Question 1

In a multiple regression analysis, the __________ indicates the extent to which the predictor variables as a group predict the outcome variable.

Accepted Answer

A)  factor scores 
B)  p-value 
C)  multiple correlation coefficient 
D)  regression coefficient 
A)  factor scores 
B)  p-value 
C)  multiple correlation coefficient 
D)  regression coefficient C

Question 2

A __________ analysis is a statistical procedure that is used when more than one nominal variable is used to predict a nominal outcome variable.

Accepted Answer

A)  loglinear 
B)  contrast 
C)  chi-square 
D)  covariance 
A)  loglinear 
B)  contrast 
C)  chi-square 
D)  covariance A

Question 3

Loglinear analysis is a better statistical test than ANOVA when predicting a nominal dependent variable because

Accepted Answer

A)  p-values are always lower in ANOVA. 
B)  ANOVA should only be used when the dependent variable has an approximately normal distribution. 
C)  loglinear analysis is easier to compute. 
D)  loglinear analysis creates more Type 2 errors. 
A)  p-values are always lower in ANOVA. 
B)  ANOVA should only be used when the dependent variable has an approximately normal distribution. 
C)  loglinear analysis is easier to compute. 
D)  loglinear analysis creates more Type 2 errors. B

Question 4

Which of the following designs would be most likely to utilize an exploratory factor analysis?

Accepted Answer

A)  A study predicting a measure of conformity during emergency situations 
B)  A study that has measured a number of personality characteristics related to helping 
C)  A one-way experimental design with one dependent measure of helping 
D)  A study assessing a measure of helping behavior across cultures 
A)  A study predicting a measure of conformity during emergency situations 
B)  A study that has measured a number of personality characteristics related to helping 
C)  A one-way experimental design with one dependent measure of helping 
D)  A study assessing a measure of helping behavior across cultures

Question 5

In which of the following cases would a MANOVA analysis be most appropriate?

Accepted Answer

A)  There is more than one dependent variable. 
B)  All of the variables are continuous. 
C)  The researcher wants to study the relationship between gender and ethnicity. 
D)  A structural equation analysis has already been performed. 
A)  There is more than one dependent variable. 
B)  All of the variables are continuous. 
C)  The researcher wants to study the relationship between gender and ethnicity. 
D)  A structural equation analysis has already been performed.

Question 6

To decrease the likelihood of making a Type 1 error during the means comparison process, a researcher could

Accepted Answer

A)  compare all means within the study. 
B)  eliminate all data that supports the null hypothesis. 
C)  only conduct pairwise comparisons and only if the F value is significant. 
D)  increase alpha. 
A)  compare all means within the study. 
B)  eliminate all data that supports the null hypothesis. 
C)  only conduct pairwise comparisons and only if the F value is significant. 
D)  increase alpha.

Question 7

Factors in a factor analysis are equivalent to __________ in a structural equation analysis.

Accepted Answer

A)  latent variables 
B)  factors 
C)  factor scores 
D)  contrasts 
A)  latent variables 
B)  factors 
C)  factor scores 
D)  contrasts

Question 8

In a multiple regression, R squared indicates

Accepted Answer

A)  the effect size. 
B)  the test of the significance of R. 
C)  the residual degrees of freedom. 
D)  the proportion of the variance in the outcome variable that is accounted for by the predictor variables. 
A)  the effect size. 
B)  the test of the significance of R. 
C)  the residual degrees of freedom. 
D)  the proportion of the variance in the outcome variable that is accounted for by the predictor variables.

Question 9

A(n) ________ is used to analyze the underlying pattern of correlations among a set of measured variables and to reduce the number of variables by extracting a smaller set of factors.

Accepted Answer

A)  exploratory factor analysis 
B)  confirmatory factor analysis 
C)  canonical correlation 
D)  MANOVA 
A)  exploratory factor analysis 
B)  confirmatory factor analysis 
C)  canonical correlation 
D)  MANOVA

Question 10

Which of the following is a type of structural equation analysis?

