CCEA A-Level Health and Social Care 0003
Promoting Quality Care
Communication in Health, Social Care and Early Years Settings
Health and Well-Being
Safeguarding Children
Adult Service Users
Holistic Therapies
Understanding the Physiology of Health and Illness
Applied Research
Body Systems and Physiological Disorders
Providing Services
Public Health and Health Promotion
Supporting the Family
Understanding Human Behaviour
Human Nutrition and Health
Applied Research
Sampling techniques and representativeness
- 3 things to know
- A2 1
Overview
Target population in a piece of research, term sample and sampling frame.
What you need to know
Answer each one before you reveal it.
Define the target population in a piece of research.
Define the term sample.
Questions from this subtopic
Each one with the model answer underneath.
- 1
Define the target population in a piece of research.
Model answer
The target population is the whole group the researcher wants the findings to apply to.
- 2
Define the term sample.
Model answer
A sample is the smaller group of participants actually drawn from the target population and studied.
- 3
What is a sampling frame?
Model answer
A sampling frame is the list of everyone in the target population from which a sample can be drawn.
- 4
Explain random sampling.
Model answer
Random sampling gives every member of the sampling frame an equal chance of selection, usually by drawing names or numbers at random.
- 5
Give one strength and one weakness of random sampling.
Model answer
Random sampling removes the researcher's own choice and so avoids selection bias, but it needs a complete list of the population, which rarely exists.
- 6
Explain stratified sampling.
Model answer
Stratified sampling divides the population into layers such as age bands and then selects randomly within each layer in proportion to its share of the population.
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