Chapter 1 - Data Collection Flashcards
Census
A census observes or measure every member of a population
Advantage of Census
It should give a completely accurate result
Disadvantages of census
- Time consuming and expensive
- Cannot be used when testing process destroys the item
- Hard to process large quantity of data
Sample
A sample is a selection of observations taken from a subset of the population which is used to find out information about the population as a whole
Advantage of sample
- Less time consuming and expensive than a census
- Fewer people have to respond
- Less data to process than in a census
Disadvantage of sample
- The data may not be as accurate
- The sample may not be large enough to give information about small sub group of the population
Simple random sample
A simple random sample of size n is one where every sample of size n has an equal chance of being selected
Advantage of simple random sampling
- Free of bias
- Easy and cheap to implement for small populations and small samples
- Each sampling unit has a known and equal chance of selection
Disadvantage of simple random sampling
- A sampling frame is needed
Advantage of Systematic sampling
- Simple and quick to use
- Suitable for large sample and large populations
Disadvantage of systematic sampling
- A sampling frame is needed
- It can introduce bias is the sampling frame is not random
Advantage of stratified sampling
- Sample accurately reflects the population structure
- Guarantees proportional representation of groups within a population
Disadvantage of stratified sampling
- Population must be clearly classified into distinct strata
- Selection within each stratum suffers from the same disadvantage as simple random sampling
Quota sampling
Quota sampling, an interviewer or researcher selects a sample that reflects the characteristics of the whole population
Opportunity sampling
Opportunity sampling consists of taking the sample from people who are available at the time the study is carried out and who fit the criteria you looking for.