Sampling

Question 1

Population

Answer 1

The people who live in a society

Question 2

Research population

Answer 2

The group of people you want to study

Question 3

Sample

Answer 3

The people who actually take part in your study

Question 4

Sampling frame

Answer 4

A list of the names of all the people belonging to the research population e.g. school registers, electoral rolls

Question 5

Representative

Answer 5

The extent to which a sample mirrors the research population and reflects its characteristics

Question 6

Generalisability

Answer 6

The extent to which the findings can be applied to the research population

Question 7

Representativeness: Sample size

Answer 7

Too small = not representative; the ideal size is when making it any larger wouldn’t produce much more representative data

Question 8

Representativeness: Sampling frame

Answer 8

Very important that everyone is included

Question 9

Representativeness: Sampling method

Answer 9

If chosen wisely relatively small samples can be very accurate

Question 10

Random sampling

Answer 10

Every person in the survey population has the same chancer of being selected often by numbering them

Question 11

Systematic sampling

Answer 11

Names are selected at regular intervals until the sample size is reached

Question 12

Stratified random sampling

Answer 12

Stratify the sample frame into smaller sample frames based on certain groups

Question 13

Quota sampling

Answer 13

Interviewers find people that fit certain categories, according to their proportion in the research population, until they reach their quota, open to researcher’s bias

Question 14

Snowball sampling

Answer 14

Used when there isn’t a sample frame so you need introductions from p’s to others