1.1 Data collection Flashcards
Population
The whole set of items that are of interest
Raw data
Information obtained from a population
Census
Measures or observes every member of a population
Census disadvantages and advantages
Advantages:
. Results should be completely accurate
Disadvantages:
. Time consuming and expensive
Sample disadvantages and advantages
Advantages:
. Less time consuming
. Cheaper
Disadvantages:
. Data may not be accurate (small sample size)
Sampling units
Individual units of a population
Sampling frame
A list of sampling units
What are the 3 types of random sampling
. Simple random sampling
. Systematic sampling
. Straisfied sampling
Simple random sampling
A simple random sample of size n is one where every sample of size n has an equal chance of being selected
Systematic sampling
The required elements are chosen at regular intervals from an ordered list
Stratisfied sampling
The population is divided into mutually exclusive strata and a random sample is taken from each
Simple random sampling advantages and disadvantages
Advantages:
. Free of bias
. Easy and cheap
Disadvantages
. Not suitable for large samples
. Sampling frame needed
Systematic sampling advantages and disadvantages
Advantages
. Simple and quick to use
. Suitable for large samples
Disadvantages
. A sampling frame is needed
. Bias introduced if sampling frame is not random
Stratisfied sampling advantages and disadvantages
Advantages
. Sample accurately reflects the population
Disadvantages
. Population must be clearly classified into distinct strata (time consuming)
What are the 2 types of non - random sampling
. Quota sampling
. Opportunity sampling
Quota sampling
An interviewer or researcher selects a sample that reflects the characteristics of the whole population
Opportunity sampling
Sample is taken from people who are available at the time of study and who fits the criteria you are loading for
Quota sampling advantages and disadvantages
Advantages
. No sampling frame needed
. Efficient
. Cheap
Disadvantages
. Population must be divided into groups which can be costy
. Can introduce bias
Opportunity sampling advantages and disadvantages
Advantages
. Easy to carry out
. Cheap
Disadvantages
. Unlikely to provide a representative result
Types of data
Qualitative data
Quantitative data
Quantitative data
Data associated with numerical observations are called quantitative data
Qualitative data
Data associated with non-numerical observations are called qualitative data
Continuous variable
A variable that can take any value in a given range is a continuous variable
Discrete variable
A variable that can onlyy take specific values is a discrete variable