sampling and sample size - rof's blog · classification of sampling techniques ... step 2....
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Sampling and Sample Size
W. Rofianto
Population
Population Element
Sampling frame
SamplingCensus
Availability of elements
Greater accuracy
Lower cost
WHY
Sampling
Greater speed
Classification of Sampling Techniques
Sampling Techniques
Nonprobability
Sampling TechniquesProbability
Sampling Techniques
Convenience
Sampling
Judgmental
Sampling
Quota
Sampling
Snowball
Sampling
Systematic
Sampling
Stratified
Sampling
Cluster
Sampling
OthersSimple Random
Sampling
Step 1. Figure out what you want your confidence level to be. For example,
you might want a confidence level of 95 percent (which will give you
a margin of error of 0.05).
Step 2. Plug your data into the formula. In this example, we’ll use a 95
percent confidence level with a population size of 1,000.
n = N / (1 + N e2)
= 1,000 / (1 + 1000 * 0.05 2)
= 285.714286
Step 3. Round your answer to a whole number (because you can’t sample a
fraction of a person or thing!) 285.714286 = 286
http://www.statisticshowto.com/how-to-use-slovins-formula/
How many sample of a population
of 1,000 people you need to take
for a survey?
Sample Size Rule of Thumb
Hair, et al. (2010)
SEM Sample Size Determination
Hair, et al. (2010)
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