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european college of sport science

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Friday, June 26th, 2009<br />

broader social community, that enable the <strong>of</strong>fender to abuse a victim with minimal resistance and/or repercussion (van Dam, 2001).<br />

Relative to abuse prevention, an understanding <strong>of</strong> the various grooming factors is particularly important because these factors can bring<br />

about the appearance <strong>of</strong> co-operation from the victim, making acts <strong>of</strong> abuse seem to be consensual (Fasting & Brackenridge, 2005). Todate,<br />

different types <strong>of</strong> grooming have been examined relative to the coercion <strong>of</strong> individuals to sexual abuse or sexual molestation (Leberg,<br />

1997). Exploration <strong>of</strong> the grooming <strong>of</strong> other maltreatments remains to be examined. The purpose <strong>of</strong> this study, therefore, was to<br />

determine what factors contribute to the grooming <strong>of</strong> athletes to emotional abuse. Data for the present study were gleaned from a series<br />

<strong>of</strong> previous interviews on athletes’ experiences <strong>of</strong> emotional abuse. Interview transcriptions were included in the present study if the<br />

athlete had reported experiences <strong>of</strong> emotional abuse in the coach-athlete relationship, expressed some degree <strong>of</strong> present or past acquiescence<br />

to his/her emotionally abusive experiences, and was able to articulate various sources <strong>of</strong> influence perceived to affect<br />

his/her acquiescence. As such, data used in the present study included the interviews <strong>of</strong> 30 elite athletes (male, n= 8; female, n=22)<br />

between the ages from 18-25 years. All athletes competed at the national/international level, and a variety <strong>of</strong> <strong>sport</strong>s were represented.<br />

Collective analysis <strong>of</strong> the data was conducted using open, axial, and selective coding techniques. Interview data were interpreted to<br />

suggest that athletes are embedded in and affected by a social context that is comprised <strong>of</strong> a range <strong>of</strong> micro to macro spheres <strong>of</strong> influence.<br />

Athletes reflected on influences that were perceived to affect the normalization <strong>of</strong> their emotionally abusive experiences, including<br />

intra-relational, inter-relational, community, organisational, and cultural grooming factors. Based on the study findings an ecological<br />

grooming model is proposed. Comparisons are made with the sexual abuse literature, and recommendations are posed for prevention<br />

and future research.<br />

Brackenridge, C. & Fasting, K. (2005). The grooming process in <strong>sport</strong>: Narratives <strong>of</strong> sexual harassment and abuse. Auto/Biography, 13,<br />

33-52.<br />

Leberg, E. (1997). Understanding Child Molesters: Taking Charge. CA: Sage Publications.<br />

Stirling, A. & Kerr, G. (2007). Elite female swimmers’ experiences <strong>of</strong> emotional abuse across time. Journal <strong>of</strong> Emotional Abuse, 7, 4, 89-113.<br />

van Dam, C. (2001). Identifying Child Molesters: Preventing Child Sexual Abuse by Recognizing the Patterns <strong>of</strong> the Offender. NY: The Hawthorn<br />

Press.<br />

THE CONSTRUCTION AND EFFECTIVENESS OF OFFENSIVE PLAYS IN BASKETBALL BY USING SYSTEMATIC OBSERVA-<br />

TION<br />

FERNÁNDEZ, J., CAMERINO, O., ANGUERA, M.T., GIBERT, A., JONSSON, G.K.<br />

INEFC, LLLEIDA.<br />

Introduction: In the field <strong>of</strong> <strong>sport</strong>s research there is a growing need for the rigorous collection <strong>of</strong> data that provide empirical evidence<br />

about the complex reality they refer to. Key aspects in this regard include the presence <strong>of</strong> regularities that are not detectable through<br />

visual inference or traditional methods <strong>of</strong> data analysis, the lack <strong>of</strong> standard observation instruments and the priority need to develop<br />

powerful, computerized coding systems, all <strong>of</strong> which must form part <strong>of</strong> an approach that is suitable for natural and habitual contexts<br />

