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Essentials of Performance Analysis: An Introduction [Kõva köide]

(Cardiff Metropolitan University, UK), (University of British Columbia, Canada)
  • Formaat: Hardback, 344 pages, kõrgus x laius: 234x156 mm, kaal: 642 g, 79 Line drawings, black and white; 6 Halftones, black and white; 39 Tables, black and white
  • Ilmumisaeg: 10-Dec-2007
  • Kirjastus: Routledge
  • ISBN-10: 0415423791
  • ISBN-13: 9780415423793
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  • Formaat: Hardback, 344 pages, kõrgus x laius: 234x156 mm, kaal: 642 g, 79 Line drawings, black and white; 6 Halftones, black and white; 39 Tables, black and white
  • Ilmumisaeg: 10-Dec-2007
  • Kirjastus: Routledge
  • ISBN-10: 0415423791
  • ISBN-13: 9780415423793
Teised raamatud teemal:
What is performance analysis and how does its use benefit sports performance?



How can you use performance analysis in your sport?



The Essentials of Performance Analysis answers your questions, providing a complete guide to the foundational elements of match and performance analysis for new students and beginners.



As well as a basic introduction to the sport science and theory that underlies performance analysis, the book contains many practical examples to show performance analysis in its applied context. It includes discussion of:









approaches to analyzing sport performance the use of feedback technologies the use of video and biomechanical analysis interpreting data coaching with notational analysis.

















