Question 1

Which of the following is true of correlations?

Accepted Answer

A)  They cannot be used to determine statistical significance. 
B)  They provide the basis for transforming observations to scales. 
C)  They are particularly useful with nominal scales. 
D)  They describe the direction and magnitude of relationships between two variables. 
A)  They cannot be used to determine statistical significance. 
B)  They provide the basis for transforming observations to scales. 
C)  They are particularly useful with nominal scales. 
D)  They describe the direction and magnitude of relationships between two variables.

Question 2

Which of the following four pairs of numbers describes a correlation that is very close to .0?

Accepted Answer

A)  (2,4),(4,8),(0,0),(-2,-4) 
B)  (0,0),(1,1),(2,4),(3,9) 
C)  (4,3),(2,-1),(-2,-9),(0,-5) 
D)  (4,-9),(2,-1),(-2,-2),(0,-5) 
A)  (2,4),(4,8),(0,0),(-2,-4) 
B)  (0,0),(1,1),(2,4),(3,9) 
C)  (4,3),(2,-1),(-2,-9),(0,-5) 
D)  (4,-9),(2,-1),(-2,-2),(0,-5)

Question 3

If the coefficient of determination is 0.49,what is the correlation coefficient?

Accepted Answer

A)  0.24 
B)  0.51 
C)  0.70 
D)  0.89 
A)  0.24 
B)  0.51 
C)  0.70 
D)  0.89

Question 4

The relationship between TV viewing and aggressive behavior might be influenced by poor social adjustment.Social adjustment here is regarded as a(n)____ problem.

Accepted Answer

A)  restricted range 
B)  shrinkage 
C)  third variable 
D)  lack of linearity 
A)  restricted range 
B)  shrinkage 
C)  third variable 
D)  lack of linearity

Question 5

If the correlation between X and Y is .60 and we observe a score of 1.0 (Z units)on X,what score would be predicted for Y?

Accepted Answer

A)  -1.2 
B)  0 
C)  0.6 
D)  1.6 
A)  -1.2 
B)  0 
C)  0.6 
D)  1.6

Question 6

The coefficient of alienation is the

Accepted Answer

A)  squared correlation coefficient. 
B)  index of variation in Y not explained by its relationship to X. 
C)  standard deviation of the residuals. 
D)  square root of the standard deviation. 
A)  squared correlation coefficient. 
B)  index of variation in Y not explained by its relationship to X. 
C)  standard deviation of the residuals. 
D)  square root of the standard deviation.

Question 7

The observation that Y decreases as X increases suggests

Accepted Answer

A)  a positive correlation. 
B)  no correlation. 
C)  a negative correlation. 
D)  a curvilinear correlation. 
A)  a positive correlation. 
B)  no correlation. 
C)  a negative correlation. 
D)  a curvilinear correlation.

Question 8

The difference between the predicted value of Y and the observed value is called the

Accepted Answer

A)  standard deviation. 
B)  standard error of the mean. 
C)  residual. 
D)  factor score. 
A)  standard deviation. 
B)  standard error of the mean. 
C)  residual. 
D)  factor score.

Question 9

Each point on a scatter diagram represents

Accepted Answer

A)  the variance of a set of scores. 
B)  the standard deviation of a set of scores. 
C)  where an individual scored compared to the mean. 
D)  where an individual scored on both x and y. 
A)  the variance of a set of scores. 
B)  the standard deviation of a set of scores. 
C)  where an individual scored compared to the mean. 
D)  where an individual scored on both x and y.

Question 10

X and Y correlate .8.What is the coefficient of alienation of this relation?

Accepted Answer

A)  0 
B)  .20 
C)  .60 
D)  .80 
A)  0 
B)  .20 
C)  .60 
D)  .80

Question 11

Suppose that X is used to predict Y and that both are in Z-score form.Which of the following is always true regarding the predicted Y score?

Accepted Answer

A)  It is larger than the obtained X score. 
B)  It is smaller than the X score. 
C)  It is closer to 0 than the obtained Y score. 
D)  It is closer to 0 than the X score. 
A)  It is larger than the obtained X score. 
B)  It is smaller than the X score. 
C)  It is closer to 0 than the obtained Y score. 
D)  It is closer to 0 than the X score.

Question 12

A scatter diagram is

Accepted Answer

A)  a bivariate plot of individual data points. 
B)  a univariate plot of individual data points. 
C)  a form of the stem and leaf display. 
D)  a method for calculating variance. 
A)  a bivariate plot of individual data points. 
B)  a univariate plot of individual data points. 
C)  a form of the stem and leaf display. 
D)  a method for calculating variance.

Question 13

Which of the following describes the relationship between a true dichotomous variable and a continuous variable?

Accepted Answer

A)  Spearman's rho 
B)  point biserial correlation 
C)  Pearson product-moment 
D)  the phi coefficient 
A)  Spearman's rho 
B)  point biserial correlation 
C)  Pearson product-moment 
D)  the phi coefficient

Question 14

Suppose we wanted to predict success in graduate school on the basis of undergraduate G.P.A.,IQ,and professor ratings.The statistical method that would be most useful is

Accepted Answer

A)  bivariate correlation. 
B)  Spearman's rho. 
C)  multiple regression. 
D)  factor analysis. 
A)  bivariate correlation. 
B)  Spearman's rho. 
C)  multiple regression. 
D)  factor analysis.

