Question 1

Choose the appropriate correlational technique to use
-To describe the strength of the relationship between two variables

Accepted Answer

A)  PPM 
B)  partial correlation 
C)  factor analysis 
D)  canonical correlation 
E)  logistic regression 
A)  PPM 
B)  partial correlation 
C)  factor analysis 
D)  canonical correlation 
E)  logistic regression A

Question 2

Following the use of a principle components analysis, a researcher selected a four-factor solution that explained 75% of the variance in the original items. After a rotational procedure on the four-factor model, how much of the variance would be explained?

Accepted Answer

A)  Less than 75% 
B)  75% 
C)  more than 75% 
D)  Depends on the type of rotation used 
A)  Less than 75% 
B)  75% 
C)  more than 75% 
D)  Depends on the type of rotation used B

Question 3

What is the primary function of factor analysis?

Accepted Answer

A)  To explain the variance in a data set in as concise a manner as possible 
B)  To determine the differences among means of several factors 
C)  To determine significant differences among several dependent variables 
D)  To correct final scores on the basis of assuming initial inequality 
A)  To explain the variance in a data set in as concise a manner as possible 
B)  To determine the differences among means of several factors 
C)  To determine significant differences among several dependent variables 
D)  To correct final scores on the basis of assuming initial inequality A

Question 4

With regard to independent and dependent variables and their levels of measurement, what is the opposite of the discriminant analysis procedure?

Accepted Answer

A)  ANOVA 
B)  Factor analysis 
C)  ANCOVA 
D)  Nonparametric statistics 
A)  ANOVA 
B)  Factor analysis 
C)  ANCOVA 
D)  Nonparametric statistics

Question 5

Choose the appropriate correlational technique to use
-To determine the increased odds of developing heart disease as a function of sedentary lifestyle behaviors and smoking

Accepted Answer

A)  PPM 
B)  partial correlation 
C)  factor analysis 
D)  canonical correlation 
E)  logistic regression 
A)  PPM 
B)  partial correlation 
C)  factor analysis 
D)  canonical correlation 
E)  logistic regression

Question 6

Ultimately, inferential statistics can all be understood conceptually as which type of model?

Accepted Answer

A)  A significance test of differences 
B)  A regression analysis 
C)  A t-test 
D)  An ANOVA 
A)  A significance test of differences 
B)  A regression analysis 
C)  A t-test 
D)  An ANOVA

Question 7

What differentiates logistic regression from other types of regression models?

Accepted Answer

A)  There are multiple independent variables 
B)  There are multiple dependent variables 
C)  There are multiple independent and dependent variables 
D)  The nature of the dependent variable-it is categorical 
A)  There are multiple independent variables 
B)  There are multiple dependent variables 
C)  There are multiple independent and dependent variables 
D)  The nature of the dependent variable-it is categorical

Question 8

What is the major difference between logistic regression (LR) and discriminant analysis (DA)?

Accepted Answer

A)  The number of independent variables is greater in DA. 
B)  The dependent variable has two levels in LR and multiple levels in DA. 
C)  LR can have multiple outcome levels, whereas DA is more limited. 
D)  LR is based on the PPM correlation, and DA is based on the canonical model. 
A)  The number of independent variables is greater in DA. 
B)  The dependent variable has two levels in LR and multiple levels in DA. 
C)  LR can have multiple outcome levels, whereas DA is more limited. 
D)  LR is based on the PPM correlation, and DA is based on the canonical model.

Question 9

Which statistical procedure is most appropriate with a pretest/posttest design?

Accepted Answer

A)  MANOVA, because there are multiple groups 
B)  An independent t-test 
C)  A four-way ANOVA 
D)  ANCOVA 
A)  MANOVA, because there are multiple groups 
B)  An independent t-test 
C)  A four-way ANOVA 
D)  ANCOVA

Question 10

Which statistical test should be used if the dependent variable is in the form of categories reflecting discrete groups?

Accepted Answer

A)  Factor analysis 
B)  Discriminate analysis 
C)  Multiple regression 
D)  ANCOVA 
A)  Factor analysis 
B)  Discriminate analysis 
C)  Multiple regression 
D)  ANCOVA

Question 11

Matching subjects on a potentially confounding variable is one way to remove that variable's influence on the final results of a study. What is another technique to accomplish this?

