Systematic Sampling

This is random sampling with a system!  From the sampling frame, a starting point is chosen at random, and thereafter at regular intervals.  
For example, suppose you want to sample 8 houses from a street of 120 houses. 

120/8=15, so every 15th house is chosen after a random starting point between 1 and 15.  If the random starting point is 11, then the houses selected are 11, 26, 41, 56, 71, 86, 101, and 116.

Street of houses

If there were 125 houses, 125/8=15.625, so should you take every 15th house or every 16th house?  If you take every 16th house, 8*16=128 so there is a risk that the last house chosen does not exist.  To overcome this the random starting point should be between 1 and 10.  On the other hand if you take every 15th house, 8*15=120 so the last five houses will never be selected.   The random starting point should now be between 1 and 20 to ensure that every house has some chance of being selected.

In a random sample every member of the population has an equal chance of being chosen, which is clearly not the case here, but in practice a systematic sample is almost always acceptable as being random.

Advantages

  • spreads the sample more evenly over the population

  • easier to conduct than a simple random sample

Disadvantages

  • the system may interact with some hidden pattern in the population, e.g. every third house along the street might always be the middle one of a terrace of three

 

Click on the Cluster button at the top of the page to continue on the recommended route through the module.

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