KR-21 Calculator

Estimate the reliability of a right/wrong test from summary statistics alone. Enter the number of items, the mean total score and the variance of scores.

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KR-21 reliability

0.684

questionable reliability

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Calculate it yourself

Use a 10-item right/wrong test with mean total score 7 and total-score variance 6.

Follow this worked example, then repeat the steps with your own numbers.

  1. Write down the three quantities

    k = 10 items; M = 7 mean points; s² = 6 variance of total scores.

    Use variance here, not standard deviation.

  2. Calculate the equal-difficulty term

    M(k − M) ÷ (k × s²) = 7 × (10 − 7) ÷ (10 × 6) = 21/60 = 0.35.
  3. Apply the item-count adjustment

    KR-21 = [k/(k − 1)] × [1 − 0.35] = (10/9) × 0.65 ≈ 0.722.

KR-21 assumes the items are equally difficult. If item-level responses are available, KR-20 can account for different item difficulties.

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Use your PaperSurvey.io results

Use the item count and total-score summaries from a graded assessment to calculate KR-21 separately.

PaperSurvey Reliability & Consistency widget with alpha, KR-20, score standard deviation and item count.
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Example from PaperSurvey.ioPaperSurvey displays alpha and KR-20 here; KR-21 is a separate estimate from test-score summaries.

KR-21 vs KR-20

KR-21 is a quicker estimate than KR-20. It needs only the number of items, the mean score and the score variance, rather than every student’s answer to every item. In exchange it assumes all items are equally difficult, an assumption that rarely holds exactly, so KR-21 is usually a slight underestimate of the true reliability.

When it is handy

Use KR-21 when you have the summary statistics from a scoring report but not the full item-by-item response matrix. If you do have the raw right/wrong responses, KR-20 gives a more accurate figure.

Frequently asked questions

What is an acceptable KR-21 value?

As with KR-20 and Cronbach’s alpha, 0.70 and above is generally considered acceptable for a test, and 0.80 and above is good.

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