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Notational analysis

Notational analysis is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Notational analysis rather than just read about it. In short: In professional sports, notational analysis is the study of movement patterns, strategy and tactics in team sports. Successful patterns of play can be identified and used in subsequent matches.

Key takeaways

  • Notational analysis belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Notational analysis to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Notational analysis from memory before moving on to harder problems.

Reference excerpt

In professional sports, notational analysis is the study of movement patterns, strategy and tactics in team sports. Successful patterns of play can be identified and used in subsequent matches. Notational analysis has a history in dance and music notation. Notational analysis is a way that critical events in a performance can be quantified in a consistent and reliable manner. In notational analysis, no change in performance of any kind will take place without feedback. The role of feedback is central in the performance improvement process, and by inference, so is the need for accuracy and precision of such feedback. The provision of this accurate and precise feedback can only be facilitated if performance and practice is subjected to a vigorous process of analysis.

Subjective observation Augmented feedback has traditionally been provided by subjective observations, made during performance by the coaches, in the belief that they can accurately report on the critical elements of performance without any observation aids. Several studies not only contradict this belief, but also suggest that the recall abilities of experienced coaches are little better than those of novices, and that even with observational training, coaches' recall abilities improved only slightly. Furthermore, research in applied psychology has suggested that these recall abilities are also influenced by factors that include the observer's motives and beliefs. The coach is not a passive perceiver of information, and as such his or her perception of events is selective and constructive, not simply a copying process. This importance of feedback to performance improvement, and the limitations of coaches' recall abilities alluded to above, implies a requirement for objective data upon which to base augmented feedback, and the main methods of "objectifying" this data involve the use of video / notational analysis (Hughes and Franks, 1997 p. 11).

History of data gathering in sports Coaches have been aware, consciously or unconsciously, of these needs for accuracy of feedback and have been using simple data gathering systems for decades. More recently, sports scientists have been using notational analysis systems to answer fundamental questions about game play and performance in sport. An early work, over some decades, on analysis of soccer was picked up by the then Director of Coaching at the Football Association in the United Kingdom. This had a profound effect on the patterns of play in British football – the adoption of the 'long ball' game. Generally, the first publications in Britain of the research process by notational analysis of sport were in the mid-1970s, so as a discipline it is one of the more recent to be embraced by sports science. The publication of a number of notation systems in racket sports provided a fund of ideas used by other analysts. Because of the growth and development of sports science as an academic discipline, a number of scientists began using and extending the simple hand notation techniques that had served for decades. This also coincided with the introduction of personal computers, which transformed all aspects of data gathering in sports science. Currently hand and computerized notation systems are both used to equal extents by working analysts, although the use of computer databases to collate hand notated data post-event makes the analyses much more powerful. The applications of notation have been defined as:

tactical evaluation, technical evaluation, analysis of movement, development of a database and modelling, and for educational use with both coaches and players. Most pieces of research using notation, or indeed any practical applications working directly with coaches and athletes, will span more than one of these purposes.

The applications of notation

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Notational analysis

Start with the simplest possible case. Write down what Notational analysis claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Notational analysis before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Notational analysis ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Notational analysis

In research
Notational analysis appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Notational analysis in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Notational analysis is common in secondary-school and first-year university syllabi. It links to neighbouring topics Sports science, so understanding it makes those chapters shorter.
In everyday life
Look for Notational analysis outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Notational analysis in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Notational analysis means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Notational analysis out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Notational analysis in simple terms?

In professional sports, notational analysis is the study of movement patterns, strategy and tactics in team sports. Successful patterns of play can be identified and used in subsequent matches.

Why does Notational analysis matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Notational analysis?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Notational analysis.

Tags

  • Sports science

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