Teaching · For Teachers · Research and data
Choose a survey or a two-group comparison and type what you need to detect. The calculator gives the sample size, corrects it for a small population like your own school, and tells you how many to invite once nonresponse is counted.
Included with Caveat Classroom and Whole-school licenses. Or get it in the For Teachers toolkit, $79 for 72 items.
The worked example is made up: a family survey at a K to 8 school of 640 families, aiming for ±5 points. Nothing you type leaves this browser.
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A survey uses margin, expected percent and population; a comparison uses effect size and power. Confidence and dropout apply to both.
Teaching · For Teachers$12 · included with Classroom and Whole-school licenses
Precision you need, divided by the noise you expect.
The responses needed to estimate a percent within ±e points are z² × p(1 − p) ÷ e², largest when the expected percent is 50, which is why 50 is the safe default. When the population is small and known, such as the families at one school, the finite population correction lowers the number. Halving the margin roughly quadruples the sample.
To detect a difference of d standard deviations between two groups with a two-sided test, each group needs about 2(z for α + z for power)² ÷ d² students. Power is the chance of detecting a real effect of that size. Small effects need large groups: d = 0.2 needs about 393 per group at 80% power, d = 0.5 about 63.
The worked example is made up. Your figures stay in this browser. Support: team@caveatacademic.com.