Question 15

The observation that the preference for watching TV shows depicting violence is correlated -.86 with altruism suggests

Accepted Answer

A)  TV violence causes altruistic behavior. 
B)  altruistic behavior causes a preference for TV violence. 
C)  increases in altruism are associated with decreases in preference for violent programs. 
D)  there is no relationship between TV preference and altruism. 
A)  TV violence causes altruistic behavior. 
B)  altruistic behavior causes a preference for TV violence. 
C)  increases in altruism are associated with decreases in preference for violent programs. 
D)  there is no relationship between TV preference and altruism.

Question 16

What is the difference between correlation and regression?

Accepted Answer

A)  Regression requires standardized units,while correlation does not. 
B)  Correlation is the same thing as regression except that the scores are in standardized units. 
C)  In regression,scores on the Y axis regress toward the mean,while in correlation they do not. 
D)  In correlation,scores on the Y axis regress toward the mean,while in regression they do not. 
A)  Regression requires standardized units,while correlation does not. 
B)  Correlation is the same thing as regression except that the scores are in standardized units. 
C)  In regression,scores on the Y axis regress toward the mean,while in correlation they do not. 
D)  In correlation,scores on the Y axis regress toward the mean,while in regression they do not.

Question 17

A regression equation was derived from a small sample in which X and Y correlated .6. The equation is Y´ = 6X + 15. Suppose this equation were applied to a second sample. It is likely that the correlation between the scores predicted from this equation and the observed scores will be

Accepted Answer

A) 	0. 
B) 	less than 0.6. 
C) 	approximately 0.6. 
D) 	greater than 0.6. 
A) 	0. 
B) 	less than 0.6. 
C) 	approximately 0.6. 
D) 	greater than 0.6.

Question 18

In the linear equation Y´ = a + bX,"a" is called

Accepted Answer

A)  the regression coefficient. 
B)  the intercept. 
C)  the actual score. 
D)  the predicted score. 
A)  the regression coefficient. 
B)  the intercept. 
C)  the actual score. 
D)  the predicted score.

Question 19

The correlation equals +1 for which of the following four pairs of numbers?

Accepted Answer

A)  (2,4),(4,8),(0,0),(-2,-4) 
B)  (0,0),(1,1),(2,4),(3,9) 
C)  (4,3),(2,-1),(-2,-9),(0,-5) 
D)  (4,-9),(2,-1),(-2,-2),(0,-5) 
A)  (2,4),(4,8),(0,0),(-2,-4) 
B)  (0,0),(1,1),(2,4),(3,9) 
C)  (4,3),(2,-1),(-2,-9),(0,-5) 
D)  (4,-9),(2,-1),(-2,-2),(0,-5)

Question 20

The primary purpose of a factor analysis is to

Accepted Answer

A)  determine the relationship between variables. 
B)  reduce a larger set of variables to a smaller composite set. 
C)  insure that proper inferences are being made. 
D)  determine the degree of non-association between variables. 
A)  determine the relationship between variables. 
B)  reduce a larger set of variables to a smaller composite set. 
C)  insure that proper inferences are being made. 
D)  determine the degree of non-association between variables.

Exam 3: Correlation and Regression

Which of the following is true of correlations?

Which of the following four pairs of numbers describes a correlation that is very close to .0?

If the coefficient of determination is 0.49,what is the correlation coefficient?

The relationship between TV viewing and aggressive behavior might be influenced by poor social adjustment.Social adjustment here is regarded as a(n)____ problem.

If the correlation between X and Y is .60 and we observe a score of 1.0 (Z units)on X,what score would be predicted for Y?

The coefficient of alienation is the

The observation that Y decreases as X increases suggests

The difference between the predicted value of Y and the observed value is called the

Each point on a scatter diagram represents

X and Y correlate .8.What is the coefficient of alienation of this relation?

Suppose that X is used to predict Y and that both are in Z-score form.Which of the following is always true regarding the predicted Y score?

A scatter diagram is

Which of the following describes the relationship between a true dichotomous variable and a continuous variable?

Suppose we wanted to predict success in graduate school on the basis of undergraduate G.P.A.,IQ,and professor ratings.The statistical method that would be most useful is

The observation that the preference for watching TV shows depicting violence is correlated -.86 with altruism suggests

What is the difference between correlation and regression?

A regression equation was derived from a small sample in which X and Y correlated .6. The equation is Y´ = 6X + 15. Suppose this equation were applied to a second sample. It is likely that the correlation between the scores predicted from this equation and the observed scores will be

In the linear equation Y´ = a + bX,"a" is called

The correlation equals +1 for which of the following four pairs of numbers?

The primary purpose of a factor analysis is to

Introduction

Norms and Basic Statistics for Testing

Reliability

Validity

Writing and Evaluating Test Items

Test Administration

Interviewing Techniques

Theories of Intelligence and the Binet Scales

The Wechsler Intelligence Scales: Wais-Iv, wisc-Iv, and Wppsi-Iii

Other Individual Tests of Ability in Education and Special Education

Standardized Tests in Education, civil Service, and the Military

Applications in Clinical and Counseling Settings

Projective Personality Tests

Computers and Basic Psychological Science in Testing

Testing in Counseling Psychology

Testing in Health Psychology and Health Care

Testing in Industrial and Business Settings

Test Bias

Testing and the Law

Ethics and the Future of Psychological Testing

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