explore · Strategy · 15–30 min · 2-100 people · low energy

Simple Random Sampling

Simple random sampling involves drawing a sample from the population completely at random, ensuring each member has an equal chance of selection. This method minimizes bias and provides a representative sample.

When to use Simple Random Sampling

Use this method when you want to obtain a completely unbiased sample from a population.

What it solves

Potential for underrepresentation of certain subgroups due to chance; Difficulty in ensuring diversity in the sample.

How to run Simple Random Sampling, step by step

  1. Obtain a complete list of the population of interest. (5 min)
  2. Assign a unique number to each member of the population. (5 min)
  3. Use a random number generator to select the desired number of members. (10 min)
  4. Analyze the selected members. (10 min)

Materials needed

  • Complete list of the population
  • Random number generator
  • Computer or calculator

Facilitator tips

  • Ensure the list is complete and accurate.
  • Use a reliable random number generator.

Common pitfalls

  • Underrepresentation of certain subgroups due to chance. Consider using stratified sampling to ensure representation.
  • Bias if the random number generator is not truly random. Use a reputable random number generator.

Variations

  • Use a lottery method for smaller populations.
  • Combine with stratified sampling to ensure representation of key subgroups.

Running it online or hybrid

Use online random number generators to select participants.

What it produces

A randomly selected sample from the overall population.

Origin

Adapted from BetterEvaluation.org — source

Build a session around Simple Random Sampling

METODIC places Simple Random Sampling inside a complete, timed session plan — agenda, worksheets, facilitator guide and slides — matched to your group and goal.

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