3 disadvantages of a census
Time consuming
Cannot be used when the testing process destroys the item
Hard to process a large quantity of data
3 advantages of a sample
Less time consuming and expensive than a census
Fewer people have to respond
Less data to process than in a census
2 disadvantages of a sample
Data may not be accurate enough, Sample may not be large enough to give information about small sub-groups of the population
3 advantages of simple random sampling
Free of bias, Easy and cheap to implement for small populations and samples, Each sampling unit has known and equal chance of selection
2 disadvantages of simple random sampling
Not suitable when the population size or the sample size is large, A sampling frame is needed
2 advantages of systematic sampling
Simple and quick to use, Suitable for large samples and large populations
2 disadvantages of systematic sampling
A sampling frame is needed, It can introduce bias if the sampling frame is not random
2 advantages of stratified sampling
Sample accurately reflects the population, Guarantees proportional representation of groups within a population
2 disadvantages of stratified sampling
Population must be clearly classified into district data, Selection within each stratum suffers from the same disadvantages as a simple random sampling
4 advantages of quota sampling
Allows a small sample to still be representative of the the population, No sampling frame required, Quick, Allows for easy comparison between different groups within a population
4 disadvantages of quota sampling
Non-random sampling can introduce bias, Population must be divided into groups, Increasing scope of study increases number of groups, Non-responses are not recorded as such
2 advantages of oppurtunity sampling
Easy to carry out, Inexpensive
2 Disadvantages of oppurtunity sampling are
Unlikely to provide a representative sample, Highly dependent on individual researcher