Sequential Behavior Analysis in Sport
Sequential behavior analysis treats a sporting performance not as a bag of independent events but as an ordered stream in which what happens next depends on what just happened. Drawing on Roger Bakeman and John Gottman's authoritative 1997 text Observing Interaction: An Introduction to Sequential Analysis, the method codes play into a time-ordered sequence of mutually exclusive events, builds a transition matrix counting how often each event is followed by each other event at a given lag, and converts these counts into conditional transition probabilities. Crucially, it tests those probabilities against what would be expected by chance, so that genuinely recurrent patterns of play — the move that reliably leads to a shot, the defensive action that triggers a turnover — can be distinguished from coincidence. Hughes and Bartlett's performance-indicator framework supplies the bridge from these tested sequences to actionable tactical knowledge.
원본 기록
방법의 원본 기록에서 그대로 복사된 인용입니다. 이로부터 수준별 검증이 추론되지 않습니다.
- Bakeman, R., & Gottman, J. M. (1997). Observing Interaction: An Introduction to Sequential Analysis (2nd ed.). Cambridge: Cambridge University Press. · ISBN 9780521574273
- Hughes, M. D., & Bartlett, R. M. (2002). The use of performance indicators in performance analysis. Journal of Sports Sciences, 20(10), 739-754. · DOI 10.1080/026404102320675602
큐레이션된 주장
각각 자체 평가와 함께 증거 원장에 유지된 주장입니다.
원장에 주장 평가가 없는 경우 이 보기에서는 주장 평가를 만들지 않습니다.
관련 방법
방법 그래프에서 생성되었으며 기계가 제안한 관계로 표시됩니다 — 증거 주장이 추론되지 않습니다.