Sampling Advantages and Disadvantages Flashcards
Random Sampling
Assign a number to every member of the population. Use a random selection method to pick a number. Ignore repeats.
Advantages - Representative (everyone has equal chance to be picked)
Unbiased
Disadvantages - Needs a full list of population.
Not always convenient as it can be time consuming and expensive.
Needs a large sample.
Stratified Sampling
Split the population into groups.
Use formula sample = strata/total x sample size.
Use random sampling within strata.
Advantages - Sample is in proportion to population
Best used for populations with groups of equal sizes (such as school year groups)
Disadvantages - Time consuming
Systematic Sampling
Divide your population size by sample size to calculate intervals (e.g. 400/40 = 10 so split into 10s)
Use random sampling to generate a starting point. e.g. 7
select every 10th item AFTER the 7th person. So 7th, 17th, 27th etc
Advantages - population is evenly sampled
Can be carried out by machine
Sample is easy to select
Disadvantages - not strictly random as some members cannot be chosen.
Cluster Sampling
Divide the population into natural grups, groups are chosen at random and every member of the group are sampled.
Advantages - economically efficient
Can be representative if lots of small clusters are sampled
Disadvantages - High Sampling error
Clusters may not be representative of the population and may lead to a biased sample
Quota Sampling
Group population by characteristics (e.g. gender and age)
Select quota for each group (e.g. 30 men under, 40 women under 30)
Obtain sample by finding members of each group until quota is met
Advantages - quick to use
Cheap
Do not need sample frame or full list of the population
Disadvantages - NOT RANDOM The interviewer is choosing the participants and therefore it is biased. So each person doesn’t have equal chance to be selected.
Opportunity Sampling
Using people/items that are available at the time. E.g. Interviewing the first 10 people you see on a Monday morning
Advantages - Quick, cheap and easy
Disadvantages - Not Random - The sample has not be collected fairly so may not be representative of hte population. Every member doesn’t have equal chance to be selected.
Judgement Sampling
When researcher uses their own judgement to select a sample, they think will represent the population. E.g. A teacher
Advantages - easy, quick
Disadvantages - NOT RANDOM
Quality of sample depends on the person selecting the sample.