Objective and subjective.

The idea

Objective and subjective describe two broad types of data used when preparing for and monitoring training. Objective data are measurable and independent of personal opinion, such as a heart rate of 60 beats per minute, a vertical jump of 45 cm or a timed 30 m sprint of 4.2 s. Subjective data rely on the performer's own feelings or judgements, such as a rating of perceived exertion of 7 out of 10, a self-reported sleep-quality score or a coach's observation that a lift looked laboured. Both can inform decisions about intensity, recovery and programme adjustment. Objective measures are repeatable and comparable over time, while subjective measures capture context that instruments may miss. Neither type is automatically superior; the choice depends on what is being monitored and the resources available.

What earns the marks

• Objective data are measurable, factual and independent of personal opinion, for example a heart rate reading or a timed sprint.
• Subjective data are based on personal feelings, perceptions or judgements, for example a rating of perceived exertion or a coach's observation.
• Objective measures tend to be repeatable and comparable across sessions, which supports tracking change over time.
• Subjective measures can capture information that objective instruments miss, such as fatigue, motivation or perceived effort.
• Neither type is automatically better; the appropriate type depends on what is being monitored and the context of the programme.

Common mistakes and how to put them right

• Assuming objective data are always better than subjective data.

  Put it right: Each type has strengths, and subjective measures can reveal fatigue or motivation that instruments miss.

• Treating a coach's observation as objective because it comes from an adult.

  Put it right: A coach's judgement is still a personal perception, so it is subjective.

• Believing subjective data cannot be used in serious training.

  Put it right: Ratings of perceived exertion and wellness scores are widely used to guide intensity and recovery.

• Confusing the terms with quantitative and qualitative generally.

  Put it right: In this context the distinction is whether the measure depends on personal opinion, not simply whether it is numerical.

Exam tips

• Define both terms before applying them, so the examiner can see the distinction clearly.
• Use a specific sporting example for each type, such as a heart-rate reading for objective and a rating of perceived exertion for subjective.
• When a question asks which type is more useful, justify your choice by referring to the purpose of the monitoring rather than stating a general preference.