Int 2 pe
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Int 2 PE. Preparation of the Body Lecture 2 – Data Collection. Data Collection. It is vital that before we start a programme of improvement, that we measure our initial levels of fitness We can measure our fitness in a number of different ways Observation Schedules Standardised tests

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Int 2 PE

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Int 2 pe

Int 2 PE

Preparation of the Body

Lecture 2 – Data Collection


Data collection

Data Collection

  • It is vital that before we start a programme of improvement, that we measure our initial levels of fitness

  • We can measure our fitness in a number of different ways

    • Observation Schedules

    • Standardised tests

    • Training diaries

    • Knowledge of results


Types of data

Types of Data

  • We are going to focus on

    • Observation schedules to collect our INITIAL DATA

    • Standardised Tests to collect our FOCUSED DATA


Data collection1

Data Collection

  • Observation schedules are useful tools for assessing fitness levels as:

    • They provide us with information about our performance related fitness (within a game environment – a match analysis)

    • They are flexible – you build in to your observation schedule the variables you want to measure

    • NOTE OF CAUTION!!! – These do not provide definitive answers : Be careful not to come to the wrong conclusions!


Data collection2

Data Collection

  • Try to analyse this observation schedule

    • What does it show about the players cardio-respiratory endurance?

    • When in the game does the players performance “drop-off”?

    • What was the second half performance like compared to the first?

      The key is x=unsuccessfull

      /= successfull


Data collection3

Data Collection


Data collection4

Data Collection

  • Note – this observation schedule was designed to show the “drop off” or deterioration of skills which result from the on-set of fatigue

    “If the player lacks cardio-respiratory endurance I would expect his skills to deteriorate quicker. As he improves his cardio-respiratory endurance I would expect him to last longer and be able to perform the skills more consistently throughout the match”


Data collection5

Data Collection

  • Observation schedules are most accurately completed when you use a video camera. This allows you to:

    • Watch the performance over and over again

    • Stop/start the video when you want

    • Slow/speed up the action

    • MOST IMPORTANTLY – Ensures the data you have collected is accurate!


Data collection6

Data Collection

  • After coming to the conclusion that there is a problem with one aspect of fitness, we need to get more FOCUSED DATA

  • We can do this by using STANDARDISED TESTS


Data collection7

Data Collection

  • Standardised tests allow us to measure our fitness levels in a controlled fashion

  • We can also use them to compare our result to what is the ‘norm’ for our age group/performance level

  • Standardised test are also very useful as they allow us to complete the test over and over(under the same conditions) to monitor improvements/deterioration of performance


Data collection8

Data Collection

  • How many different standardised tests can you name and what do they measure?

    i.e. Sit and reach test - flexibility


Data collection9

Data Collection

  • If I did an 8 week training programme for cardio-respiratory endurance, how many tests would I do?

  • Who would complete the tests?

  • How do we ensure all the tests are the same/all the data is valid?


Data collection10

Data Collection

  • Answer – 5!!

    • 1 To collect my initial data (observation schedule)

    • 1 to collect my focused data (Standardised test)

    • 1 after 4 weeks of my programme to see if their has been any improvement (repeat of standardised test)

    • 1 at the end of 8 weeks to measure improvements at the end of the programme (repeat of standardised test)

    • 1 more observation schedule to see if improved cardio-respiratory endurance has impacted on my overall performance.


Data collection11

Data Collection

  • The same person who monitored the tests in the first instance would monitor the rest – to ensure consistency

  • Standardised tests help ensure validity of data – tests always done under the same conditions with the same variables.


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