1. If you want to measure the degree of consistency within a test (among all tes
ID: 3223111 • Letter: 1
Question
1. If you want to measure the degree of consistency within a test (among all test items), you should use ____.
Cronbach’s alpha.
interrater reliability.
content validity.
criterion-related validity.
2. Test X is designed to predict which individuals in a smoking cessation program will successfully quit smoking. Scores from Test X administered at the beginning of a cessation program correlate .89 with length of time smokers are able to quit. This evidence suggests that Test X is:
reliable.
valid.
standardized.
consistent.
3. The extent to which a test measures what it is designed to measure is an expression of:
test-retest reliability.
internal consistency.
homogeneity.
validity.
4. If a test predicts another variable measured at the same time, it is said to have:
negative validity.
content-related validity.
concurrent validity.
face validity.
Explanation / Answer
1. If you want to measure the degree of consistency within a test (among all test items), you should use ____.
the correct option is ;- Cronbach’s alpha
2. Test X is designed to predict which individuals in a smoking cessation program will successfully quit smoking. Scores from Test X administered at the beginning of a cessation program correlate .89 with the length of time smokers are able to quit. This evidence suggests that Test X is:
the correct option is ; - valid.
3.The extent to which a test measures what it is designed to measure is an expression of:
the correct option is;- validity.
Note: -Validity is the extent to which a concept, conclusion or measurement is well-founded and corresponds accurately to the real world.
4. If a test predicts another variable measured at the same time, it is said to have:
the correct option is;- concurrent validity
Note:-Concurrent validity refers to the degree to which the operationalization correlates with other measures of the same construct that are measured at the same time. When the measure is compared to another measure of the same type, they will be related (or correlated). Returning to the selection test example, this would mean that the tests are administered to current employees and then correlated with their scores on performance reviews
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