Kuder-Richardson Formula 20 (KR-20) Quiz

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7 Questions

What type of tests is the Kuder-Richardson Formula 20 specifically used for?

Tests with dichotomous variables

What range of values can the reliability score derived from the KR-20 have?

0 to 1

What does a reliability score closer to 1 indicate about a test?

The test has less variation in question difficulty

What is the theoretical idea that there is an accurate score in every assessment process?

True score

When considering measurement errors in test scores, what does the observed score represent?

True score with at least some instance of error

What is the formal definition of measurement error according to the text?

Difference between an individual’s obtained and true score

Which type of assessment processes are particularly prone to interrater error according to the text?

Observations and projective measures

Study Notes

Reliability in Testing

  • The Kuder-Richardson Formula 20 (KR-20) is specifically used for tests with dichotomous items (e.g., true/false, yes/no).

KR-20 Reliability Score

  • The reliability score derived from the KR-20 can have a range of values between 0 and 1.
  • A reliability score closer to 1 indicates that the test scores are highly consistent and reliable, with little variation due to measurement errors.

Measurement Error and Observed Score

  • The observed score represents the actual score obtained by a test-taker, which is a combination of their true score and measurement error.
  • The theoretical idea that there is an accurate score in every assessment process is known as the true score theory.

Measurement Error Definition

  • Measurement error is formally defined as the difference between the observed score and the true score.

Interrater Error

  • Assessment processes that involve subjective judgements, such as essay exams or rating scales, are particularly prone to interrater error.

Test your knowledge of the Kuder-Richardson Formula 20, a measure of reliability for tests with dichotomous variables. Learn about its application in assessing the consistency of results across repeated testing and its usefulness in situations where the difficulty of test items varies.

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