Accepted Answer

A)  Exploratory factor analysis 
B)  Confirmatory factor analysis 
C)  Canonical correlation 
D)  MANOVA 
A)  Exploratory factor analysis 
B)  Confirmatory factor analysis 
C)  Canonical correlation 
D)  MANOVA

Question 11

Which of the following refers to a multiple regression analysis in which the predictor variables that produce the biggest increase in the multiple R are entered first?

Accepted Answer

A)  Simultaneous multiple regression 
B)  Hierarchical multiple regression 
C)  Stepwise multiple regression 
D)  Covariance multiple regression 
A)  Simultaneous multiple regression 
B)  Hierarchical multiple regression 
C)  Stepwise multiple regression 
D)  Covariance multiple regression

Question 12

A contrast analysis involves

Accepted Answer

A)  computing a correlation coefficient. 
B)  comparing Pearson correlations. 
C)  computing an F value. 
D)  computing beta weights. 
A)  computing a correlation coefficient. 
B)  comparing Pearson correlations. 
C)  computing an F value. 
D)  computing beta weights.

Question 13

Which of the following refers to a multiple regression analysis in which all of the predictor variables are entered in at the same time in order to predict the outcome variable?

Accepted Answer

A)  Simultaneous multiple regression 
B)  Hierarchical multiple regression 
C)  Stepwise multiple regression 
D)  Covariance multiple regression 
A)  Simultaneous multiple regression 
B)  Hierarchical multiple regression 
C)  Stepwise multiple regression 
D)  Covariance multiple regression

Question 14

The effect size statistic for a multiple regression is

Accepted Answer

A)  R. 
B)  R squared. 
C)  the F value. 
D)  the p-value. 
A)  R. 
B)  R squared. 
C)  the F value. 
D)  the p-value.

Question 15

What statistical analysis would be best used to predict levels of overall aggression from knowledge about blood pressure and eating habits?

Accepted Answer

A)  Chi-square 
B)  Pearson correlation 
C)  One-way ANOVA 
D)  Multiple regression 
A)  Chi-square 
B)  Pearson correlation 
C)  One-way ANOVA 
D)  Multiple regression

Question 16

Which of the following can be used to control for the effects of potential confounding variables?

Accepted Answer

A)  Multiple regression 
B)  Pearson correlation 
C)  Confirmatory factor analysis 
D)  Exploratory factor analysis 
A)  Multiple regression 
B)  Pearson correlation 
C)  Confirmatory factor analysis 
D)  Exploratory factor analysis

Question 17

Which of the following means comparison analyses is the most conservative, in the sense that it most reduces the likelihood of making a Type 1 error?

Accepted Answer

A)  A contrast analysis 
B)  The Fisher least significant difference test 
C)  The Scheffé means comparison test 
D)  The Tukey honestly significantly difference test 
A)  A contrast analysis 
B)  The Fisher least significant difference test 
C)  The Scheffé means comparison test 
D)  The Tukey honestly significantly difference test

Question 18

In a multiple regression analysis, which of the following represents the linear relationship between each predictor variable and the outcome variable, controlling for each of the other predictor variables?

Accepted Answer

A)  The intercept 
B)  The regression coefficient 
C)  The factor score 
D)  The multiple R 
A)  The intercept 
B)  The regression coefficient 
C)  The factor score 
D)  The multiple R

Question 19

Which of the following means comparison analyses involves comparing the F comparison to a critical F value that is adjusted to take into consideration the number of possible comparisons?

Accepted Answer

A)  Contrast analysis 
B)  Fisher least significant difference test 
C)  Scheffé means comparison test 
D)  Tukey honestly significantly difference test 
A)  Contrast analysis 
B)  Fisher least significant difference test 
C)  Scheffé means comparison test 
D)  Tukey honestly significantly difference test

Question 20

Means that are not being compared in a contrast analysis are given the contrast weight of

Accepted Answer

A)  +1.00. 
B)  zero. 
C)  -1.00. 
D)  one-half. 
A)  +1.00. 
B)  zero. 
C)  -1.00. 
D)  one-half.

In a multiple regression analysis, the __________ indicates the extent to which the predictor variables as a group predict the outcome variable.

A __________ analysis is a statistical procedure that is used when more than one nominal variable is used to predict a nominal outcome variable.

