Abstracts International: Section B: The Sciences and Engineering, 71, 645
- *George J. A., 1999, Dissertation Abstracts International: Section B: The Sciences and Engineering, 59, 5147
- *Halfhill T. R., 2001, Dissertation Abstracts International: Section B: The Sciences and Engineering, 61, 5037
- *Hambley L. A., 2006, Dissertation Abstracts International: Section B: The Sciences and Engineering
- *Kane T. D., 1996, Dissertation Abstracts International: Section B: The Sciences and Engineering, 57, 2198
- *Keller R. T., 1986, Academy of Management Journal, 29, 715
- *Kickul G. H., 2000, Dissertation Abstracts International Section A: Humanities and Social Sciences, 61, 2270
- *Ko J., 2005, Dissertation Abstracts International Section A: Humanities and Social Sciences, 66, 2290
- *Langfred C. W., 1998, The importance of cross-level analysis and contextual contingencies when granting autonomy to groups and individuals in organizations
- *Lowe T. A., 1994, The effects of unexpected change in the context of a crisis on work group effectiveness
- *Marberry S. J., 2007, Dissertation Abstracts International: Section B: The Sciences and Engineering
- *May K. E., 1994, Understanding the differential effects of demographic- and ability-based diversity on the processes and performance of decision-making teams
- *Melnick M. J., 1974, Research Quarterly, 45, 1
- *Metts Iv V. L., 1996, Dissertation Abstracts International: Section B: The Sciences and Engineering, 56, 4623
- Nunnally J. C., 1978, Psychometric theory
- *Panzer F. J., 2003, Dissertation Abstracts International: Section B: The Sciences and Engineering, 64, 1534
- *Paskevich D. M., 1996, Dissertation Abstracts International: Section B: The Sciences and Engineering
- *Phillips J. I., 1996, The effect of group resources and individual group processes on the use of minority knowledge and group decision-making outcomes
- *Prien K. O., 2000, The effects of cooperative learning, cohesion, and commitment on team performance
- *Purvanova R. K., 2009, Dissertation Abstracts International: Section B: The Sciences and Engineering, 70, 726
- *Rapisarda B. A., 2003, Dissertation Abstracts International: Section B: The Sciences and Engineering
- *Riolli-Saltzman L., 1999, Dissertation Abstracts International Section A: Humanities and Social Sciences, 59, 3080
- *Schmidt J., 2008, Dissertation Abstracts International: Section B: The Sciences and Engineering, 69, 2665
- *Seong J. Y., 2015, Journal of Management, 41, 1184
- *Shapcott K. M., 2010, Dissertation Abstracts International: Section B: The Sciences and Engineering
- Siebold G. L., 2006, Military Life: The Psychology of Serving in Peace and Combat, 1, 185
- *Tesluk P. E., 1996, An investigation of work group management of the technological environment: Implications for group performance
- *Tziner A., 1983, Journal of Occupational Behavior, 4, 137
- *Vacharkulksemsuk T., 2013, Dissertation Abstracts International: Section B: The Sciences and Engineering
- *Weng L.-C., 2011, Asia Pacific Management Review, 16, 181
- *Wolff S. B., 1998, Dissertation Abstracts International Section A: Humanities and Social Sciences, 59, 0889
- *Wong S.-S., 2003, Dissertation Abstracts International Section A: Humanities and Social Sciences, 63, 3261
- *Yousofpourfard H., 2012, Dissertation Abstracts International Section A: Humanities and Social Sciences
- *Zakrajsek R. A., 2007, Athletic Insight: The Online Journal of Sport Psychology, 9, 1
Cited by
Sorted by citations
The study of followers in leadership research: A systematic and critical review
Oc, B., Chintakananda, K., Bashshur, M. R., & Day, D. V. (2023) · The Leadership Quarterly · doi:10.1016/j.leaqua.2022.101674 · Cited by 100
Group Formation and the Evolution of Human Social Organization
Dreu, C. K. W. D., Gross, J., & Romano, A. (2023) · Perspectives on Psychological Science · doi:10.1177/17456916231179156 · Cited by 44
“…and selection-attrac-tion-attrition is the literature on the psychological states associated with group membership such as group commitment (Dutton et al., 1994), perceived cohesiveness (McConnell et al., 1997; Grossman et al., 2022), and social identification (Hogg & Terry, 2000; Spears, 2021).”
BackgroundA Multimodal Social Signal Processing Approach to Team Interactions
Lehmann‐Willenbrock, N., & Hung, H. (2023) · Organizational Research Methods · doi:10.1177/10944281231202741 · Cited by 29
“…can examine to what extent automatically detected behavioral expressions of task and social cohesion predict objective team performance outcomes, in light of previously established linkages between cohesion and performance in the survey-based literature (for an overview, see Grossman et al., 2022).”
The perceptions of task cohesion in collaborative learning teams
Zamecnik, A., Kovanović, V., Joksimovíc, S., Großmann, G., Ladjal, D., & Pardo, A. (2024) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-024-09424-5 · Cited by 26
“One of the unique characteristics of teams is their ability to achieve and maintain high levels of team cohesion, an essential component of these capabilities (Beal et al., 2003; Grossman et al., 2021; Kozlowski et al., 1999).”
InfluentialEjaz, H., Shafique, I., & Qammar, A. (2024) · Journal of Organizational Change Management · doi:10.1108/jocm-09-2023-0367 · Cited by 28
Metadata
- Authors
- Grossman, R., Nolan, K., Rosch, Z., Mazer, D., & Salas, E.
- Affiliations
- Hofstra University (US)
- Rice University, USA
- Corresponding author
- Grossman, Rebecca
- ORCID
- Grossman, Rebecca
- Venue
- Organizational Psychology Review
- Publisher
- SAGE Publications
- Published
- 2021-09-09
- Volume
- 12
- Issue
- 2
- Pages
- 181-238
- ISSN
- 2041-3866 (ISSN-L)
- 2041-3874
- OpenAlex
- W3199995837
- Cited by
- 133
- References
- 218
- Citations by year
- 2026: 41 · 2025: 37 · 2024: 28 · 2023: 23 · 2022: 4
- FWCI
- 2.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Organizational Psychology Review (publishedVersion)
- Rice Research Repository (Rice University) (submittedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Team Dynamics and Performance
- Social Sciences › Psychology › Developmental and Educational Psychology › Sport Psychology and Performance
- Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
- Keywords
- team cohesion, team performance, task cohesion, social cohesion, cohesion measurement, team characteristics, performance indicators, team diversity, team heterogeneity, team size, team leadership, team decision-making
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review