Sampling Methods, Access And Gatekeeping

Question 1

Access

Answer 1

If the target population are difficult to access, they may cause problems with the sample, access to gatekeepers, impact, validity, and generalisability

Question 2

Random sampling

Answer 2

Equal chance of being picked chosen entirely by chance, reduce risk of samples being biased.
Strength = not biased reliable preferred by positivists
Weaknesses = no representativeness, time-consuming, Sample frame won’t give useful information.

Question 3

Random sampling

Answer 3

Equal chance of being picked chosen entirely by chance, reduce risk of samples being biased.
Strength = not biased reliable preferred by positivists
Weaknesses = no representativeness, time-consuming, Sample frame won’t give useful information.

Question 4

Systematic sampling

Answer 4

Every other nth number is then selected from the sampling frame
Strengths = not buys, reliable preferred by positivists
Weaknesses = doesn’t always guarantee a representativeness time consuming

Question 5

Stratified sampling

Answer 5

Dividing target population by characteristics and using systematic sampling.
Strengths = not biased preferred by positivists
Weaknesses = not representative and time consuming

Question 6

Quota sampling

Answer 6

Clear idea of the sample they want, and where to find it.
Strengths = high validity;if met quota, easy to set target more representative than other non-random samples
Weaknesses = specific research may be buys towards a certain group

Question 7

Snowball sampling

Answer 7

One of target population has contact with recruit other participants.
Strengths = easy as if one person acts as gatekeeper, good to use for studies
Weaknesses = biased, limit sample size, not representative

Question 8

Purposive sampling

Answer 8

Strengths = Haven’t wasted time, useful when no sampling frame
Weaknesses = generalise, not representative biased

Question 9

Volunteer sampling

Answer 9

Strengths = easy quick, can get a large sample, representative
Weaknesses = generalise, not representative and biased