(Morris & Burwitz, 1989).<br />

Method: The observational methodology used had the rigor and flexibility needed to study the episodes and different configurations <strong>of</strong><br />

play just as they occurred. Ten ACB basketball games (First Spanish Division) were recorded and the instrument used was the Match<br />

Vision Studio s<strong>of</strong>tware (Perea, Alday & Castellano, 2004), which has enabled us to set up code and category <strong>of</strong> the situation space <strong>of</strong> the<br />

players in the two previous moves to the basket. The approach here concerns the way in which temporal patterns are able to reveal<br />

those aspects <strong>of</strong> social interaction that are not immediately observable, and considers that every interactive flow is governed by behavioural<br />

structures <strong>of</strong> varying stability that can be visualized by detecting hidden temporal patterns such as T-patterns. These temporal<br />

patterns can be detected by means <strong>of</strong> the powerful algorithm <strong>of</strong> the THEME s<strong>of</strong>tware, developed by Magnusson (1996).<br />

Results: A total <strong>of</strong> 3478 T-patterns were detected in the subset <strong>of</strong> games won. Given the temporal patterns detected and the results<br />

obtained in the lag sequential analysis we then turned our attention to those co-occurrences in which there was a disparity according to<br />

game performance.<br />

Discussion: The results show that it is possible to identify stable spatial structures that provide information about areas and positions <strong>of</strong><br />

players more effective in launching basket and an imbalance that provide more effective for completion and the type <strong>of</strong> termination <strong>of</strong><br />

attack that can be applied for the improvement <strong>of</strong> <strong>sport</strong>s training and initiation. The selection <strong>of</strong> the data has been grouped into different<br />

criteria.<br />

Key words: T- Patterns, microanalysis, team <strong>sport</strong>s, observation device, systematic observation.<br />

References<br />

Magnusson, M.S. (1996). Hidden real-time patterns in intra- and inter-individual behavior. European Journal <strong>of</strong> Psychological Assessment,<br />

12 (2), 112-123.<br />

Morris, A ; Burwitz,L (1989), Anticipation and movement strategies in elite soccer goalkeepers at penalty kicks (Anticipation et strategies de<br />

mouvement chez des gardiens de but de football d’ elite lors des penalties). L, Journal <strong>of</strong> Sports Sciences 1989: Vol. e Issue 1. p. 79-80<br />

Perea, A., Alday, L., & Castellano, J. (2004). S<strong>of</strong>tware para la observación deportiva Match Vision Studio. III Congreso Vasco del Deporte.<br />

Socialización y Deporte / Kirolaren III Euskal Biltzarra. Sozializazioa era Virola. Vitoria.<br />

COMPETENCIES OF FLEMISH JUDOCOACHES A AND B<br />

CAPLIN, A., DOM, E., ZINZEN, E.<br />

VRIJE UNIVERSITEIT BRUSSEL (VUB)<br />

Introduction: The European parliament has been approving the European Qualification Structure (EQS). This structure consists <strong>of</strong> competencies<br />

<strong>of</strong> all jobs, classified in numbered levels (OECD, 2005). A job, described in a qualification pr<strong>of</strong>ile, will give visible expectations and<br />

can be objectively evaluated. This study aims to determine the competencies <strong>of</strong> the judocoach and create a framework in which he/she<br />

works.<br />

Method: The Delphi method was used to personally interview Flemish qualified judo experts (in different rounds) to ensure that all coaching<br />

views/opinions were recorded and that finally a consensus could be reached (Linstone and Tur<strong>of</strong>f, 2002).<br />

In the first round the core tasks were determined with their associated “knowledge”, “skills” and “attitudes”. In the second round, all listed<br />

items were located by the experts in a particular (Flemish) trainer level. From their, in the final round, the competencies (combination <strong>of</strong><br />

OSLO/NORWAY, JUNE 24-27, 2009 309

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