TRUE /FALSE Questions
1. Measures are methods or techniques for describing and assessing attributes of objects that are of concern to us.
2. When developing measures, it is a good idea to give each rater some license to interpret the meaning of scores as fits the specific situation.
3. To achieve standardization the content of job application tests should be the same for all applicants.
4. Scoring keys for tests should be developed immediately after the test has been administered.
5. Most staffing measures can be best described as being on a ratio scale.
6. A rank ordering of five job candidates in terms of overall qualification for the job is an example of an ordinal scale.
7. Research shows that when an attribute is measured by both objective and subjective means, there is often relatively low agreement between scores from the two types of measures.
8. The standard deviation is a measure of the central tendency of a scale.
9. The most appropriate measure of central tendency for nominal scale data is the median.
10. Standard scores are also useful for determining how a person performed, in a relative sense, on two or more tests. This is helpful for comparing relative standing across several tests.
11. If an individual has a z-score of 2.0 on a performance test, this indicates this person's score is twice as high as the average test score.
12. A correlation coefficient ranges from 0 to +1.
13. A correlation between two variables does not necessarily that one causes the other.
14. A standard level for statistical significance is p<.50.
15. With very large samples, it is possible for a fairly weak relationship to still be statistically significant.
16. Measurement standardization applies to measurement content, not the administration of measurements.
17. When numbers are assigned by category, this reflects an ordinal scale of measurement.
18. If scores are classified as "low", "medium", and high", the scale of measurement is nominal.
19. Human body weight is an example of a variable measured on a ratio scale of measure.
20. Numerical employment interview ratings represent objective measures.