Multiple Choice Questions
1. Which of the following is not part of the process of measurement?
A. choosing an attribute of concern
B. assessing the attribute's acceptability to applicants
C. using the measure to gauge the attribute
D. constructing a measure of the attribute
2. The process of ensuring that all test takers receive the same tests in the same context, as a way to eliminate extraneous influences on test performance is called ____________________.
A. standardization
B. optimization
C. rationalization
D. inflation
3. Which of the following statements about measurement is not correct?
A. It assigns numbers to objects.
B. It is based on rules determined in advance.
C. It measures the object not the attribute.
D. It measures constructs.
4. A nominal scale of measurement has ________.
A. rank order
B. an absolute true zero point
C. classification by categories
D. equal differences between points on a scale of measurement
5. A scale in which objects are rank ordered according to how much of the attribute they possess.
A. nominal
B. ordinal
C. interval
D. ratio
6. A scale in which objects are rank ordered according to how much of the attribute they possess, with equal space between objects.
A. nominal
B. ordinal
C. interval
D. ratio
7. A scale in which a given attribute is categorized, and numbers are assigned to the categories, but there is no order or level implied among the categories.
A. nominal
B. ordinal
C. interval
D. ratio
8. Rankings of the finishes of competitors in a foot race is an example of a(n) _______.
A. ratio scale
B. ordinal scale
C. interval scale
D. none of the above
9. Length in inches is an example of a(n) _________.
A. ratio scale
B. nominal scale
C. ordinal scale
D. interval scale
10. The most appropriate measure of central tendency for nominal data is the ______.
A. mean
B. median
C. standard deviation
D. mode
11. The variability of a measure is best captured by the _____________.
A. mean and standard deviation
B. range and standard deviation
C. range and median
D. mode and mean
11. The likelihood that a correlation exists in a population, based on knowledge of the actual value of r in a sample from that population is the ____________.
A. practical significance
B. likelihood ratio
C. functional statistic
D. statistical significance
12. Which of the following results represents statistically significance as it is commonly understood?
A. r = .30
B. p < .05
C. r > .10
D. all of the above
13. A z score of 3.0 for a job applicant's score on an aptitude test indicates the applicant ______.
A. achieved a score 3 points higher than the average score
B. received a score 3 standard deviations above the mean score
C. had a score 3 percent higher than the average score
D. had a score plus or minus 3 points relative to the mean score
14. The correlation coefficient expresses _________.
A. causality
B. variance
C. strength of the relationship between two variables
D. the range between two variables
15. A complete lack of correlation between two variables is expressed by a correlation coefficient of _________.
A. .50
B. 1.00
C. -1.00
D. zero
16. The larger the correlation coefficient, _________.
A. the greater the practical significance
B. the smaller its practical significance
C. the larger its range
D. the smaller its statistical significance
17. The proper test to determine that a given sample correlation is statistically significant as an estimate of a correlation in a population is the __________.
A. z score
B. standard deviation
C. squared correlation coefficient
D. the t test
18. Which of the following levels of statistical significance would provide the most confidence that a sample correlation coefficient would not be interpreted as having a relationship in the population, when, in fact, there is no such relationship?
A. .10
B. .50
C. .01
D. .05
19. Reliability of measurement is defined as __________.
A. frequency of measurement
B. magnitude of measurement
C. accuracy of measurement
D. consistency of measurement
20. Which of the following is a true statement?
A. true score divided by error equals actual score
B. actual score equals true score plus error
C. actual score plus error equals true score
D. true score equals variance plus error