Lesson 3: Sampling Technique Flashcards
is a count or measure of an entire population. Taking a census provides complete information, but it is often costly and difficult to perform.
Census
refers to the process of selecting these individuals. To collect unbiased data, a researcher must ensure that the sample is representative of the population and random selection is a must.
Sampling
Is performed by selecting a group of subjects (a sample) for study from a large group (population).
Random Sampling
It is a process whose members had an equal chance of being selected from the population.
Probability Random Sampling
What are the 5 Types of Random Sampling?
- Simple Random Sampling
- Systematic Sampling
- Cluster Sampling/Area Sampling
- Stratified Sampling
- Multistage Sampling
is a process of selection n sample size in the population via random numbers or though lottery.
Simple Random Sampling
is a process of selecting a kth element in the population until the desired number of subjects or
respondents is attained.
Systematic Sampling
is a process of selecting clusters from a population which is very large or widely spread out over a wide geographical area. It is also known as
Cluster Sampling/Area Sampling
is a process of subdividing the population into subgroups or strata and drawing members at random from each subgroup or stratum.
Stratified Sampling
What are the 2 Types of Stratified Sampling?
- Stratified Equal Allocation
- Stratified Proportional Allocation
whose sample sizes from the strata are equal.
Stratified Equal Allocation
whose sample sizes from the different strata are proportional to the sizes of the strata.
Stratified Proportional Allocation
This sampling technique is often used for a very large population because several or all of the sampling techniques we have discussed may be used in the same study.
Multistage Sampling
