Sampling

Question 1

Target population

Answer 1

the total group of individuals from which the sample might be drawn

Question 2

Random sampling definition

Answer 2

a type of probability sampling where everyone in the entire target population has an equal chance of being selected, raffle method to choose who makes up sample

Question 3

Random sampling evaluation

Answer 3

+ sample should represent the target population

- very difficult to achieve, time money

Question 4

Stratified sampling definition

Answer 4

researcher identifies the different types of people that make up a target population and works out the proportions needed for the sample to be representative

Question 5

Stratified sampling evaluation

Answer 5

+ should be highly representative of the target population

- gathering a sample would be extremely time consuming and is rarely used

Question 6

Opportunity sampling definition

Answer 6

use people from target population available at the time and willing to take part

Question 7

Opportunity sampling evaluation

Answer 7

+ quick and easy way of choosing participants

- may not provide a representative sampled and could be biased

Question 8

Systematic sampling defintion

Answer 8

using every nth participant on a list of names, divided the number of people in the population by the number of people in your sample you will the number called n

Question 9

Systematic sampling evaluation

Answer 9

+ should provide a representative sample

- very difficult to achieve (time and money)