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Lecture

# Systematic and Stratified Sampling.docx

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McMaster University

Sociology

SOCIOL 2Z03

David Young

Summer

Description

Systematic sampling
What it is? – sampling technique that gives each sampling unit in the pop an equal chance at
being selected in the sample by choosing every Nths (N is a number, i.e fifth, sixth etc) unit,
starting randomly
This is similar to simple random sampling, but advantage of this is that it is not at tedious, or
laborious
o 1. Get a sampling frame and number the sampling units
We have a list of 10 000 undergrads at a uni
We want a sample from that list for our study
o 2. Determine the sampling interval
Sampling interval is the standard distance between the units selected for
inclusion in a sample
This is calculated by dividing the population size by the sample size
So we divide 10 000 by 1000 (sample size)
10 = sample interval
o 3. Select the random sample using the sampling interval
We go back to our table of numbers between 0 and the value of our sampling
interval
Then we would repeatedly be moving down the list the value of that sampling
interval
So we need to select a number between 0 – 10
That is going to be our starting point for selecting our sample
Suppose to hit 5, then we must move down by 10s
Hence 15, 25, 35 get selected
o 4. Ensure that there is no periodicity in the list – periodicity refer a cyclical pattern that
coincides with the sampling interval
i.e. every 10 student is a social science student which is not a good
representative of the population
stratified sampling

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