1 Data Collection and LDS Flashcards
What is a population?
A collection of all of the items we are interested in.
What is a sample?
A subset of items chosen from a population.
What is a sampling unit?
Each individual item in a sample.
What is a sampling frame?
A list containing all sampling units, often numbered or individually named.
What is a census?
Observing and measuring information from every member of a population.
Advantages of census
Should give completely accurate result
Disadvantages of census
Time consuming and expensive, can’t be used when testing involves destruction, large volume of data that is hard to process
Advantages of sample (compared to census)
Less expensive, less time consuming and less data to process
Disadvantages of sample (compared to census)
Data may not be accurate, sample may not be large enough to represent small sub-groups of population
How is a simple random sample carried out?
Using X as a sampling frame. Assign each sampling unit a number from 1 to N. Use a random number generator to select ‘n’ unique numbers. Choose the items corresponding to the numbers to form your sample.
What is a simple random sample?
A sample where every item in the sample has an equal chance of being selected.
Advantages of simple random sampling
Bias free, easy and cheap for small populations and samples, each sampling unit has equal chance of selection.
Disadvantages of simple random sampling
not suitable for big populations, sample may not be accurate for whole population, sampling frame needed.
What is a systematic sample?
A sample where the required elements are chosen at regular intervals from an ordered list. (first item chosen at random)
How is a systematic sample carried out?
Using X as a sampling frame. Assign each item a number from 1 to N. Randomly select the first item using a random number generator to select the first item between 1 and K and select every kth item to form sample. (k = population size / sample size)
Advantages of systematic sampling
Simple and quick to use, suitable for large samples and populations.
Disadvantages of systematic sampling
Can introduce bias if sampling frame is small and not random as patterns can be picked up in the data, sampling frame needed
What is a stratified sample?
A sample which is proportional to the number of items in each stratum/group
How is a stratified sample carried out?
Calculate proportion of each group required in sample. Within each group, assign each sampling unit a number. Use a random number generator to select amount of ‘unique’ numbers required. Choose the items corresponding to the numbers to form your sample.
Advantages of stratified sample
Accurately reflects population structure, guarantees proportional representation of groups within population.
Disadvantages of stratified sample
Sampling frame needed and population must be clearly classified into distinct strata, selection within each stratum suffers from same disadvantages as simple random sampling.
What is quota sampling?
A sample chosen to reflect the proportion of characteristics of the whole population. Quotas in each group try to reflect the group’s proportion in whole population.
How is a quota sample carried out?
Population is divided into groups according to characteristic. Create each quota (same proportion of sample as proportion of population). Select the sampling units until quotas are full. Once quota is full, ignore subsequent sampling units that also match that characteristic.
Advantages of quota sample
Allows a small sample to still be representative of population, no sampling frame required, relatively quick, easy and inexpensive