Accepted Answer

A)  ANCOVA 
B)  One-Way ANOVA 
C)  MANOVA 
D)  Factor analysis 
A)  ANCOVA 
B)  One-Way ANOVA 
C)  MANOVA 
D)  Factor analysis

Question 12

Which statistical test should be used if the dependent variable is in the form of categories reflecting discrete groups?

Accepted Answer

A)  Logistic regression 
B)  Partial regression 
C)  Multiple regression 
D)  Simple regression 
A)  Logistic regression 
B)  Partial regression 
C)  Multiple regression 
D)  Simple regression

Question 13

Which two pieces of information are most helpful in determining what statistical test to employ?

Accepted Answer

A)  The number of levels of the independent variable(s) and the reliability of the measurement for the dependent variable 
B)  The amount of protection required against making a Type I error and the sample size 
C)  The mean of the population sampled and the validity of the criterion measure 
D)  The level of measurement for the independent and dependent variables and the number of independent and dependent variables 
A)  The number of levels of the independent variable(s) and the reliability of the measurement for the dependent variable 
B)  The amount of protection required against making a Type I error and the sample size 
C)  The mean of the population sampled and the validity of the criterion measure 
D)  The level of measurement for the independent and dependent variables and the number of independent and dependent variables

Question 14

A factorial MANCOVA can be considered a "marriage" between which two procedures?

Accepted Answer

A)  MANOVA and ANOVA 
B)  ANOVA and multiple regression 
C)  ANCOVA and MANOVA 
D)  ANOVA and ANCOVA 
A)  MANOVA and ANOVA 
B)  ANOVA and multiple regression 
C)  ANCOVA and MANOVA 
D)  ANOVA and ANCOVA

Question 15

What is the number of degrees of freedom associated with the adjusted sum of squares within an ANCOVA with one covariate?

Accepted Answer

A)  J - 1 
B)  N - J 
C)  N - 2 
D)  N - J - 1 
A)  J - 1 
B)  N - J 
C)  N - 2 
D)  N - J - 1

Question 16

What problem might be reduced through the use of ANCOVA?

Accepted Answer

A)  Unequal loss of subjects from the various treatment groups 
B)  Measurement regression 
C)  Initial difference between treatment groups 
D)  Lack of enough subjects 
A)  Unequal loss of subjects from the various treatment groups 
B)  Measurement regression 
C)  Initial difference between treatment groups 
D)  Lack of enough subjects

Question 17

In which statistical technique is the presence of outliers problematic?

Accepted Answer

A)  ANCOVA 
B)  Multiple regression 
C)  Discriminant analysis 
D)  All of the above 
A)  ANCOVA 
B)  Multiple regression 
C)  Discriminant analysis 
D)  All of the above

Question 18

In general, how does the number of factors resulting from a factor analysis compare to the original number of factored variables?

Accepted Answer

A)  The number of factors is somewhat smaller than the number of original variables. 
B)  The number of factors is less than the number of original variables. 
C)  It depends on the number of subjects-to-variables ratio. 
D)  None of the above is correct. 
A)  The number of factors is somewhat smaller than the number of original variables. 
B)  The number of factors is less than the number of original variables. 
C)  It depends on the number of subjects-to-variables ratio. 
D)  None of the above is correct.

Question 19

Of the following statistical procedures, which one "contains" all of the others?

Accepted Answer

A)  Pearson correlation 
B)  Canonical correlation 
C)  Discriminant analysis 
D)  Multiple regression 
A)  Pearson correlation 
B)  Canonical correlation 
C)  Discriminant analysis 
D)  Multiple regression

Question 20

Which variables are involved in a multiple regression?

