Questions and Answers
Which theory assumes that errors of measurement are random?
Classical test theory
What does the standard error of measurement tell us?
How much a score varies from the true score
What is measurement error?
The error caused by the process of measuring a variable
What is random error?
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What is systematic error?
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What is test-retest reliability?
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What is internal consistency?
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What is true variance?
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What is error variance?
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Which factor indicates a more reliable test?
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Study Notes
- Reliability refers to the consistency and dependability of measurements.
- Classical test theory assumes that errors of measurement are random.
- Variance can be broken down into true variance and error variance.
- The standard error of measurement tells us how much a score varies from the true score.
- The greater portion of total variance attributed to true variance, the more reliable the test.
- Measurement error refers to all factors associated with the process of measuring a variable.
- Random error is a source of error in measuring a variable caused by unpredictable fluctuations and inconsistencies.
- Systematic error is a source of error in measuring a variable that is typically constant or proportionate to the true value of the variable.
- Test-retest reliability measures the correlation between scores from the same group on two different administrations of the same test.
- Internal consistency measures how well each item on a test measures the same construct.
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