Loglinear analysis is a better statistical test than ANOVA when predicting a nominal dependent variable because

Which of the following designs would be most likely to utilize an exploratory factor analysis?

In which of the following cases would a MANOVA analysis be most appropriate?

To decrease the likelihood of making a Type 1 error during the means comparison process, a researcher could

Factors in a factor analysis are equivalent to __________ in a structural equation analysis.

In a multiple regression, R squared indicates

A(n) ________ is used to analyze the underlying pattern of correlations among a set of measured variables and to reduce the number of variables by extracting a smaller set of factors.

Which of the following is a type of structural equation analysis?

Which of the following refers to a multiple regression analysis in which the predictor variables that produce the biggest increase in the multiple R are entered first?

A contrast analysis involves

Which of the following refers to a multiple regression analysis in which all of the predictor variables are entered in at the same time in order to predict the outcome variable?

The effect size statistic for a multiple regression is

What statistical analysis would be best used to predict levels of overall aggression from knowledge about blood pressure and eating habits?

Which of the following can be used to control for the effects of potential confounding variables?

Which of the following means comparison analyses is the most conservative, in the sense that it most reduces the likelihood of making a Type 1 error?

In a multiple regression analysis, which of the following represents the linear relationship between each predictor variable and the outcome variable, controlling for each of the other predictor variables?

Which of the following means comparison analyses involves comparing the F comparison to a critical F value that is adjusted to take into consideration the number of possible comparisons?

Means that are not being compared in a contrast analysis are given the contrast weight of

Introduction to Research

Developing the Research Hypothesis

Ethics in Research

Measures

Reliability and Validity

Surveys and Sampling

Naturalistic Methods

Hypothesis Testing and Inferential Statistics

Correlational Research Designs

Experimental Research: One-Way Designs

Experimental Research: Factorial Designs

Experimental Control and Internal Validity

External Validity

Quasi-Experimental Research Designs

Reporting Research Results

Data Preparation and Univariate Statistics

Bivariate Statistics

Filters

Exam 18: Multivariate Statistics

In a multiple regression analysis, the __________ indicates the extent to which the predictor variables as a group predict the outcome variable.

A __________ analysis is a statistical procedure that is used when more than one nominal variable is used to predict a nominal outcome variable.

Loglinear analysis is a better statistical test than ANOVA when predicting a nominal dependent variable because

Which of the following designs would be most likely to utilize an exploratory factor analysis?

In which of the following cases would a MANOVA analysis be most appropriate?

To decrease the likelihood of making a Type 1 error during the means comparison process, a researcher could

Factors in a factor analysis are equivalent to __________ in a structural equation analysis.

In a multiple regression, R squared indicates

A(n) ________ is used to analyze the underlying pattern of correlations among a set of measured variables and to reduce the number of variables by extracting a smaller set of factors.

Which of the following is a type of structural equation analysis?

Which of the following refers to a multiple regression analysis in which the predictor variables that produce the biggest increase in the multiple R are entered first?

A contrast analysis involves

Which of the following refers to a multiple regression analysis in which all of the predictor variables are entered in at the same time in order to predict the outcome variable?

The effect size statistic for a multiple regression is

What statistical analysis would be best used to predict levels of overall aggression from knowledge about blood pressure and eating habits?

Which of the following can be used to control for the effects of potential confounding variables?

Which of the following means comparison analyses is the most conservative, in the sense that it most reduces the likelihood of making a Type 1 error?

In a multiple regression analysis, which of the following represents the linear relationship between each predictor variable and the outcome variable, controlling for each of the other predictor variables?

Which of the following means comparison analyses involves comparing the F comparison to a critical F value that is adjusted to take into consideration the number of possible comparisons?

Means that are not being compared in a contrast analysis are given the contrast weight of

Introduction to Research

Developing the Research Hypothesis

Ethics in Research

Measures

Reliability and Validity

Surveys and Sampling

Naturalistic Methods

Hypothesis Testing and Inferential Statistics

Correlational Research Designs

Experimental Research: One-Way Designs

Experimental Research: Factorial Designs

Experimental Control and Internal Validity

External Validity

Quasi-Experimental Research Designs

Reporting Research Results

Data Preparation and Univariate Statistics

Bivariate Statistics

Filters