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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.

15-30 min2-100 peopleMedium
When to Use

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

How It Works

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

Step-by-Step Instructions
Follow these steps to facilitate this method
  1. 1

    Step 1: Obtain a complete list of the population of interest. (5 min)

  2. 2

    Step 2: Assign a unique number to each member of the population. (5 min)

  3. 3

    Step 3: Use a random number generator to select the desired number of members. (10 min)

  4. 4

    Step 4: Analyze the selected members. (10 min)

Facilitator Tips
  • Ensure the list is complete and accurate.
  • Use a reliable random number generator.
Variations
  • Use a lottery method for smaller populations.
  • Combine with stratified sampling to ensure representation of key subgroups.
Source: BetterEvaluation.org Rainbow FrameworkLearn more