Test Scores and Norms multiple choice questions Flashcards
1 Raw scores and linear transformed scores based on them have A the same mean B the same standard deviation C the same relationship among scores D the same range
C the same relationship among scores
2 Transforming scores on psychological tests is done primarily to A protect the privacy of the test taker B aid interpretation of the scores C make the scores more manageable D make the scores available for research
B aid interpretation of the scores
3 Criterion referencing of test scores
A provides direct access to their meaning
B is only the first step in giving them meaning
C is always done with psychological tests
D applies properties of the normal curve
A provides direct access to their meaning
4 Norm referencing of test scores
A compares scores among test takers
B requires data gathering with a reasonably large sample
C has been used since the early history of psychological testing
D all of the above
D all of the above
5 Non-linear transformations of test scores
A do not make use of the equation for a straight line
B are inferior to a linear transformation
C preserve all the features of the original scores
D are seldom used with modern psychological tests
A do not make use of the equation for a straight line
6 A T score transformation
A gives rise to a distribution of scores with a mean of 50 and a standard deviation of
10
B has the same mean as the original distribution of raw scores
C is derived using a non-linear transformation
D is named after Terman, who was the first to use the transformation
A gives rise to a distribution of scores with a mean of 50 and a standard deviation of
10
7 Percentiles
A is another name for scores expressed as per cent correct
B express the person’s score in terms of where it lies in a distribution of scores
C are only used when other transformations are not possible
D provide a normal distribution of scores
B express the person’s score in terms of where it lies in a distribution of scores
8 z scores
A can be computed when either an estimate of the mean or an estimate of the
standard deviation is available
B require access to a table of the normal curve for their calculation
C were used by Wechsler in the first edition of his test of intelligence
D are rarely used in scoring psychological tests
C were used by Wechsler in the first edition of his test of intelligence
9 Which of the following is not a linear transformation? A stanine score B T score C z score D standard score
A stanine score
10 What proportion of scores in a normal distribution lie above a z score of 1? A 50 per cent B 16 per cent C 25 per cent D 10 per cent
B 16 per cent
11 If a z score of 1.33 is obtained we know that the person’s raw score
A is above average
B is lower than the scores of most others on the test
C is about average
D falls at the 84th percentile
A is above average
12 A score higher than 65 on an MMPI scale is of interest because
A most people obtain scores in that range
B clinical experience suggests that it is
C it is more than 1.5 standard deviations above the mean
D it is well above the 50 per cent correct mark
C it is more than 1.5 standard deviations above the mean
13 Percentiles can be calculated in a number of ways. Which of the following is not a way
of calculating a percentile?
A graphically from a plot of the cumulative distribution of scores
B by formula
C from tables of the normal curve
D from the equation of a straight line
D from the equation of a straight line
14 Because normalised standard scores follow a normal distribution they
A preserve the differences among the original raw scores
B have the same mean as the original raw score distribution
C are attractive to test constructors
D do not require the use of the normal curve for their interpretation
C are attractive to test constructors
15 A score of 115 on a version of Wechsler’s test of intelligence means that the score
A is well below average
B is one standard deviation above the average score on that version
C is equivalent to a z score of 1.115
D has a percentile rank of 15
B is one standard deviation above the average score