Accepted Answer

A)  Multiple independent variables 
B)  Multiple dependent variables 
C)  Both multiple independent and dependent variables 
D)  Could be either independent or dependent variables, depending on the model used 
A)  Multiple independent variables 
B)  Multiple dependent variables 
C)  Both multiple independent and dependent variables 
D)  Could be either independent or dependent variables, depending on the model used

Choose the appropriate correlational technique to use -To describe the strength of the relationship between two variables

Following the use of a principle components analysis, a researcher selected a four-factor solution that explained 75% of the variance in the original items. After a rotational procedure on the four-factor model, how much of the variance would be explained?

What is the primary function of factor analysis?

With regard to independent and dependent variables and their levels of measurement, what is the opposite of the discriminant analysis procedure?

Choose the appropriate correlational technique to use -To determine the increased odds of developing heart disease as a function of sedentary lifestyle behaviors and smoking

Ultimately, inferential statistics can all be understood conceptually as which type of model?

What differentiates logistic regression from other types of regression models?

What is the major difference between logistic regression (LR) and discriminant analysis (DA)?

Which statistical procedure is most appropriate with a pretest/posttest design?

Which statistical test should be used if the dependent variable is in the form of categories reflecting discrete groups?

Matching subjects on a potentially confounding variable is one way to remove that variable's influence on the final results of a study. What is another technique to accomplish this?

Which statistical test should be used if the dependent variable is in the form of categories reflecting discrete groups?

Which two pieces of information are most helpful in determining what statistical test to employ?

A factorial MANCOVA can be considered a "marriage" between which two procedures?

What is the number of degrees of freedom associated with the adjusted sum of squares within an ANCOVA with one covariate?

What problem might be reduced through the use of ANCOVA?

In which statistical technique is the presence of outliers problematic?

In general, how does the number of factors resulting from a factor analysis compare to the original number of factored variables?

Of the following statistical procedures, which one "contains" all of the others?

Which variables are involved in a multiple regression?

Research Methods

Introduction to Measurement and Statistics

Descriptive Statistics

The Normal Curve and Standard Scores

Correlation and Regression

Introduction to Inferential Statistics

Two-Sample T-Test

Issues in Inferential Statistics

One-Way Between-Groups Anova

One-Way Within-Groups Anova

Factorial Anova

Multivariate Anova Manova

Nonparametric Statistics

Filters

Exam 13: Advanced Statistics

Choose the appropriate correlational technique to use -To describe the strength of the relationship between two variables

Following the use of a principle components analysis, a researcher selected a four-factor solution that explained 75% of the variance in the original items. After a rotational procedure on the four-factor model, how much of the variance would be explained?

What is the primary function of factor analysis?

With regard to independent and dependent variables and their levels of measurement, what is the opposite of the discriminant analysis procedure?

Choose the appropriate correlational technique to use -To determine the increased odds of developing heart disease as a function of sedentary lifestyle behaviors and smoking

Ultimately, inferential statistics can all be understood conceptually as which type of model?

What differentiates logistic regression from other types of regression models?

What is the major difference between logistic regression (LR) and discriminant analysis (DA)?

Which statistical procedure is most appropriate with a pretest/posttest design?

Which statistical test should be used if the dependent variable is in the form of categories reflecting discrete groups?

Matching subjects on a potentially confounding variable is one way to remove that variable's influence on the final results of a study. What is another technique to accomplish this?

Which statistical test should be used if the dependent variable is in the form of categories reflecting discrete groups?

Which two pieces of information are most helpful in determining what statistical test to employ?

A factorial MANCOVA can be considered a "marriage" between which two procedures?

What is the number of degrees of freedom associated with the adjusted sum of squares within an ANCOVA with one covariate?

What problem might be reduced through the use of ANCOVA?

In which statistical technique is the presence of outliers problematic?

In general, how does the number of factors resulting from a factor analysis compare to the original number of factored variables?

Of the following statistical procedures, which one "contains" all of the others?

Which variables are involved in a multiple regression?

Research Methods

Introduction to Measurement and Statistics

Descriptive Statistics

The Normal Curve and Standard Scores

Correlation and Regression

Introduction to Inferential Statistics

Two-Sample T-Test

Issues in Inferential Statistics

One-Way Between-Groups Anova

One-Way Within-Groups Anova

Factorial Anova

Multivariate Anova Manova

Nonparametric Statistics

Filters