Sampling Methods

Question 1

sampling - sample

Answer 1

selecting units from a population to study to generalise results

Question 2

sampling - representative sample

Answer 2

contains relevant characteristics of survey population to be able to generalise to them

Question 3

sampling - representativeness is affected by:

Answer 3

• sample size (larger=more representative)
• sampling frame: list of those in survey population (must be complete)
• sampling method (techniques used to select individuals must be generalisable and accurate to whole survey population

Question 4

sampling - random sampling

Answer 4

every individual in survey population has equal chance of being selected
subject to laws of chance - unrepresentative

Question 5

sampling - systematic sampling

Answer 5

individuals selected from sampling frame at regular intervals
unrepresentative - due to chance

Question 6

sampling - stratified random sampling

Answer 6

sampling fram subdivided into small sampling frames then individuals selected at random

Question 7

sampling - quota sampling

Answer 7

interviewers select people that fit into categories

interviewer may be bias

Question 8

sampling - snowball sampling

Answer 8

people w/characteristics relevant offer other people willing to cooperate in research until sample gradually builds up
useful when no sampling frame
not random/representative as sample is self-selecting (bias)