Question 1

Sampling errors can be decreased by:

Accepted Answer

A)  decreasing the number of observations. 
B)  increasing the sample size. 
C)  providing better training for interviewers. 
D)  improving the data collection method. 
E)  using a quota sample. 
A)  decreasing the number of observations. 
B)  increasing the sample size. 
C)  providing better training for interviewers. 
D)  improving the data collection method. 
E)  using a quota sample.

Question 2

Which of the following leads to response bias?

Accepted Answer

A)  Errors in asking questions 
B)  Errors in recording answers 
C)  Errors in probing when additional information is required 
D)  Errors due to cheating 
E)  All of the above. 
A)  Errors in asking questions 
B)  Errors in recording answers 
C)  Errors in probing when additional information is required 
D)  Errors due to cheating 
E)  All of the above.

Question 3

The difference between the observed values of a variable and the long-run average of the observed values in repetitions of the measurement is (the):

Accepted Answer

A)  nonresponse error. 
B)  nonsampling error. 
C)  sampling error. 
D)  noncoverage error. 
E)  office error. 
A)  nonresponse error. 
B)  nonsampling error. 
C)  sampling error. 
D)  noncoverage error. 
E)  office error.

Question 4

____________________ error arises because of a failure to include some part of the defined population in the sampling frame.

Accepted Answer

The answer of ____________________ error arises because of a failure...

Question 5

The ____ is used to adjust the number of refusals and not-at-homes to reflect the fact that many of them would not have qualified to participate in the survey even had we successfully contacted them and gotten them to agree to participate.

Accepted Answer

A)  eligibility percentage 
B)  screening question 
C)  contact rate 
D)  response rate 
E)  None of the above. 
A)  eligibility percentage 
B)  screening question 
C)  contact rate 
D)  response rate 
E)  None of the above.

Question 6

Which of the following statements is TRUE?

Accepted Answer

A)  For most surveys, overcoverage is more common than noncoverage. 
B)  Noncoverage error is not a problem in every survey. 
C)  Noncoverage bias can be reduced by increasing the sample size. 
D)  Families with several phone listings have a lower probability of being included in the sample than do sampling units with one listing. 
E)  All of the above statements are false. 
A)  For most surveys, overcoverage is more common than noncoverage. 
B)  Noncoverage error is not a problem in every survey. 
C)  Noncoverage bias can be reduced by increasing the sample size. 
D)  Families with several phone listings have a lower probability of being included in the sample than do sampling units with one listing. 
E)  All of the above statements are false.

Question 7

Which of the following is TRUE?

Accepted Answer

A)  The percentage of not-at-homes has been decreasing for a long time. 
B)  Answering machines help interviewers schedule callback times. 
C)  It is much easier to find a "responsible adult" at home than a specific respondent. 
D)  One to two calls are often needed to reach three-fourths of the sample of households. 
E)  To maintain consistency, callbacks should be made at the same time as the original call. 
A)  The percentage of not-at-homes has been decreasing for a long time. 
B)  Answering machines help interviewers schedule callback times. 
C)  It is much easier to find a "responsible adult" at home than a specific respondent. 
D)  One to two calls are often needed to reach three-fourths of the sample of households. 
E)  To maintain consistency, callbacks should be made at the same time as the original call.

Question 8

Which of the following method(s) can be used to determine if nonresponse error is likely to be a problem in a particular study?

Accepted Answer

A)  Contact a sample of nonrespondents. 
B)  Compare respondent demographics against known demographics of population. 
C)  Conduct an analysis of late respondents vs. early respondents. 
D)  All of the above. 
E)  None of the above. 
A)  Contact a sample of nonrespondents. 
B)  Compare respondent demographics against known demographics of population. 
C)  Conduct an analysis of late respondents vs. early respondents. 
D)  All of the above. 
E)  None of the above.

Question 9

Exhibit 
Student researchers randomly selected 1000 telephone numbers from the local telephone directory and attempted to contact each household. Here are the final results of the calls:
  
-Refer to Exhibit 17.1. What is eligibility percentage in this particular situation?

Accepted Answer

A)  69% 
B)  31% 
C)  28% 
D)  41% 
E)  59% 
A)  69% 
B)  31% 
C)  28% 
D)  41% 
E)  59%

Question 10

The best way to reduce nonsampling errors is to:

Accepted Answer

A)  increase sample size. 
B)  improve data collection techniques. 
C)  offer incentives to respondents. 
D)  substitute the next house on the block for not-at-homes. 
E)  Nonsampling errors cannot be reduced. 
A)  increase sample size. 
B)  improve data collection techniques. 
C)  offer incentives to respondents. 
D)  substitute the next house on the block for not-at-homes. 
E)  Nonsampling errors cannot be reduced.

Question 11

Which of the following is TRUE?

Accepted Answer

A)  Noncoverage, nonsampling error is best treated by increasing the sample size that is selected. 
B)  Noncoverage, nonsampling error is essentially a sampling frame problem and if clear, complete, up-to-date sampling frames exist, noncoverage is not likely to be a problem. 
C)  While noncoverage can be a source of bias, overcoverage is not. In fact, overcoverage may improve estimates as it means that the sample size is larger than initially planned at no increase in cost. 
D)  Noncoverage bias is essentially eliminated with quota samples. 
E)  Noncoverage error can be statistically estimated. 
A)  Noncoverage, nonsampling error is best treated by increasing the sample size that is selected. 
B)  Noncoverage, nonsampling error is essentially a sampling frame problem and if clear, complete, up-to-date sampling frames exist, noncoverage is not likely to be a problem. 
C)  While noncoverage can be a source of bias, overcoverage is not. In fact, overcoverage may improve estimates as it means that the sample size is larger than initially planned at no increase in cost. 
D)  Noncoverage bias is essentially eliminated with quota samples. 
E)  Noncoverage error can be statistically estimated.

