Medium4 marksExtended Response

AQA GCSE · Question 06 · Socio-cultural Influences and Well-being in Physical Activity and Sport

Data is used in sport to improve performance and can be collected in a variety of ways.

Outline the difference between quantitative and qualitative data collection.

Use examples in your answer.

How to approach this question

First, define quantitative data and provide a sporting example. Second, define qualitative data and provide a sporting example. Ensure your definitions highlight the key difference: one is numerical/objective, the other is descriptive/subjective.

Full Answer

Quantitative data is numerical data that deals with quantities, numbers, and facts. It can be measured objectively. An example in sport is a sprinter's 100m time, such as 11.2 seconds, or the number of goals a footballer scores in a season. Qualitative data is descriptive data that deals with opinions, feelings, and thoughts. It is subjective and provides insight into 'why' something is happening. An example in sport is a gymnast's feedback to their coach about how a routine 'felt', or a spectator's opinion on a team's performance.
In sports analysis, both types of data are valuable. Quantitative data provides objective, measurable facts (e.g., heart rate, lactate levels, split times, jump height). This data is easy to graph and compare. Qualitative data provides context and understanding of the performer's experience (e.g., interviews with athletes, coach's observations, analysis of feelings like confidence or anxiety). It helps to understand the reasons behind the quantitative results.

Common mistakes

Mixing up the definitions or providing examples that don't clearly fit one category. For example, saying 'a good performance' is not a good example of qualitative data; a better example would be 'the player felt confident and in control'.

Practice the full AQA GCSE Physical Education Paper 2

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