Exam 7: Reliability of Selection Measures

A selection measure is internally consistent or homogeneous when individuals' responses on one part of the measure are unrelated to their responses on other parts.

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

Among the most popular internal consistency methods are all of these EXCEPT:

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

For which of the following selection measures is it most appropriate to use equivalent forms for reliability estimation?

The standard error of measurement is affected by variability within the group of respondents to whom a measure has been administered.

Which of the following is not a method for estimating internal consistency reliability?

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.

With a long time interval between administrations of a measure (test-retest), what could cause scores to change resulting in an underestimate of the reliability?

In the context of personnel selection, the reliability of criterion measures need not be as high as predictor measures.

Reliability is a necessary but not sufficient condition for validity.

Unreliable performance by a respondent on a reliable measure is possible, but reliable performance on an unreliable measure is impossible.

Kuder-Richardson reliability estimates are usually lower than those obtained from split-half estimates.

What is the difference between interclass and intraclass correlations (reliability estimates)?

Interrater agreement indices are generally restricted to interval or ratio data.

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

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

An obtained score consists of which two components?

Selection measures are not simply "reliable" or "not reliable," there are degrees of reliability.

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.