Question 1

Most studies in the social sciences set the significance level of a hypothesis test at:

Accepted Answer

A)  1% 
B)  5% 
C)  10% 
D)  50% 
A)  1% 
B)  5% 
C)  10% 
D)  50% B

Question 2

A correlation coefficient of 0.9 between two variables can be interpreted as:

Accepted Answer

A)  strong positive linear relationship 
B)  moderate positive linear relationship 
C)  no linear relationship 
D)  correlation coefficients cannot be greater than 0.5 
A)  strong positive linear relationship 
B)  moderate positive linear relationship 
C)  no linear relationship 
D)  correlation coefficients cannot be greater than 0.5 A

Question 3

Cross tabulation assesses the relationship between:

Accepted Answer

A)  four variables with nominal measurement 
B)  four variables with ordinal measurement 
C)  two variables with nominal measurement 
D)  two variables with ordinal measurement 
A)  four variables with nominal measurement 
B)  four variables with ordinal measurement 
C)  two variables with nominal measurement 
D)  two variables with ordinal measurement C

Question 4

Which bivariate analysis is most appropriate for the following two variables: registered to vote (yes/no) and life satisfaction (from 1, not satisfied to 10, very satisfied)?

Accepted Answer

A)  Difference of means 
B)  Correlation coefficient 
C)  Descriptive statistics 
D)  Data analysis 
A)  Difference of means 
B)  Correlation coefficient 
C)  Descriptive statistics 
D)  Data analysis

Question 5

The null hypothesis for the difference of means test:

Accepted Answer

A)  posits that there will be a significant difference in the averages for the dependent variable for two groups of the independent variable 
B)  posits that one group will have a higher average than another on the dependent variable 
C)  is always significant 
D)  posits that the difference in the averages for the dependent variable for two groups of the independent variable is 0 
A)  posits that there will be a significant difference in the averages for the dependent variable for two groups of the independent variable 
B)  posits that one group will have a higher average than another on the dependent variable 
C)  is always significant 
D)  posits that the difference in the averages for the dependent variable for two groups of the independent variable is 0

Question 6

Which of the following is an example of bivariate analysis?

Accepted Answer

A)  Descriptive statistics 
B)  Multiple regression analysis 
C)  Correlation coefficient 
D)  Summary statistics 
A)  Descriptive statistics 
B)  Multiple regression analysis 
C)  Correlation coefficient 
D)  Summary statistics

Question 7

Which of the following investigates the relationships between two or more variables?

Accepted Answer

A)  Data analysis 
B)  Descriptive statistics 
C)  Regression coefficient 
D)  Frequency distribution 
A)  Data analysis 
B)  Descriptive statistics 
C)  Regression coefficient 
D)  Frequency distribution

Question 8

A correlation coefficient of 0 implies:

Accepted Answer

A)  an inverse relationship 
B)  a positive relationship 
C)  no correlation 
D)  a significant difference of means between two groups 
A)  an inverse relationship 
B)  a positive relationship 
C)  no correlation 
D)  a significant difference of means between two groups

Question 9

A p-value greater than 0.05 would support:

Accepted Answer

A)  the research hypothesis 
B)  the null hypothesis 
C)  a difference of means 
D)  an inverse correlation 
A)  the research hypothesis 
B)  the null hypothesis 
C)  a difference of means 
D)  an inverse correlation

Question 10

The p-value can be defined as the probability of observing a result when the:

Accepted Answer

A)  null hypothesis is false 
B)  null hypothesis is true 
C)  research hypothesis is false 
D)  research hypothesis is true 
A)  null hypothesis is false 
B)  null hypothesis is true 
C)  research hypothesis is false 
D)  research hypothesis is true

Question 11

Why is it important to assess the magnitude of the result whenever conducting a statistical test?

Accepted Answer

A)  Because some relationships between variables are statistically significant, but the magnitude of the relationship is actually quite small 
B)  Because some correlations are spurious 
C)  Because the difference of means test cannot be used on two variables with nominal measurement 
D)  Because a higher coefficient always means that it will be statistically significant 
A)  Because some relationships between variables are statistically significant, but the magnitude of the relationship is actually quite small 
B)  Because some correlations are spurious 
C)  Because the difference of means test cannot be used on two variables with nominal measurement 
D)  Because a higher coefficient always means that it will be statistically significant

Question 12

The significance level is used to determine:

Accepted Answer

A)  the threshold at which we would reject the null hypothesis 
B)  the probability of observing a particular result 
C)  if there is a relationship between the two variables 
D)  that two variables are not correlated in the general population 
A)  the threshold at which we would reject the null hypothesis 
B)  the probability of observing a particular result 
C)  if there is a relationship between the two variables 
D)  that two variables are not correlated in the general population

Question 13

Which of the following evaluates whether there is a difference in the averages between the two groupings of the dependent variable, based on variation in the independent variable in the sample you are using:

Accepted Answer

A)  correlation coefficient 
B)  regression analysis 
C)  difference of means 
D)  summary statistics 
A)  correlation coefficient 
B)  regression analysis 
C)  difference of means 
D)  summary statistics

Question 14

A correlation coefficient close to -1 implies:

Accepted Answer

A)  an inverse relationship 
B)  a positive relationship 
C)  no correlation 
D)  a significant difference of means between two groups 
A)  an inverse relationship 
B)  a positive relationship 
C)  no correlation 
D)  a significant difference of means between two groups

