... of simple random sampling: Not suitable when the population size or the sample size is large, A sampling frame is needed
Back
Card 7
Front
... of systematic sampling: Simple and quick to use, Suitable for large samples and large populations
Back
Card 8
Front
... of systematic sampling: A sampling frame is needed, It can introduce bias if the sampling frame is not random
Back
Card 9
Front
... of stratified sampling: Sample accurately reflects the population structure, Guarantees proportional representation of groups within a population
Back
Card 10
Front
... of stratified sampling: Population must be clearly classified into distinct strata, Selection within each stratum suffers from the same disadvantages as simple random sampling
Back
Card 11
Front
... of quota sampling: Allows a small sample to still be representative of the population, No sampling frame required, Quick, easy and inexpensive, Allows for easy comparison between different groups within the population
Back
Card 12
Front
... of quota sampling: Non-random sampling can introduce bias, Population must be divided into groups, which can be costly or inaccurate, Increasing scope of study increases number of groups, which adds time and expense, Non-responses aren't recorded
Back
Card 13
Front
... of opportunity sampling: East to carry out, Inexpensive
Back
Card 14
Front
... of opportunity sampling: Unlikely to provide a representative sample, Highly dependent on individual researcher
