Sampling

Question 1

Convenience sampling

Answer 1

Simply available to the researcher by virtue of accessibility

Question 2

Snowball sampling

Answer 2

Researcher makes contact with a small group who are relevant to the topic then use them to find more potential participants

Question 3

Quota sampling

Answer 3

Like stratified attempts to represent the target population but more general

Question 4

Advantages

Answer 4

Flexible, less costly, less time consuming

Question 5

Disadvantages

Answer 5

Greater risk of bias, may not be possible to generalise and target a whole population, no way to assess precision or realiability

Question 6

Probability sampling

Answer 6

Random and representative samples that allow generalisation of findings to a larger populations

Question 7

Non probability sampling

Answer 7

Not conducted according to the rules of probability sampling. Convenience, snowballing, quota

Question 8

Self selecting sample

Answer 8

Participants volunteer-knowingly/unknowingly

Question 9

Sampling bias

Answer 9

A sample contains an over representation of s particular category

Question 10

Sampling error

Answer 10

Does the sample accurately represent the population?

Question 11

Systematic sampling

Answer 11

Every nth person

Question 12

Stratified sampling

Answer 12

Use a sample to represent the overall population

Question 13

Purposive sampling

Answer 13

Focused to certain people

Question 14

Critical case sampling

Answer 14

Rare occurrences provide insight to conditions that can’t be created