How do you match a data-collection method to each different factor affecting performance?
Matching appropriate data-collection methods to each of the four factors, including questionnaires and self-reflection for mental and emotional factors, observation schedules and peer or coach feedback for social and skill factors, and standardised tests and movement analysis for physical factors, and the difference between qualitative and quantitative data.
An SQA National 5 Physical Education answer on choosing the right data-collection method for each factor, covering questionnaires and self-reflection for mental and emotional factors, observation and feedback for social and skill factors, standardised tests and movement analysis for physical factors, and qualitative versus quantitative data.
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What this dot point is asking
Different factors need different tools. The SQA wants you to match an appropriate data-collection method to each of the four factors, and to know the difference between qualitative and quantitative data. Mental and emotional factors are best captured by questionnaires and self-reflection; social and skill factors by observation schedules and peer or coach feedback; physical fitness factors by standardised tests; and skills by movement analysis.
Matching a method to each factor
Each factor has methods that suit how visible or hidden it is.
- Mental (for example concentration, decision-making). A questionnaire rating each feature out of ten, or honest self-reflection straight after the game, captures how you thought and focused.
- Emotional (for example confidence, anxiety). A questionnaire or reflective diary records how you felt at key moments, which an observer could not know for certain.
- Social (for example communication, co-operation). A coach or peer watches and notes how often you called for the ball, supported teammates or fulfilled your role.
- Physical fitness (for example CRE, strength). A standardised test gives an objective, comparable score against norm tables.
- Skills and techniques (for example a serve). Movement analysis from video breaks the skill into preparation, action and recovery, judging each sub-routine.
Qualitative and quantitative data
The data you gather comes in two forms, and the best plan uses both.
- Quantitative. A bleep-test level or "8 of 12 shots on target" makes before-and-after comparison simple and objective.
- Qualitative. "I felt anxious serving on break point and my arm tensed up" explains the why behind the numbers.
Using both gives a fuller, more reliable picture: the numbers show what happened, the descriptions show why.
Examples in context
Example 1. Profiling wheel for mental factors. A pupil rates concentration, decision-making, problem-solving and mental toughness out of ten on a performance profiling wheel. Low scores for concentration and decision-making pinpoint the mental weaknesses to work on.
Example 2. Movement analysis of a skill. A badminton player films their overhead clear and analyses the preparation, action and recovery phases. The analysis shows the racquet is taken back too low, explaining the weak, short shot.
Try this
Q1. Name a suitable method for collecting data on an emotional factor. [1 mark]
- Cue. A questionnaire or a reflective diary or self-reflection (capturing how the performer felt).
Q2. Give one example of quantitative data from a performance. [1 mark]
- Cue. Any number, such as a fitness-test level or the percentage of passes completed.
Exam-style practice questions
Practice questions written in the style of SQA exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.
SQA N5 style4 marksDescribe a suitable method of collecting data for a mental factor and a suitable method for a physical factor.Show worked answer →
A 4-mark describe answer needs one method matched to a mental factor and one matched to a physical factor, each described, with two marks per method.
Mental factor. To collect data on concentration, use a questionnaire such as a performance profiling wheel, rating features out of ten, or self-reflection straight after a game while it is fresh. This captures how focused you felt during the performance.
Physical factor. To collect data on cardio-respiratory endurance, use a recognised standardised test such as the multi-stage fitness test and compare your level against norm tables.
Markers reward each method correctly matched to its factor and described (1) plus a clear sense of what it measures (1), up to four marks.
SQA N5 style2 marksExplain the difference between qualitative and quantitative data.Show worked answer →
This explain question needs both terms defined and contrasted.
Quantitative data is numerical, such as a fitness-test score or the number of passes completed, so it is easy to compare and re-test.
Qualitative data describes quality, such as how confident a performer felt or comments from a coach, so it gives detail and depth that numbers alone miss.
Markers reward a correct meaning of each, with the contrast between numbers and descriptive quality, to a total of two marks.
Related dot points
- Methods of collecting information on factors impacting on performance, including why data is gathered (the cycle of analysis), general and specific observation schedules, the use of recognised standardised fitness tests, and gathering both initial (baseline) and ongoing data.
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- Emotional factors that impact on performance, including happiness and sadness (affecting confidence, self-belief, resilience and optimism), anger (affecting self-control and decision-making), fear and trust, and how managing emotions can have a positive or negative effect.
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- Social factors that impact on performance, including communication, co-operation, roles and responsibilities within a team, etiquette and respect for rules, relationships and team dynamics, and inclusion, and how each can have a positive or negative effect.
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An SQA National 5 Physical Education answer on the skills and tactics parts of the physical factor, covering the quality of skills and techniques (accuracy, consistency, control and fluency, repertoire) and tactics and composition (width, depth, support, penetration, strengths and weaknesses), and how each helps or hinders a performance.