The Essentials of Performance Analysis is a straightforward, concise and authoritative guide for students of sport science and sports coaching, as well as for coaches and athletes looking to develop their insight into sports performance analysis.
Notes on contributors xiii
Preface xxi
Introduction xxii
Acknowledgements xxxii
1 THE NEED FOR FEEDBACK
1
Dana Maslovat and Ian M. Franks
1.1 Introduction: feedback
1
1.2 The coaching process and its problems
3
1.3 The need for objective information
4
2 WHAT IS PERFORMANCE ANALYSIS?
8
Mike Hughes and Roger Bartlett
2.1 Introduction
8
2.2 Notational analysis
9
2.2.1 Introduction
9
2.2.2 The applications of notation
11
2.2.2.1 Tactical evaluation
11
2.2.2.2 Technical evaluation
12
2.2.2.3 Movement analysis
13
2.2.2.4 Development of a database and modelling
14
2.2.2.5 Educational applications
15
2.3 Biomechanics — what is the biomechanical view of performance analysis?
15
3 THE PROVISION OF INFORMATION
21
Nicola J. Hodges and Ian M. Franks
3.1 Introduction
21
3.2 Augmented feedback
23
3.2.1 Positive effects
23
3.2.2 Negative effects
24
3.2.3 Additional factors to consider when providing feedback
27
3.3 Demonstrations and instructions
28
3.3.1 Positive effects
28
3.3.1.1 Providing a reference-of-correctness
28
3.3.1.2 Effective demonstrations
29
3.3.1.3 Conveying a strategy
30
3.3.1.4 Comparing pre-practice methods
30
3.3.2 Negative effects
31
3.3.2.1 Movement strategies
31
3.3.2.2 Searching for the critical information
32
3.3.2.3 Attentional focus
34
3.3.2.4 Implicit learning/re-investment
35
3.3.3 Overview of instructions and demonstrations
37
3.4 Conclusions
37
4 VIDEO FEEDBACK AND INFORMATION TECHNOLOGIES
40
Dario G. Liebermann and Ian M. Franks
4.1 Introduction
40
4.2 Extrinsic and intrinsic feedback in sports
41
4.3 Visual feedback, video and motor learning
42
4.4 Qualitative feedback and quantification of performance using video-based technologies
44
4.5 Quantitative feedback derived from complex simulations
46
4.6 Watching versus performing movements in three-dimensions: virtual and real environments
47
4.7 Video technology and temporal feedback
48
4.8 Immediacy as a pre-requisite for the effective use of feedback during skill acquisition
49
5 AN OVERVIEW OF THE DEVELOPMENT OF NOTATIONAL ANALYSIS
51
Mike Hughes
5.1 Introduction
51
5.2 The development of sport-specific notation systems (hand notation)
53
5.3 Introduction to computerized notational analysis
58
5.4 Some research using computer systems
60
5.5 Modelling
65
5.5.1 Empirical models
66
5.5.2 Dynamic systems
67
5.5.2.1 Critical incident technique
68
5.5.3 Statistical techniques
71
5.5.4 Artificial Intelligence
74
5.6 Current areas of research and support
74
5.7 Research into the methodology and theory of notational analysis
79
5.8 The future of notational analysis
81
6 SPORTS ANALYSIS
85
Mike Hughes
6.1 Introduction
85
6.2 Creating flowcharts
86
6.3 Levels of analysis – the team, subsidiary units and individuals
92
7 HOW DO WE DESIGN SIMPLE SYSTEMS? HOW TO DEVELOP A NOTATION SYSTEM
98
Mike Hughes
7.1 Introduction
98
7.2 Data collection systems
98
7.2.1 Scatter diagrams
98
7.2.2 Frequency tables
101
7.2.3 Sequential data systems
103
7.3 Data collection systems in general
108
8 EXAMPLES OF NOTATION SYSTEMS
111
Mike Hughes
8.1 Introduction
111
8.2 Individual sports
111
8.2.1 A notation system for tennis
111
8.2.1.1 Description of point
113
8.2.1.2 Results
116
8.2.1.3 Summary of results
117
8.2.1.4 Discussion and conclusions
117
8.2.2 A notation system for boxing
117
8.2.2.1 Collated data and results
121
8.2.2.2 Conclusions
123
8.3 Team sports
124
8.3.1 A notation system for basketball
124
8.3.1.1 Conclusion and discussion
126
8.3.2 A notation system for soccer
127
8.3.2.1 Method
127
8.3.2.2 Results
128
8.3.2.3 Analysis
128
8.3.2.4 Discussion
132
8.3.2.5 Adjustments to the system
133
8.3.3 A notation system for netball
134
8.3.3.1 Method
135
8.3.3.2 Notation symbols
135
8.3.3.3 The record sheet
137
8.3.3.4 Recording a sequence
137
8.3.3.5 Results
137
8.3.4 A motion analysis of work-rate in different positional roles in field hockey
140
8.3.4.1 Aim
140
8.3.4.2 Hypothesis
140
8.3.4.3 Devising the method
140
8.3.4.4 Pilot study
141
8.3.4.5 Finalized method
141
8.3.4.6 Limitations
143
8.3.4.7 Operational definitions
143
8.3.4.8 Reliability
143
8.3.4.9 Results
145
8.3.4.10 Application
149
8.3.4.11 Conclusion
149
8.3.4.12 Recommendations for further research
149
9 ANALYSIS OF NOTATION DATA: RELIABILITY
150
Mike Hughes
9.1 Introduction
150
9.2 The nature of the data; the depth of analysis
151
9.2.1 Sample data
151
9.2.2 The sequential nature of data
152
9.3 Consistency of percentage difference calculations
153
9.4 Processing data
154
9.5 Visual interpretation of the data (a modified Bland and Altman plot)
156
9.5.1 Sample data
157
10 QUALITATIVE BIOMECHANICAL ANALYSIS OF TECHNIQUE 162
Adrian Lees
10.1 Introduction
162
10.2 The phase analysis model and movement principles
164
10.2.1 The phase analysis model
164
10.2.2 Movement principles
166
10.2.2.1 Speed (S) principles
167
10.2.2.2 Force (F) principles
168
10.2.2.3 Coordination (C) principles
170
10.2.2.4 Specific performance (P) principles
172
10.3 An application of the phase analysis model and movement principles
172
10.4 The performance outcome model
176
10.5 An application of the Hay and Reid performance outcome model
177
11 TIME-MOTION ANALYSIS 180
Peter G. O'Donoghue
11.1 Introduction
180
11.2 Time–motion analysis of running events
182
11.3 Time–motion analysis of racket sports
185
11.4 Team games
191
11.5 The Bloomfield movement classification
201
12 PROBABILITY ANALYSIS OF NOTATED EVENTS IN SPORT CONTESTS: SKILL AND CHANCE 206
Tim McGarry
12.1 Introduction
206
12.1.1 Sports contests
206
12.1.2 Skill and chance
207
12.1.3 Probability: stationarity and independence
207
12.1.4 Taking a random walk in a field of probabilities
208
12.2 Taking a random walk in sports contests: investigation of scoring structure
210
12.3 Taking a random walk in sports contests: investigation of behaviours (shots) and outcomes in squash contests
213
12.3.1 Stochastic processes, shot selections and outcomes in squash contests
213
12.3.2 Computer simulation
220
12.3.3 Identification of optimal decision-making strategies
220
12.3.4 Interactions between the winner–error profiles
221
12.3.5 Interactions between shot–response profiles
223
13 RULE CHANGES IN SPORT AND THE ROLE OF NOTATION 226
Jason Williams
13.1 Introduction
226
13.2 Safety
228
13.3 Natural development and progression
231
13.4 Entertainment, commercialization and the media
234
13.5 The role of notational analysis in tracking the effect of rules changes
238
13.6 Conclusion
241
14 PERFORMANCE ANALYSIS IN THE MEDIA 243
Nic James
14.1 Introduction
243
14.2 Classifying games
244
14.3 Invasion games
245
14.3.1 Soccer
245
14.3.2 Rugby union
249
14.3.3 Basketball
250
14.4 Net and wall games
253
14.5 Striking and fielding games
256
14.5.1 Golf
257
14.5.2 Cricket
259
15 NOTATIONAL ANALYSIS OF COACHING BEHAVIOUR 264
Kenny More
15.1 Introduction: the coaching process
264
15.2 Notational analysis of coaching behaviour
265
15.2.1 Effective coaching
265
15.2.2 Teaching and coaching behaviour – a historical perspective
266
15.2.3 Systematic observation
267
15.2.4 Systematic observation instruments
267
15.3 Effective coaching behaviours
270
15.3.1 Understanding the data
270
15.3.2 Should comments be skill- or non-skill related?
271
15.3.3 The focus of skill-related comments
272
15.3.4 The timing of skill-related comments
273
15.3.5 The delivery of skill-related comments
273
15.3.6 The emphasis of skill-related comments
274
15.3.7 The case for non-skill-related comments
274
15.4 Modification of coaching behaviour
274
Bibliography 277
Glossary of terms 300
Index 302


Mike Hughes is Professor and Head of the Centre for Performance Analysis and Course Director of the Masters in Performance Analysis at the University of Wales Institute, Cardiff.









Ian Franks is Professor and Director of the Motor Control and Learning Laboratory, University of British Columbia, Canada.