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Applied Notational Analysis

  • Module code: LS6021
  • Year: 2017/8
  • Level: 6
  • Credits: 30
  • Pre-requisites: LS5015
  • Co-requisites: None

Summary

This module lies within the field of Sport and Exercise Science. It is a core module for students on the Sport Analysis and Coaching degree and an optional module for students on the Sport Science degree. The module develops skills gained at level five in LS5015 Analysis in Sport and Exercise and further enhances the role of notational analysis within sport. The module sees a much greater emphasis placed on the applied application on notational analysis and how this supports the coaching cycle within a variety of sports. Students are required to conduct computerised notational investigations to gain insight into performance.

Aims

  • To provide an applied application of notational analysis and how the results can enhance the coaching process.
  • To examine current trends within the applied world of how notational analysis is being used to develop athletic performance.
  • To critically analyse current research in notational analysis to enhance the field of performance analysis and its application.
  • To examine specific statistical processes that allow for meaningfulness of data to be studied and application of data to research within notational analysis.

Learning outcomes

On successful completion of the module, students will be able to:

  • To provide an applied application of notational analysis and how the results can enhance the coaching process.
  • To examine current trends within the applied world of how notational analysis is being used to develop athletic performance.
  • To critically analyse current research in notational analysis to enhance the field of performance analysis and its application.
  • To examine specific statistical processes that allow for meaningfulness of data to be studied and application of data to research within notational analysis.

Curriculum content

  • The rationale and themes within notational analysis to allow for the development of clear, academically driven research and research understanding.
  • Analysis and interpretation of sports performance notation data.  With clear knowledge being demonstrated regarding normative profiling, and its importance; parametric and non-parametric statistical analysis of results.
  • Methods of reliability measures used within notational research and examine their functions and applicability to data sets.
  • Methods of manual and automated notational systems.  Examining current technological developments and their impact upon future research and applied analysis of sport.
  • Gross sports statistical measures used by the media.  Examine aspects of hyper-realism within sport reporting and the function of the data supplied by media outlets.  Examine issues surrounding the true objectivity of data in the media.
  • The most effective methods of reporting data from a variety of sources to allow for quick and effective understanding of analysis by academics, coaches and athletes.

Teaching and learning strategy

Topics will be delivered through lectures which will incorporate an element of self-driven learning and discussion.  Students will also participate in peer-peer learning where groups will be asked to review a research area and feedback the information to the rest of the group.  Practical sessions will develop the students' understanding of the notational systems in place that are needed to conduct part of the assessment.  Practicals will be delivered in smaller groups to allow all students to have a "hands-on" experience with the computerised systems to enhance learning (formative feedback).  Modules of data analysis will also be put in place during the practical session to check for analyst accuracy.  Summative feedback will be given for the practical assessment through written feedback and discussion with the module leader.  Guest speakers will also be invited to deliver specific session on the module relating the theory and content to the applied world.

Breakdown of Teaching and Learning Hours

Definitive UNISTATS Category Indicative Description Hours
Scheduled learning and teaching Lecture (30h) Practical (30h) Seminar (10h) 70
Guided independent study 230
Study abroad / placement n/a n/a
Total (number of credits x 10) 300

Assessment strategy

The module will be assessed via written coursework (80%) and practical examination (20%). 

The module assessment is conducted at two time points:

Assignment one will consist of designing and conducting a computerised notational analysis, reporting the findings using either an edited DVD or notational software via an individual viva with an accompanying summary document.  The assignment carries marks for written coursework (60% - 30% of module mark) and practical assessment (40% - 20% of module mark).

Assignment two is an essay (maximum of 2,500 words) relating to a current issue, trend or theme in notational analysis. 

Formative feedback will be supplied throughout each practical session to enhance the learning of the systems and during seminar sessions where learning can be assessed through discussions and debate.

Mapping of Learning Outcomes to Assessment Strategy (Indicative)

Learning Outcome Assessment Strategy
1) Discuss the role of notational analysis in the coaching process, alongside current trends within the field. DVD/Software Report (S) Essay (S); Group Discussions (F)
2) Develop computerised notational systems for sport analysis. DVD/Software Report (S); Practical Sessions (F)
3) Explain and describe computerised data collection systems in notational analysis and critically evaluate their application. Essay (S); Group Discussions (F)
4) Critically evaluate the research area and understand the current developments within notational analysis research Essay (S); Group Discussions (F)
5) Demonstrate a sound understanding of the statistical measures and their application in notational research. DVD/Software Report (S); Statistical Based Practical Session (F)
6) Demonstrate the key skills of communication (group discussions, reading, selecting, extracting and collating information from appropriate sources, make a presentation, produce written materials), numeric skills (collect primary and secondary data, design a suitable recording format for data collection, evaluation numerical data, perform basic calculations on amount and sizes, scales and proportions, using statistics where appropriate, ICT (search for, retrieve and store information using ICT resources and, develop independent learning skills DVD/Software Report (S); Practical Sessions (F)

Elements of Assessment

Description of Assessment Definitive UNISTATS Categories Percentage
Individual Viva Practical Exam 20%
Analysis Report Coursework 30%
Essay Coursework 50%
Total (to equal 100%) 100%

Achieving a pass

It IS NOT a requirement that any major element of assessment is passed separately in order to achieve an overall pass for the module.

Bibliography core texts

Carling, C., Williams, M. & Reilly, T. (2005). Handbook of soccer match analysis : a systematic approach to improving performance.London: Routledge.

Hughes, M. and Franks, I. (2003) Notational analysis of sport: systems for better coaching and performance.  London:Routledge.

Hughes, M. (ed) Notational Analysis of Sport I & 11. Cardiff: University of Wales Institute, Cardiff.

Lees, A., Kahn, J.F. and Maynard, I.W. (eds) (2004) Science and Racket Sports /11. New York: Routledge

Bibliography recommended reading

Morrow, J. R., Jackson, A. W., Disch, J. G., & Mood, D. P. (2000). Measurement and Evaluation in Human Performance (2nd ed.). Human   Kinetics.

Reilly, T. (1992) Strategic directions for sports science research in the United Kingdom. London : Sports Council,

Reilly, T. (ed.) (1996) Science and Soccer. London: E. & F.N. Spon.

T. Reilly, T., J. Bangsbo, J. and  Hughes, M. (eds.) (1997).Science and football III : London : Spon, 1997

Reilly, T., J. Clarys, J. and Stibbe, A. (eds.) (1993). Science and Football II. London: E. & F.N. Spon.

Reilly,T. and Williams M. (eds.) (2003). - Science and Soccer. (2nd Edition).  London: Routledge.

Thomas, J. and Nelson, J. (2005). Research Methods in Physical Activity (5th Edition) Champaign IL: Human Kinetics.

Williams, A.M. & Reilly, T.(2006) Handbook of Soccer Match Analysis: A systematic approach to improving performance. London: Routledge

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