Question 15

Correlations are sometimes spurious, meaning that:

Accepted Answer

A)  there is a positive correlation 
B)  that the relationship between the variables is a causal one, but they are not correlated 
C)  that the variables are correlated and caused one another 
D)  that the variables are correlated, but in truth the relationship between them is not a causal one 
A)  there is a positive correlation 
B)  that the relationship between the variables is a causal one, but they are not correlated 
C)  that the variables are correlated and caused one another 
D)  that the variables are correlated, but in truth the relationship between them is not a causal one

Question 16

A p-value of .03 means:

Accepted Answer

A)  that in only 3 in 100 times would a result as large as the one observed in a sample of data be observed if the null hypothesis were actually true for the population 
B)  that the null hypothesis is correct in 3 of 100 times 
C)  that the research hypothesis is true 
D)  that 3% of the variation in the dependent variable is explained by the inclusion of an independent variable 
A)  that in only 3 in 100 times would a result as large as the one observed in a sample of data be observed if the null hypothesis were actually true for the population 
B)  that the null hypothesis is correct in 3 of 100 times 
C)  that the research hypothesis is true 
D)  that 3% of the variation in the dependent variable is explained by the inclusion of an independent variable

Question 17

A difference of means test found that the mean difference in GPA between male and female students is 0.06 with a p-value of 0.000. This could be interpreted as:

Accepted Answer

A)  small in magnitude and statistically significant 
B)  small in magnitude and not statistically significant 
C)  large in magnitude and statistically significant 
D)  large in magnitude and not statistically significant 
A)  small in magnitude and statistically significant 
B)  small in magnitude and not statistically significant 
C)  large in magnitude and statistically significant 
D)  large in magnitude and not statistically significant

Question 18

In SPSS, Sig (2-tailed) is the:

Accepted Answer

A)  correlation coefficient 
B)  mean difference between two groups 
C)  p-value for a test 
D)  confidence interval 
A)  correlation coefficient 
B)  mean difference between two groups 
C)  p-value for a test 
D)  confidence interval

Question 19

Which bivariate analysis is most appropriate for the following two variables: age and yearly income?

Accepted Answer

A)  Difference of means 
B)  Correlation coefficient 
C)  Descriptive statistics 
D)  Data analysis 
A)  Difference of means 
B)  Correlation coefficient 
C)  Descriptive statistics 
D)  Data analysis

Most studies in the social sciences set the significance level of a hypothesis test at:

A correlation coefficient of 0.9 between two variables can be interpreted as:

Cross tabulation assesses the relationship between:

Which bivariate analysis is most appropriate for the following two variables: registered to vote (yes/no) and life satisfaction (from 1, not satisfied to 10, very satisfied)?

The null hypothesis for the difference of means test:

Which of the following is an example of bivariate analysis?

Which of the following investigates the relationships between two or more variables?

A correlation coefficient of 0 implies:

A p-value greater than 0.05 would support:

The p-value can be defined as the probability of observing a result when the:

Why is it important to assess the magnitude of the result whenever conducting a statistical test?

The significance level is used to determine:

Which of the following evaluates whether there is a difference in the averages between the two groupings of the dependent variable, based on variation in the independent variable in the sample you are using:

A correlation coefficient close to -1 implies:

Correlations are sometimes spurious, meaning that:

A p-value of .03 means:

A difference of means test found that the mean difference in GPA between male and female students is 0.06 with a p-value of 0.000. This could be interpreted as:

In SPSS, Sig (2-tailed) is the:

Which bivariate analysis is most appropriate for the following two variables: age and yearly income?

Introduction

Reviewing the Literature

Asking Questions in Political Science

Theory and Hypotheses

Research Design

More on Measurement

Getting Started With SPSS and Descriptive Statistics

Introduction to Regression

Qualitative Analysis Through Case Studies

Writing a Final Research Report

Your Future in Research

Filters

Exam 8: Basic Bivariate Analysis

Most studies in the social sciences set the significance level of a hypothesis test at:

A correlation coefficient of 0.9 between two variables can be interpreted as:

Cross tabulation assesses the relationship between:

Which bivariate analysis is most appropriate for the following two variables: registered to vote (yes/no) and life satisfaction (from 1, not satisfied to 10, very satisfied)?

The null hypothesis for the difference of means test:

Which of the following is an example of bivariate analysis?

Which of the following investigates the relationships between two or more variables?

A correlation coefficient of 0 implies:

A p-value greater than 0.05 would support:

The p-value can be defined as the probability of observing a result when the:

Why is it important to assess the magnitude of the result whenever conducting a statistical test?

The significance level is used to determine:

Which of the following evaluates whether there is a difference in the averages between the two groupings of the dependent variable, based on variation in the independent variable in the sample you are using:

A correlation coefficient close to -1 implies:

Correlations are sometimes spurious, meaning that:

A p-value of .03 means:

A difference of means test found that the mean difference in GPA between male and female students is 0.06 with a p-value of 0.000. This could be interpreted as:

In SPSS, Sig (2-tailed) is the:

Which bivariate analysis is most appropriate for the following two variables: age and yearly income?

Introduction

Reviewing the Literature

Asking Questions in Political Science

Theory and Hypotheses

Research Design

More on Measurement

Getting Started With SPSS and Descriptive Statistics

Introduction to Regression

Qualitative Analysis Through Case Studies

Writing a Final Research Report

Your Future in Research

Filters