Exam 4: Reliability of Selection Measures

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How many test administrations do you need in order to calculate a split-half reliability estimate?

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As the coefficient approaches 1.00,the set of measures is viewed as:

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A

The higher the test-retest reliability coefficient,the greater the true score and the less the error.

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If our standard error is 3.16 and the difference between two applicants' scores is 3,then it is possible that the difference in scores is due to chance.

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In order to calculate an intraclass correlation,how many raters are necessary?

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If all respondents on a selection measure remember their previous answers to an initial administration of a measure and then on the retest respond according to their memory,the reliability coefficient will decrease.

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Because of the way it is calculated,a higher reliability coefficient is desirable.

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What is a true score?

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Split-half reliability procedures tend to produce a conservative estimate of reliability.

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As the number of response options or categories on a measure increases,reliability also increases.

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Tests with many items that are very difficult are more reliable than tests containing many items of moderate difficulty.

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Research has shown that the reliability of rating scales can be improved by offering from _____ to _____ rating categories:

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To control the effects of memory on test-retest reliability estimates,the same measure should be used the second time.

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Selection measures involving traits of personality,attitudes,or interests are usually considered to be fairly static yielding high reliability coefficients.

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If rxx = .85,and the standard deviation of x is 10,then the standard error of measurement for measure x is

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When a measure is perfectly reliable,its obtained score is higher than its true score.

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Selection measures that are designed to assess job-related characteristics are more precise than measures of physical characteristics.

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Reliability is a necessary but not sufficient condition for validity.

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Surprisingly,increasing the lengths of time between administrations does not reduce the impact of memory effects on reliability.

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Generally speaking,the greater the variability or standard deviation of scores on the characteristic measured,the higher the reliability of the measure of that characteristic.

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