Question 1

Matching
-Factor analysis

Accepted Answer

A)  2 or more predictor variables 
B)  Causal connection among 3+ variables 
C)  "Clusters of correlated variables 
D)  Criterion variable is categorical 
E)  A decimal from -1.00 to +1.03 
A)  2 or more predictor variables 
B)  Causal connection among 3+ variables 
C)  "Clusters of correlated variables 
D)  Criterion variable is categorical 
E)  A decimal from -1.00 to +1.03

Question 2

In correlational research, the criterion variable is the variable about which the prediction is made.

Accepted Answer

A) True 
 B)False

Question 3

When the correlation between two variables is high, we know that:

Accepted Answer

A)  one variable has at least a small amount of causal influence on the other 
B)  both variables are the result of a common influence 
C)  the variables are independent 
D)  none of the above is necessarily true 
A)  one variable has at least a small amount of causal influence on the other 
B)  both variables are the result of a common influence 
C)  the variables are independent 
D)  none of the above is necessarily true

Question 4

Multiple regression is a technique for:

Accepted Answer

A)  eliminating the effect of extraneous variables in a correlational study 
B)  adjusting scores for a data collector threat 
C)  predicting a criterion from two or more predictors in combination 
D)  reviving childhood memories 
A)  eliminating the effect of extraneous variables in a correlational study 
B)  adjusting scores for a data collector threat 
C)  predicting a criterion from two or more predictors in combination 
D)  reviving childhood memories

Question 5

The standard error of estimate is an index that estimates the degree to which the predicted score in a prediction equation is likely to be incorrect.

Accepted Answer

A) True 
 B)False

Question 6

Matching
-Path analysis

Accepted Answer

A)  2 or more predictor variables 
B)  Causal connection among 3+ variables 
C)  "Clusters of correlated variables 
D)  Criterion variable is categorical 
E)  A decimal from -1.00 to +1.04 
A)  2 or more predictor variables 
B)  Causal connection among 3+ variables 
C)  "Clusters of correlated variables 
D)  Criterion variable is categorical 
E)  A decimal from -1.00 to +1.04

Question 7

Matching
-Multiple regression

Accepted Answer

A)  2 or more predictor variables 
B)  Causal connection among 3+ variables 
C)  "Clusters of correlated variables 
D)  Criterion variable is categorical 
E)  A decimal from -1.00 to +1.00 
A)  2 or more predictor variables 
B)  Causal connection among 3+ variables 
C)  "Clusters of correlated variables 
D)  Criterion variable is categorical 
E)  A decimal from -1.00 to +1.00

Question 8

Discriminant function analysis is used to:

Accepted Answer

A)  reduce the number of variables to a more manageable level 
B)  simplify the calculation of a multiple correlation coefficient 
C)  predict group membership from two or more quantitative variables 
D)  describe the relationships among several categorical variables 
A)  reduce the number of variables to a more manageable level 
B)  simplify the calculation of a multiple correlation coefficient 
C)  predict group membership from two or more quantitative variables 
D)  describe the relationships among several categorical variables

Question 9

A researcher studied the relationship between the use of alcohol and grades in college. She found that a larger proportion of drinkers received low grades than did teetotalers. She should conclude that:

Accepted Answer

A)  bad grades drive students to drink 
B)  drinking causes bad grades 
C)  drinking habits and grades are related 
D)  drinking habits and grades are unrelated 
A)  bad grades drive students to drink 
B)  drinking causes bad grades 
C)  drinking habits and grades are related 
D)  drinking habits and grades are unrelated

Matching -Factor analysis

In correlational research, the criterion variable is the variable about which the prediction is made.

When the correlation between two variables is high, we know that:

Multiple regression is a technique for:

The standard error of estimate is an index that estimates the degree to which the predicted score in a prediction equation is likely to be incorrect.

Matching -Path analysis

Matching -Multiple regression

Discriminant function analysis is used to:

A researcher studied the relationship between the use of alcohol and grades in college. She found that a larger proportion of drinkers received low grades than did teetotalers. She should conclude that:

The Nature of Research

The Research Problem

Locating and Reviewing the Literature

Ethics and Research

Variables and Hypotheses

Sampling

Instrumentation

Validity and Reliability

Internal Validity

Descriptive Statistics

Inferential Statistics

Statistics in Perspective

Experimental Research

Single-Subject Research

Causal-Comparative Research

Survey Research

The Nature of Qualitative Research

Observation and Interviewing

Content Analysis

Ethnographic Research

Historical Research

Mixed-Methods Research

Action Research

Preparing Research Proposals and Reports

Filters

Exam 15: Correlational Research

Matching -Factor analysis

In correlational research, the criterion variable is the variable about which the prediction is made.

When the correlation between two variables is high, we know that:

Multiple regression is a technique for:

The standard error of estimate is an index that estimates the degree to which the predicted score in a prediction equation is likely to be incorrect.

Matching -Path analysis

Matching -Multiple regression

Discriminant function analysis is used to:

A researcher studied the relationship between the use of alcohol and grades in college. She found that a larger proportion of drinkers received low grades than did teetotalers. She should conclude that:

The Nature of Research

The Research Problem

Locating and Reviewing the Literature

Ethics and Research

Variables and Hypotheses

Sampling

Instrumentation

Validity and Reliability

Internal Validity

Descriptive Statistics

Inferential Statistics

Statistics in Perspective

Experimental Research

Single-Subject Research

Causal-Comparative Research

Survey Research

The Nature of Qualitative Research

Observation and Interviewing

Content Analysis

Ethnographic Research

Historical Research

Mixed-Methods Research

Action Research

Preparing Research Proposals and Reports

Filters