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WorksheetsSampling Techniques
Total questions: 17
Worksheet time: 2mins
It means choosing from a large population the respondents or subjects to answer your research questions. The entire population is involved but for your research study, you choose only a part of the whole.
Sampling Unit
Sampling
Population
Sampling Frame
It is a technical term in research which means a big group of people from where you choose the sample or the chosen set of people to represent the population.
Sampling Unit
Sampling
Population
Sampling Frame
It is the list of the members of the population to which you want to generalize or apply your findings about the sample.
Sampling
Population
Sampling Unit
Sampling Frame
It is the term referring to every individual in the population.
Sampling
Population
Sampling Unit
Sampling Frame
What are the factors that affects the sample selection?
Sample Size
Sampling Technique
Heterogeneity of Population
Statistical Techniques
Time and Cost
What are the sampling methods under probability sampling?
Simple Random
Systematic
Stratified
Cluster
What are the sampling methods under non-probability sampling?
Quota
Voluntary
Purposive
Availability
Snowball
TYPES OF PROBABILITY SAMPLING METHODS:
Using a pure chance selection, you assure every member the same opportunity to be in the sample.
Systematic Sampling
Cluster Sampling
Simple Random Sampling
Stratified Sampling
TYPES OF PROBABILITY SAMPLING METHODS:
For this sampling method, chance and systems are the ones to determine who should compose your sample.
Systematic Sampling
Cluster Sampling
Simple Random Sampling
Stratified Sampling
TYPES OF PROBABILITY SAMPLING METHODS:
The group consisting the sample is chosen in a way that such group is liable to subdivision during the data analysis stage.
Simple Random Sampling
Systematic Sampling
Stratified Sampling
Cluster Sampling
TYPES OF PROBABILITY SAMPLING METHODS:
This is a sampling that makes you isolate a set of persons instead of individuals members to serve as sample members.
Simple Random Sampling
Systematic Sampling
Stratified Sampling
Cluster Sampling
TYPES OF NON-PROBABILITY SAMPLING METHODS:
In this case, you tend to choose sample members possessing or indicating the characteristics of the target population.
Voluntary Sampling
Quota Sampling
Purposive/Judgemental Sampling
Availability Sampling
Snowball Sampling
TYPES OF NON-PROBABILITY SAMPLING METHODS:
Since the subject you expect to participate in the sample are the ones volunteering to constitute the sample, there is no need for you to do any selection process.
Voluntary Sampling
Quota Sampling
Purposive/Judgemental Sampling
Availability Sampling
Snowball Sampling
TYPES OF NON-PROBABILITY SAMPLING METHODS:
You choose people whom you are sure that could correspond to the objectives of your study, like selecting those with rich experiences or interest.
Voluntary Sampling
Quota Sampling
Availability Sampling
Purposive/Judgemental Sampling
Snowball Sampling
TYPES OF NON-PROBABILITY SAMPLING METHODS:
The willingness of a person as your subject to interact with you counts a lot in this sampling method.
Voluntary Sampling
Quota Sampling
Availability Sampling
Purposive/Judgemental Sampling
Snowball Sampling
TYPES OF NON-PROBABILITY SAMPLING METHODS:
Free to obtain data from any group, you tend to increase the number of people you want to form the sample of your study.
Voluntary Sampling
Quota Sampling
Purposive/Judgemental Sampling
Snowball Sampling
Availability Sampling
What formula is used to calculate the sample size?
Margin of Error Formula
Convenience Sampling Formula
Cochran's Sample Size Formula
Slovin's Formula
