Sampling

Question 1

Random sampling

Answer 1

Definition- Everybody in the research population has a chance to be involved as the individuals are selected randomly e.g picking names out of a hat

Strength-Sample should be REPRESENTATIVE of target population as all participants are selected by chance

Weakness- Need to have a list of all members and contact all those selected which takes time

Question 2

Systematic sampling

Answer 2

Definition- Listing all potential participants then selecting every Nth person until reaching desired sample size

Strength- unbiased as participants are selected using an objective system leading to a representative sample

Weakness- Not truly unbiased unless you select a number using a random method

Question 3

Snowball sampling

Answer 3

Definition- researchers might find a few participants and then ask them to find participants themselves

Strength- Useful way to contact a sample of people who might otherwise find it difficult to find or persuade to take part

Weakness-Not representative

Question 4

Opportunity sampling

Answer 4

Definition-Taking the sample from people who are available at the time of the study and fit the criteria you are looking for

Strength- quick

Weakness-Unlikely to be representative and could be biased

Question 5

Stratified sampling

Answer 5

Definition- Involves classifying the population into group strata then choosing a sample which consists of participants from each group in the same proportions. Selections should be done using random sample

Strength- Very representative as it’s proportional so more likely to be generaliseable

Weakness-Very time consuming and complete representation is not possible

Question 6

Quota sampling

Answer 6

Definition- Sampling frame divided into smaller groups such as age, gender, ethnicity and a set number will be taken on each group.

Strength-

Weakness-