Question 1

A ________ variable in multiple regression analysis is analogous to a(n) ________ variable in experimental research.

Accepted Answer

A)  criterion; independent 
B)  predictor; dependent 
C)  predictor; extraneous 
D)  criterion; dependent 
A)  criterion; independent 
B)  predictor; dependent 
C)  predictor; extraneous 
D)  criterion; dependent

Question 2

The term median split refers to

Accepted Answer

A)  including only the scores above the median of the dependent variable in a multiple regression analysis. 
B)  classifying those who score above the median on a measure as high on the construct being measured and those who score below the median as low on the construct. 
C)  reducing multicollinearity by using sample medians rather than sample means when conducting multiple regression analyses. 
D)  splitting a data set into multiple subsamples, running regression analyses in each subsample, and using the median value of each regression coefficient as the best estimate of that coefficient. 
A)  including only the scores above the median of the dependent variable in a multiple regression analysis. 
B)  classifying those who score above the median on a measure as high on the construct being measured and those who score below the median as low on the construct. 
C)  reducing multicollinearity by using sample medians rather than sample means when conducting multiple regression analyses. 
D)  splitting a data set into multiple subsamples, running regression analyses in each subsample, and using the median value of each regression coefficient as the best estimate of that coefficient.

Question 3

You examine the relationship between stress and job performance in a group of employees in an organization you are studying. You find that, up to a point, as stress increases performance also increases, but that after that point, as stress increases performances decreases. Your finding represents a ________ relationship between stress and performance.

Accepted Answer

A)  positive linear 
B)  curvilinear 
C)  negative linear 
D)  polylinear 
A)  positive linear 
B)  curvilinear 
C)  negative linear 
D)  polylinear

Question 4

Explain the assumptions of linearity and additivity as they apply to correlational research.

Accepted Answer

In correlational research, the assumptio

Question 5

In the bivariate regression equation Y = a + bX, the value b is called the

Accepted Answer

A)  slope 
B)  intercept 
C)  variance percentage 
D)  correlation coefficient for the relationship between X and Y 
A)  slope 
B)  intercept 
C)  variance percentage 
D)  correlation coefficient for the relationship between X and Y

Question 6

What is a logistic regression analysis? For what type of data would this analysis be appropriate?

Accepted Answer

Logistic regression analysis is a statis

Question 7

One issue that arises when conducting research with multifaceted constructs as independent variables is whether to treat the facets as separate variables or to combine them into a single variable. It is best to treat the facets as SEPARATE variables when

Accepted Answer

A)  the facets are theoretically or empirically related to differ?ent dependent variables or to different facets of a dependent variable. 
B)  the theory of the construct predicts an interaction among the facets. 
C)  it is convenient to do so. 
D)  a and b, but not c. 
A)  the facets are theoretically or empirically related to differ?ent dependent variables or to different facets of a dependent variable. 
B)  the theory of the construct predicts an interaction among the facets. 
C)  it is convenient to do so. 
D)  a and b, but not c.

Question 8

List four guidelines that should be followed in conducting quality correlational research.

Accepted Answer

1. Clearly define the variables: It is i

Question 9

In a correlational study it is important to have a range of scores in the research sample that is similar to the range of scores in the population. This is because a restricted range of scores

Accepted Answer

A)  is likely to result in high multicollinearity. 
B)  produces observed correlations that greatly underestimate the true correlation between the constructs they measure. 
C)  creates outliers that threaten the statistical conclusion validity of the data analysis. 
D)  is likely to lead to a violation of the assumption of additivity. 
A)  is likely to result in high multicollinearity. 
B)  produces observed correlations that greatly underestimate the true correlation between the constructs they measure. 
C)  creates outliers that threaten the statistical conclusion validity of the data analysis. 
D)  is likely to lead to a violation of the assumption of additivity.

Question 10

Which of the following statements about multicollinearity in multiple regression analysis is/are TRUE?

Accepted Answer

A)  When multicollinearity exists, the computed statistical significance of regression coefficients might be incorrect. 
B)  One way to avoid multicollinearity is to use only one operational definition of any independent variable. 
C)  One way to deal with multicollinearity is to combine highly correlated independent variables into a single variable. 
D)  All of the above are true. 
A)  When multicollinearity exists, the computed statistical significance of regression coefficients might be incorrect. 
B)  One way to avoid multicollinearity is to use only one operational definition of any independent variable. 
C)  One way to deal with multicollinearity is to combine highly correlated independent variables into a single variable. 
D)  All of the above are true.

Question 11

What are outliers? What effect might they have on a correlational analysis?

Accepted Answer

Outliers are data points that differ sig

A variable in multiple regression analysis is analogous to a(n) variable in experimental research.

The term median split refers to

Explain the assumptions of linearity and additivity as they apply to correlational research.

In the bivariate regression equation Y = a + bX, the value b is called the

What is a logistic regression analysis? For what type of data would this analysis be appropriate?

One issue that arises when conducting research with multifaceted constructs as independent variables is whether to treat the facets as separate variables or to combine them into a single variable. It is best to treat the facets as SEPARATE variables when

List four guidelines that should be followed in conducting quality correlational research.

In a correlational study it is important to have a range of scores in the research sample that is similar to the range of scores in the population. This is because a restricted range of scores

Which of the following statements about multicollinearity in multiple regression analysis is/are TRUE?

What are outliers? What effect might they have on a correlational analysis?

Behavioral Science

Research Strategies: an Overview

The Ethical Treatment of Research Participants

The Professional and Social Responsibilities of Scientists

Formulating a Research Question

Developing a Measurement Strategy

The Internal Validity of Research

The External Validity of Research

True Experiments

Field Research

Factor Analysis, Path Analysis, and Structural Equation Modeling

The Single-Case Research Strategy

Qualitative Research and Interviewing, Rachel Kraus, Ball State University

Survey Research

Evaluation Research

Data Collection

Interpreting Research Results

Literature Reviewing

Filters

Exam 11: Correlational Designs

A ________ variable in multiple regression analysis is analogous to a(n) ________ variable in experimental research.

The term median split refers to

Explain the assumptions of linearity and additivity as they apply to correlational research.

In the bivariate regression equation Y = a + bX, the value b is called the

What is a logistic regression analysis? For what type of data would this analysis be appropriate?

One issue that arises when conducting research with multifaceted constructs as independent variables is whether to treat the facets as separate variables or to combine them into a single variable. It is best to treat the facets as SEPARATE variables when

List four guidelines that should be followed in conducting quality correlational research.

In a correlational study it is important to have a range of scores in the research sample that is similar to the range of scores in the population. This is because a restricted range of scores

Which of the following statements about multicollinearity in multiple regression analysis is/are TRUE?

What are outliers? What effect might they have on a correlational analysis?

Behavioral Science

Research Strategies: an Overview

The Ethical Treatment of Research Participants

The Professional and Social Responsibilities of Scientists

Formulating a Research Question

Developing a Measurement Strategy

The Internal Validity of Research

The External Validity of Research

True Experiments

Field Research

Factor Analysis, Path Analysis, and Structural Equation Modeling

The Single-Case Research Strategy

Qualitative Research and Interviewing, Rachel Kraus, Ball State University

Survey Research

Evaluation Research

Data Collection

Interpreting Research Results

Literature Reviewing

Filters

A variable in multiple regression analysis is analogous to a(n) variable in experimental research.