Deck 6: Estimating Reliability
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Deck 6: Estimating Reliability
1
The degree to which participant learning over time can impact a reliability estimate reflects variance in ________.
A) scoring
B) true score equivalence
C) test administration
D) true score fluctuation
A) scoring
B) true score equivalence
C) test administration
D) true score fluctuation
D
2
Error variance due to ________ may result in overestimating a reliability coefficient.
A) scoring
B) memory effects
C) guessing
D) test administration
A) scoring
B) memory effects
C) guessing
D) test administration
B
3
Internal consistency reliability estimates attempt to address issues commonly encountered in ________ reliability.
A) parallel forms
B) test-retest
C) inter-rater
A) parallel forms
B) test-retest
C) inter-rater
A
4
________ is the average of all possible split-half reliability estimates.
A) Inter-rater reliability
B) Inter-rater agreement
C) Spearman-Brown
D) Coefficient alpha
A) Inter-rater reliability
B) Inter-rater agreement
C) Spearman-Brown
D) Coefficient alpha
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5
________ refers to the degree to which raters provide the same ratings across observed events.
A) Inter-rater reliability
B) Inter-rater agreement
C) Spearman-Brown
D) Coefficient alpha
A) Inter-rater reliability
B) Inter-rater agreement
C) Spearman-Brown
D) Coefficient alpha
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6
If we are interested in capturing the relationship between scores provided by two raters, we would compute ________ .
A) Inter-rater reliability
B) Inter-rater agreement
C) Spearman-Brown
D) Coefficient alpha
A) Inter-rater reliability
B) Inter-rater agreement
C) Spearman-Brown
D) Coefficient alpha
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7
Cohen's kappa can be computed when two raters provide input on a variable at the ________ level of measurement.
A) nominal
B) ordinal
C) interval
D) ratio
A) nominal
B) ordinal
C) interval
D) ratio
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8
If we used a test's standard error of measurement (SEM) to compute a 95% confidence interval around a person's test score, we would be 95% certain we have captured the ________ .
A) amount of error associated with the test
B) score the test-taker would receive on a second administration of the test
C) test-taker's true score
D) variability across test scores
A) amount of error associated with the test
B) score the test-taker would receive on a second administration of the test
C) test-taker's true score
D) variability across test scores
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9
While most reliability estimates are computed using a bivariate correlation coefficient, the computation of ________ is more complex.
A) parallel forms reliability
B) split half reliability
C) Coefficient alpha
D) inter-rater reliability
A) parallel forms reliability
B) split half reliability
C) Coefficient alpha
D) inter-rater reliability
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10
Explain how each of the following sources of measurement error may influence the reliability estimate:
(a) guessing
(b) true score fluctuation, and
(c) test administration procedures
(a) guessing
(b) true score fluctuation, and
(c) test administration procedures
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11
Identify two concerns with computing a split-half reliability estimate. How might these concerns be addressed?
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12
In a pilot study of a new measure, a researcher found that the test's Coefficient alpha was just less than desired. Identify two ways the researcher could modify the test to improve the test's reliability.
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13
Do measures of internal consistency reliability provide evidence of the unidimensionality of a measure? Explain.
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14
Explain why the best practice would be to report more than one type of reliability estimate for a newly developed psychological measure.
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