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

Sequential Sampling

Sequential sampling involves selecting every nth case from a list, providing a systematic way to gather data. This method is simple and efficient for obtaining a representative sample from an ordered list.

When to use Sequential Sampling

Use this method when you have a readily available list of individuals or items and need a quick, unbiased sample.

What it solves

Potential bias if the list has an underlying pattern that coincides with the sampling interval; Difficulty in ensuring representation of all subgroups.

How to run Sequential Sampling, step by step

  1. Obtain a complete list of the population of interest. (5 min)
  2. Determine the sampling interval (n) based on the desired sample size. (5 min)
  3. Select every nth case from the list, starting from a randomly chosen point. (10 min)
  4. Analyze the selected cases. (10 min)

Materials needed

  • Complete list of the population
  • Calculator
  • Random number generator (optional)

Facilitator tips

  • Ensure the list is complete and accurate.
  • Randomly select the starting point to avoid bias.

Common pitfalls

  • Systematic bias if the list has a recurring pattern. Scrutinize the list for potential patterns.
  • Inaccurate sampling if the list is incomplete or outdated. Verify the accuracy of the list.

Variations

  • Use a stratified approach to ensure representation of different subgroups.
  • Adjust the sampling interval to achieve the desired sample size.

Running it online or hybrid

Use a spreadsheet to track the list and highlight every nth case.

What it produces

A sample of cases selected at regular intervals from a master list.

Origin

Adapted from BetterEvaluation.org — source

Build a session around Sequential Sampling

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

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