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Sampling, Ethics and Practical Issues

Simple random and systematic random sampling

  • 3 things to know
  • Component 2

Overview

Simple random sample and systematic random sample.

What you need to know

Answer each one before you reveal it.

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Key term

What is a simple random sample?

Key term

How is a simple random sample actually drawn?

Key term

Why is simple random sampling free of researcher bias?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What is a simple random sample?

    Model answer

    A simple random sample gives every member of the sampling frame an equal chance of selection. Names are drawn by lot or by random numbers.

  2. 2

    How is a simple random sample actually drawn?

    Model answer

    Every entry in the frame is numbered and random numbers are generated until the required count is reached. Repeats are discarded and the next number taken.

  3. 3

    Why is simple random sampling free of researcher bias?

    Model answer

    Chance alone decides who is included, so nobody exercises a preference. The researcher's expectations cannot enter the sample.

  4. 4

    Give two practical difficulties with simple random sampling.

    Model answer

    Simple random sampling needs a complete and accurate frame for the whole population. The people selected may also be scattered nationally, making interviews expensive.

  5. 5

    Why can a simple random sample still turn out unrepresentative?

    Model answer

    Chance can produce a draw that happens to over-represent one group. A random selection of fifty people may contain forty women.

  6. 6

    What is a systematic random sample?

    Model answer

    A systematic random sample takes every nth entry from the frame after a random starting point. Every twentieth name might be selected.

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