Statistical sampling - Topic 1 Flashcards
Understand and use the terms 'population' and 'sample', use samples to make informal inferences, understand sampling techniques and critique techniques
Year 1 - Chapter 1
Simple Random
A simple random size of n is one where every sample of size n has an equal chance of being selected
Year 1 - Chapter 1
Advantages and disadvantages of simple random
Advantages:
- Free of bias
- Easy and cheap to implement for small populations and and small samples
- Each sampling unit has a known and equal chance of selection
Disadvantages:
- Not suitable when the population size or the sample size is large as it is potenitally time consuming, disruptive and expensive
- A sampling frame is needed
Year 1 - Chapter 1
Systematic sampling
The required elements are chosen at regular intervals from an ordered list
Year 1 - Chapter 1
Advantages and disadvantages of systematic sampling
Advantages:
- Simple and quick to use
- Suitable for large samples and large populations
Disadvantages:
- A sampling frame is needed
- It can introduce bias if the sampling frame is not random
Year 1 - Chapter 1
Stratified sampling
The population is divided into mutually exclusive strata and a random sample is taken from each
Advantages and disadvantages of stratified sampling
Advantages:
- Sample accurately reflects the population structure
- Guarantees proportional representation of groups within a population
Disadvantages:
- Population must be clearly classified into distinct strata
- Selection within each stratum suffers from the same disadvantages as simple random sampling
Year 1 - Chapter 1
Quota sampling
An interviewer or researcher selected a sample that reflects the characteristics of the whole population
Year 1 - Chapter 1
Advantages and disadvantages of quota sampling
Advantages:
- Allows a small sample to still be representative of the population
- No sampling frame required
- Quick, easy and inexpensive
- Allows for easy comparison between different groups within a population
Disadvantages:
- Non-random sampling can introduce bias
- Population must be divided intro groups, which can be costly or inaccurate
- Increasing scope of study increases number of groups, which adds time and expenses
- Non-responses are not recorded as such
Year 1 - Chapter 1
Opportunity sampling
Consists of taking the sample from people who are available at the time the study is carried out and who fit the criteria you are looking for
Year 1 - Chapter 1
Advantages and disadvantages of opportunity sampling
Advantages:
- Easy to carry out
- Inexpensive
Disadvantages:
- Unlikely to provide a representative sample
- Highly dependent on individual researcher