Question 12

The two types of nonresponse errors are refusals and item omission.

Accepted Answer

A) True 
 B)False

Question 13

Blame for response errors can lay with the researcher, respondent or both.

Accepted Answer

A) True 
 B)False

Question 14

Name the type of nonsampling error that occurs due to data editing, coding, or analysis errors: ____________________

Accepted Answer

The answer of Name the type of nonsampling error that...

Question 15

Which of the following is FALSE?

Accepted Answer

A)  Nonresponse error is a potential problem in any project for which data are not collected from all respondents selected for the sample. 
B)  Nonresponse error only occurs when those who respond are systematically different from those who do not respond in some important way. 
C)  Refusal bias applies to projects using all forms of data collection. 
D)  The degree of nonresponse error is easy to assess. 
E)  All of the above statements are true. 
A)  Nonresponse error is a potential problem in any project for which data are not collected from all respondents selected for the sample. 
B)  Nonresponse error only occurs when those who respond are systematically different from those who do not respond in some important way. 
C)  Refusal bias applies to projects using all forms of data collection. 
D)  The degree of nonresponse error is easy to assess. 
E)  All of the above statements are true.

Question 16

Nonresponse error represents:

Accepted Answer

A)  a measure of the difference between the size of the population and the size of the sample. 
B)  the number of sampling units not contacted on the first attempt. 
C)  a random distribution of unanswered questions. 
D)  a failure to obtain information from sampling units. 
E)  a uniform distribution of uncontacted respondents. 
A)  a measure of the difference between the size of the population and the size of the sample. 
B)  the number of sampling units not contacted on the first attempt. 
C)  a random distribution of unanswered questions. 
D)  a failure to obtain information from sampling units. 
E)  a uniform distribution of uncontacted respondents.

Sampling errors can be decreased by:

Which of the following leads to response bias?

The difference between the observed values of a variable and the long-run average of the observed values in repetitions of the measurement is (the):

____________________ error arises because of a failure to include some part of the defined population in the sampling frame.

The ____ is used to adjust the number of refusals and not-at-homes to reflect the fact that many of them would not have qualified to participate in the survey even had we successfully contacted them and gotten them to agree to participate.

Which of the following statements is TRUE?

Which of the following is TRUE?

Which of the following method(s) can be used to determine if nonresponse error is likely to be a problem in a particular study?

Exhibit Student researchers randomly selected 1000 telephone numbers from the local telephone directory and attempted to contact each household. Here are the final results of the calls: -Refer to Exhibit 17.1. What is eligibility percentage in this particular situation?

The best way to reduce nonsampling errors is to:

Which of the following is TRUE?

The two types of nonresponse errors are refusals and item omission.

Blame for response errors can lay with the researcher, respondent or both.

Name the type of nonsampling error that occurs due to data editing, coding, or analysis errors: ____________________

Which of the following is FALSE?

Nonresponse error represents:

Marketing Research: From Data to Information to Action

The Research Question: Formulation of the Problem

Exploratory, Descriptive, and Causal Research Designs

Collecting Secondary Data from Inside and Outside the Organization

Collecting Primary Data by Observation

Collecting Primary Data by Communication

Asking Good Questions

Designing the Questionnaire

Developing the Sampling Plan

Data Preparation for Analysis

Analysis & Interpretation: Individual Variables Independently

Analysis & Interpretation: Multiple Variables Simultaneously

The Research Report

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Exam 10: Data Collection: Enhancing Response Rates while Limiting Errors

Sampling errors can be decreased by:

Which of the following leads to response bias?

The difference between the observed values of a variable and the long-run average of the observed values in repetitions of the measurement is (the):

____________________ error arises because of a failure to include some part of the defined population in the sampling frame.

The ____ is used to adjust the number of refusals and not-at-homes to reflect the fact that many of them would not have qualified to participate in the survey even had we successfully contacted them and gotten them to agree to participate.

Which of the following statements is TRUE?

Which of the following is TRUE?

Which of the following method(s) can be used to determine if nonresponse error is likely to be a problem in a particular study?

Exhibit Student researchers randomly selected 1000 telephone numbers from the local telephone directory and attempted to contact each household. Here are the final results of the calls: -Refer to Exhibit 17.1. What is eligibility percentage in this particular situation?

The best way to reduce nonsampling errors is to:

Which of the following is TRUE?

The two types of nonresponse errors are refusals and item omission.

Blame for response errors can lay with the researcher, respondent or both.

Name the type of nonsampling error that occurs due to data editing, coding, or analysis errors: ____________________

Which of the following is FALSE?

Nonresponse error represents:

Marketing Research: From Data to Information to Action

The Research Question: Formulation of the Problem

Exploratory, Descriptive, and Causal Research Designs

Collecting Secondary Data from Inside and Outside the Organization

Collecting Primary Data by Observation

Collecting Primary Data by Communication

Asking Good Questions

Designing the Questionnaire

Developing the Sampling Plan

Data Preparation for Analysis

Analysis & Interpretation: Individual Variables Independently

Analysis & Interpretation: Multiple Variables Simultaneously

The Research Report

Filters