Sampling and Sample Size - Rof's Blog · Classification of Sampling Techniques ... Step 2. Plug your data into the formula. ... Slovin's Sample Size Population Size (N)

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)