Test Your Knowledge on Measurement and Reliability in Psychology

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Questions and Answers

Which theory assumes that errors of measurement are random?

  • Classical test theory (correct)
  • Systematic error theory
  • Variance theory
  • Reliability theory

What does the standard error of measurement tell us?

  • How much a score varies from the true score (correct)
  • How much a score varies from the mean score
  • How much a score varies from the mode score
  • How much a score varies from the median score

What is measurement error?

  • The error caused by the correlation between scores
  • The error caused by the process of measuring a variable (correct)
  • The error caused by unpredictable fluctuations and inconsistencies
  • The error caused by constant or proportionate values

What is random error?

<p>A source of error caused by unpredictable fluctuations and inconsistencies (B)</p>
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What is systematic error?

<p>A source of error caused by constant or proportionate values (C)</p>
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What is test-retest reliability?

<p>Measures the correlation between scores from the same group on two different administrations of the same test (C)</p>
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What is internal consistency?

<p>Measures how well each item on a test measures the same construct (C)</p>
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What is true variance?

<p>The portion of total variance attributed to the construct being measured (B)</p>
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What is error variance?

<p>The portion of total variance attributed to measurement error (B)</p>
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Which factor indicates a more reliable test?

<p>Greater portion of total variance attributed to true variance (B)</p>
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Study Notes

  1. Reliability refers to the consistency and dependability of measurements.
  2. Classical test theory assumes that errors of measurement are random.
  3. Variance can be broken down into true variance and error variance.
  4. The standard error of measurement tells us how much a score varies from the true score.
  5. The greater portion of total variance attributed to true variance, the more reliable the test.
  6. Measurement error refers to all factors associated with the process of measuring a variable.
  7. Random error is a source of error in measuring a variable caused by unpredictable fluctuations and inconsistencies.
  8. Systematic error is a source of error in measuring a variable that is typically constant or proportionate to the true value of the variable.
  9. Test-retest reliability measures the correlation between scores from the same group on two different administrations of the same test.
  10. Internal consistency measures how well each item on a test measures the same construct.

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