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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

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 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.