Question 1

Suzanne reported a correlation between reading ability and math grades of r = .90 in the first grade. This correlation indicates that in Suzanne's study

Accepted Answer

A)  reading ability is strongly related to math grades. 
B)  reading and math grades are independent. 
C)  reading ability and math grades are mutually exclusive. 
D)  reading ability and math grades are moderately related. 
A)  reading ability is strongly related to math grades. 
B)  reading and math grades are independent. 
C)  reading ability and math grades are mutually exclusive. 
D)  reading ability and math grades are moderately related.

Question 2

Cheryl used age, education, and income to predict scores on a life satisfaction survey. Her regression equation accounted for 58% of the variance in life satisfaction. She collects a new sample and applies her equation. This process is referred to as

Accepted Answer

A)  discriminate testing. 
B)  sample attenuation. 
C)  regression reliability. 
D)  cross-validation. 
A)  discriminate testing. 
B)  sample attenuation. 
C)  regression reliability. 
D)  cross-validation.

Question 3

Of the following, which is most likely an example of a correlational study?

Accepted Answer

A)  A study that indicated differences in GPA between ROTC and non ROTC students. 
B)  A study that examines organizational variables that predict retention of special education teachers. 
C)  A study that examines characteristics of exchange student host families. 
D)  A study that examines the effect of overt displays of teacher empathy on student class behavior. 
A)  A study that indicated differences in GPA between ROTC and non ROTC students. 
B)  A study that examines organizational variables that predict retention of special education teachers. 
C)  A study that examines characteristics of exchange student host families. 
D)  A study that examines the effect of overt displays of teacher empathy on student class behavior.

Question 4

Which of the following measures is used when the criterion variable in a prediction study is categorical?

Accepted Answer

A)  Multiple regression 
B)  Path analysis 
C)  Discriminate function analysis 
D)  Canonical correlation 
A)  Multiple regression 
B)  Path analysis 
C)  Discriminate function analysis 
D)  Canonical correlation

Question 5

Correlation studies must include

Accepted Answer

A)  two or more levels of independent variable. 
B)  two or more quantifiable variables. 
C)  three or more variables and two groups. 
D)  one independent variable and two dependent variables. 
A)  two or more levels of independent variable. 
B)  two or more quantifiable variables. 
C)  three or more variables and two groups. 
D)  one independent variable and two dependent variables.

Question 6

George suspects that there is a curvilinear relationship in his data set. Which of the following correlation coefficient should George calculate?

Accepted Answer

A)  Pearson 
B)  Eta 
C)  Kendall's tau 
D)  Spearman rho 
A)  Pearson 
B)  Eta 
C)  Kendall's tau 
D)  Spearman rho

Question 7

Generally, when more variables are added to a prediction equation

Accepted Answer

A)  more variance in the criterion variable is accounted for. 
B)  more variance in the predictor variables are accounted for. 
C)  less variance in the criterion variable is accounted for. 
D)  less variance in the predictor variable is accounted for. 
A)  more variance in the criterion variable is accounted for. 
B)  more variance in the predictor variables are accounted for. 
C)  less variance in the criterion variable is accounted for. 
D)  less variance in the predictor variable is accounted for.

Question 8

Which of the following correlation coefficients best represents the plot below?

Accepted Answer

A)  -.45 
B)  -.25 
C)  .15 
D)  .75 
A)  -.45 
B)  -.25 
C)  .15 
D)  .75

Question 9

When considering the use of Spearman rho or Pearson r for use with a small sample of less than 30.

Accepted Answer

A)  Spearman's rho is more accurate than Pearson r 
B)  Spearman's rho is easier to calculate. 
C)  Pearson r is the appropriate measure to use. 
D)  Pearson r is easier to calculate. 
A)  Spearman's rho is more accurate than Pearson r 
B)  Spearman's rho is easier to calculate. 
C)  Pearson r is the appropriate measure to use. 
D)  Pearson r is easier to calculate.

Question 10

Joni teaches a preschool class. She has eight students and ranks them based upon math and reading ability. She would like to see if there is a relationship between how well her students are ranked in math and in reading. Which of the following correlations should she use?

Accepted Answer

A)  Kendall's tau 
B)  Phi coefficient 
C)  Biserial 
D)  Eta 
A)  Kendall's tau 
B)  Phi coefficient 
C)  Biserial 
D)  Eta

Suzanne reported a correlation between reading ability and math grades of r = .90 in the first grade. This correlation indicates that in Suzanne's study

Cheryl used age, education, and income to predict scores on a life satisfaction survey. Her regression equation accounted for 58% of the variance in life satisfaction. She collects a new sample and applies her equation. This process is referred to as

Of the following, which is most likely an example of a correlational study?

Which of the following measures is used when the criterion variable in a prediction study is categorical?

Correlation studies must include

George suspects that there is a curvilinear relationship in his data set. Which of the following correlation coefficient should George calculate?

Generally, when more variables are added to a prediction equation

Which of the following correlation coefficients best represents the plot below?

When considering the use of Spearman rho or Pearson r for use with a small sample of less than 30.

Joni teaches a preschool class. She has eight students and ranks them based upon math and reading ability. She would like to see if there is a relationship between how well her students are ranked in math and in reading. Which of the following correlations should she use?

Introduction to Educational Research

Selecting and Defining a Research Topic

Reviewing the Literature

Preparing and Evaluating a Research Plan

Selecting a Sample

Selecting Measurement Instruments

Survey Research

Causal-Comparative Research

Experimental Research

Single-Subject Experimental Research

Narrative Research

Ethnographic Research

Case Study Research

Mixed Methods Research

Action Research

Descriptive Statistics

Inferential Statistics

Qualitative Data Collection

Qualitative Data Analysis and Interpretation

Preparing a Research Report

Evaluating a Research Report

Filters

Exam 8: Correlational Research

Suzanne reported a correlation between reading ability and math grades of r = .90 in the first grade. This correlation indicates that in Suzanne's study

Cheryl used age, education, and income to predict scores on a life satisfaction survey. Her regression equation accounted for 58% of the variance in life satisfaction. She collects a new sample and applies her equation. This process is referred to as

Of the following, which is most likely an example of a correlational study?

Which of the following measures is used when the criterion variable in a prediction study is categorical?

Correlation studies must include

George suspects that there is a curvilinear relationship in his data set. Which of the following correlation coefficient should George calculate?

Generally, when more variables are added to a prediction equation

Which of the following correlation coefficients best represents the plot below?

When considering the use of Spearman rho or Pearson r for use with a small sample of less than 30.

Joni teaches a preschool class. She has eight students and ranks them based upon math and reading ability. She would like to see if there is a relationship between how well her students are ranked in math and in reading. Which of the following correlations should she use?

Introduction to Educational Research

Selecting and Defining a Research Topic

Reviewing the Literature

Preparing and Evaluating a Research Plan

Selecting a Sample

Selecting Measurement Instruments

Survey Research

Causal-Comparative Research

Experimental Research

Single-Subject Experimental Research

Narrative Research

Ethnographic Research

Case Study Research

Mixed Methods Research

Action Research

Descriptive Statistics

Inferential Statistics

Qualitative Data Collection

Qualitative Data Analysis and Interpretation

Preparing a Research Report

Evaluating a Research Report

Filters