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Chapter 8 Sampling (Stage 4: Determine Your Sample Size (the more…
Chapter 8 Sampling
Stage 4: Determine Your Sample Size
the more homogeneous, the less variability in the distribution of the characteristics in the population.
the more heterogeneous a population, the larger the sample required to acquire a representative sample,
First, if you wish to make an inference to the wider population,
Second, you may wish to base your sample size on earlier, similar studies in your chosen field.
Third, the level of precision or sampling error is the range in which the ‘true’ population value is estimated to be.
Fourth, if you are adopting a case study research design, then the likelihood is that you are examining a real-life phenomenon,
Fifth, if the population is small, e.g. less than 150, then you may be in a position to carry out a census of the entire population.
there are several different formulas and tables used for determining sample size.
Stage 3: Choose Your Sampling Technique( s)
Taking a subset from your chosen sampling frame or entire population is called sampling.
can be used to make inferences about a population or to make generalizations in relation to existing theory.
Sampling Techniques
Probability or random sampling
Simple ramdon
startified ramdon
Cluster Sampling
Systematic Sampling
Multi-stage sampling
non-probability or non-random sampling.
Quota Sampling
Snowball sampling
Judgement sampling
Convenience Sampling
Stage 1: Clearly Define Your Target Population
is also a clearly defined group of research subjects that is being sampled.
Is to clearly define your target population.
Stage 2: Select Your Sampling Frame
consider how such a list of people or organizations can be located.
.
The sampling frame must be representative of the population
Stage 5: Collect Your Data
Data, a key concern is achieving a suitable number of responses.
your sample size should be large enough to accommodate non-responses.
Stage 6: Assess Your Response Rate
Is the number of cases agreeing to take part inyour study.
Your response rate can be represented as a percentage or actual number.