Literature DB >> 34145530

Pursuing Collective Synchrony in Teams: A Regime-Switching Dynamic Factor Model of Speed Similarity in Soccer.

Daniel M Smith1, Theodore A Walls2.   

Abstract

Collective synchrony refers to the simultaneous occurrence of behavior, cognition, emotion, and/or physiology within teams of three or more persons. It has been suggested that collective synchrony may emanate from the copresence of team members, from their engagement in a shared task, and from coordination enacted in pursuit of a collective goal. In this paper, a regime-switching dynamic factor analytical approach is used to examine interindividual similarities in a particular behavioral measure (i.e., speed) in a collegiate soccer team. First, the analytical approach is presented didactically, including the state space modeling framework in general, followed by the regime-switching dynamic factor model in particular. Next, an empirical application of the approach is presented. Speed similarity (covariation in speed, operationalized in two ways: running cadence and distance covered) during competitive women's soccer games is examined. A key methodological aspect of the approach is that the collective is the unit of analysis, and individuals vary about collective dynamics and their evolution. Reporting on the results of this study, we show how features of substantive interest, such as the magnitude and prevalence of behavioral similarity, can be parameterized, interpreted, and aggregated. Finally, we highlight several key findings, as well as opportunities for future research, in terms of methodological and substantive aims for advancing the study of collective synchrony.
© 2021. The Psychometric Society.

Entities:  

Keywords:  intensive longitudinal data; state space models; time series

Mesh:

Year:  2021        PMID: 34145530     DOI: 10.1007/s11336-021-09782-1

Source DB:  PubMed          Journal:  Psychometrika        ISSN: 0033-3123            Impact factor:   2.290


  7 in total

1.  Sports teams as superorganisms: implications of sociobiological models of behaviour for research and practice in team sports performance analysis.

Authors:  Ricardo Duarte; Duarte Araújo; Vanda Correia; Keith Davids
Journal:  Sports Med       Date:  2012-08-01       Impact factor: 11.136

2.  Physiological compliance and team performance.

Authors:  Amanda N Elkins; Eric R Muth; Adam W Hoover; Alexander D Walker; Thomas L Carpenter; Fred S Switzer
Journal:  Appl Ergon       Date:  2009-03-09       Impact factor: 3.661

3.  Physio-behavioral coupling in a cooperative team task: contributors and relations.

Authors:  Adam J Strang; Gregory J Funke; Sheldon M Russell; Allen W Dukes; Matthew S Middendorf
Journal:  J Exp Psychol Hum Percept Perform       Date:  2013-06-10       Impact factor: 3.332

4.  Competing together: Assessing the dynamics of team-team and player-team synchrony in professional association football.

Authors:  Ricardo Duarte; Duarte Araújo; Vanda Correia; Keith Davids; Pedro Marques; Michael J Richardson
Journal:  Hum Mov Sci       Date:  2013-07-03       Impact factor: 2.161

Review 5.  Interpersonal Autonomic Physiology: A Systematic Review of the Literature.

Authors:  Richard V Palumbo; Marisa E Marraccini; Lisa L Weyandt; Oliver Wilder-Smith; Heather A McGee; Siwei Liu; Matthew S Goodwin
Journal:  Pers Soc Psychol Rev       Date:  2016-02-26

6.  A cluster phase analysis for collective behavior in team sports.

Authors:  Maurici A López-Felip; Tehran J Davis; Till D Frank; James A Dixon
Journal:  Hum Mov Sci       Date:  2018-04-05       Impact factor: 2.161

7.  Social-physiological compliance as a determinant of team performance.

Authors:  R A Henning; W Boucsein; M C Gil
Journal:  Int J Psychophysiol       Date:  2001-04       Impact factor: 2.997

  7 in total

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