Definition

Sample size

The number of participants or units in a study — determined by power analysis (quantitative) or saturation (qualitative), not convention.

Sample size is a calculated answer to "how much evidence do I need?": for detecting effects, power analysis solves n from the smallest effect of interest, alpha, and target power; for estimating proportions, the margin of error drives it; for interviews, saturation logic applies.

Too small wastes everyone’s time (real effects missed, estimates unstable); too large wastes resources and can make trivial effects "significant". Reviewers and ethics boards now expect the justification in the protocol, not the discussion.

Beyond the definition

Kahubi runs the analyses, screens the literature, and writes the methods sections these terms come from — grounded in your own sources. Free plan included.