Operational definitions in performance Analysis and the need for consensus.

Williams, Jason

doi:10.1080/24748668.2012.11868582

Cited by 10 publications

(7 citation statements)

References 1 publication

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“…The squash court was divided into a 4 x 4 positional matrix ( Figure 1) and a range of shot types, distributions and critical incidents were identified. Each shot type and critical incident was given written definitions prior to match analysis (Table 1) (Williams, 2012). In an attempt to address the limitations of previous research regarding the inability to identify exactly how accurate a particular shot was, an additional level of ball landing identification was used within the 4 x 4 matrix (Figure 1).…”

Section: Methodsmentioning

confidence: 99%

The importance of perturbations in elite squash: An analysis of their ability to successfully predict rally outcome

Roddy

Lamb

Worsfold

2014

International Journal of Performance Analysis in Sport

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Section: Methodsmentioning

confidence: 99%

The importance of perturbations in elite squash: An analysis of their ability to successfully predict rally outcome

Roddy

Lamb

Worsfold

2014

International Journal of Performance Analysis in Sport

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“…It is plausible that these measures become often used in the academic world without accurate knowledge of the critters that define the operational definitions. Simultaneously, there are concerns related to a lack of operational definitions in the published papers (Carling et al, 2014;James, 2006aJames, , 2006bMackenzie & Cushion, 2013;Sarmento et al, 2014;Williams, 2012). This raises many uncertainties about the exact meaning of the performance indicator, although there is an actual awareness on the need to address this problem.…”

Section: Introductionmentioning

confidence: 99%

“…A performance indicator is a selection, or combination, of action variables that aims to define some or all aspects of a performance (Hughes & Bartlett, 2002). It is recognised the importance of its operational definition in the validity and reliability of data (James, 2006a(James, , 2006bWilliams, 2012). It would be not enough to consider a performance indicator per se, since different operational definitions may capture and/or exclude relevant information.…”

Section: Introductionmentioning

confidence: 99%

“…This raises many uncertainties about the exact meaning of the performance indicator, although there is an actual awareness on the need to address this problem. It has been postulated the need for consensus in operational definitions for sports (Williams, 2012), and if this is desirable, can also be argue the usefulness for a certain degree of adaptability in the operational definitions criteria. For instance, how restrictive should be the criterion that defines the occurrence of a ball recovery?…”

Section: Introductionmentioning

confidence: 99%

“…Is created an ad hoc observation instrument to make possible to detect the behaviors patterns under investigation (Silva, Bañuelos, Garganta, & Anguera, 2005). The criteria of the operational definitions must be accurately defined and unambiguous (James, 2006b;Williams, 2012). It is necessary to test the design of the system of analysis, ensuring that there is no error in the definitions and in the system of measurement (James et al, 2002;Tucker et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

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The ball recovery as an action related performance indicator in Football – an example using distinct operational definitions

Santos

Silva²,

Lago‐Peñas

2017

jhse

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The aim of the study was to demonstrate the impact of different operational definitions (definition 1 -Amisco; definition 2 -Garganta, 1997; definition 3 -Garganta, 1997, adapted) over the frequency and location of ball recovery, and provide bases to select the most useful definition to an intended analysis. The sample is the first half of twelve matches from the Spanish soccer league. Matches were registered using AMISCO®. Data were examined using Cochran's Q test and Kruskal-Wallis test. Results showed that the frequency and location of ball recovery differ depending on the operational definition used. Definitions 1, 2 and 3 identified 909, 272 and 310 ball recoveries, respectively (p< 0.001 for all pairs of comparisons). The median distance from the goal to the location of ball recovery was, in meters, 40.0 (35.7) using definition 1, 32.2 (34.8) using definition 2 and 32.7 (34.3) when definition 3 was used (p<0.001 for comparisons between definition 1 and 2, and definition 1 and 3). The operational definitions impact in match analysis and consequently in the interpretation of the play. The criteria used should incorporate an instrumental selectivity that points to the purposes of the assessment. Concerning the frequency, definition 1 is the most glade, and definition 2 the most restrictive. Regarding the location, there were no significant differences between definition 2 and 3. Definition 2 allows to gain suitable and meaningful comparisons as previous studies has already based on it. Despite the differences, both definition 1 and 2 have a practical value. Ultimately, it is important to verify if the measurement instrument satisfies the logical intentions of the observational system .

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How are elite tennis matches won at Wimbledon? A comparison of close and one‐sided contests

Fitzpatrick,

Stone,

Choppin

et al. 2024

European Journal of Sport Science

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Notational analysis investigations of several sports have suggested that the performance characteristics associated with success differ by match closeness. It is not known whether this is the case in tennis. Therefore, this study aimed to first develop operational definitions for closely contested and one‐sided tennis matches, then establish whether the important performance characteristics in elite grass court tennis differ by match closeness. Data from 365 men and 374 women's Wimbledon single matches played between 2015 and 2017 were analyzed. Irrespective of match closeness, points won of 0–4 shot rally length, first serve points won and baseline points won were associated with winning matches, and forced errors and unforced errors were associated with losing matches, for both sexes. Spearman's rank‐order correlations demonstrated excellent agreement between the importance of the performance characteristics in closely contested and one‐sided men (rs = 0.89, p < 0.001) and women's matches (rs = 0.90, p < 0.001), respectively. Findings suggest that expected match closeness (of an upcoming match) should not necessarily influence decision‐making around practice design and match‐play strategy. Additionally, the operational definitions developed for closely contested and one‐sided matches developed here could be used in future studies to investigate different competitive contexts.

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Operational definitions in performance Analysis and the need for consensus.

Cited by 10 publications

References 1 publication

The importance of perturbations in elite squash: An analysis of their ability to successfully predict rally outcome

The importance of perturbations in elite squash: An analysis of their ability to successfully predict rally outcome

The ball recovery as an action related performance indicator in Football – an example using distinct operational definitions

How are elite tennis matches won at Wimbledon? A comparison of close and one‐sided contests

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