Title: Data Collection in the Field, Nonresponse Error, and Questionnaire Screening
1Data Collection in the Field, Nonresponse Error,
and Questionnaire Screening
2Nonsampling Error in Marketing Research
- Nonsampling error includes
- All types of nonresponse error
- Data gathering errors
- Data handling errors
- Data analysis errors
- Interpretation errors
3Possible Errors in Field Data Collection
- Field worker error errors committed by the
persons who administer the questionnaires - Respondent error errors committed on the part of
the respondent - Errors may be either intentional or
unintentional.
4Data Collection Errors
5Possible Errors in Field Data Collection
Field-Worker Errors
- Intentional field worker error errors committed
when a data collection person willfully violates
the data collection requirements set forth by the
researcher - Interviewer cheating occurs when the interviewer
intentionally misrepresents respondents - Leading respondents occurs when the interviewer
influences respondents answers through wording,
voice inflection, or body language
6Possible Errors in Field Data Collection
Field-Worker Errors
- Unintentional field worker error errors
committed when an interviewer believes he or she
is performing correctly - Interviewer personal characteristics occurs
because of the interviewers personal
characteristics such as accent, sex, and demeanor
7Possible Errors in Field Data Collection
Field-Worker Errors
- Interviewer misunderstanding occurs when the
interviewer believes he or she knows how to
administer a survey but instead does it
incorrectly - Fatigue-related mistakes occur when interviewer
becomes tired
8Possible Errors in Field Data Collection
Respondent Errors
- Intentional respondent error errors committed
when there are respondents that willfully
misrepresent themselves in surveys - Falsehoods occur when respondents fail to tell
the truth in surveys - Nonresponse occurs when the prospective
respondent fails to take part in a survey or to
answer specific questions on the survey
9Possible Errors in Field Data Collection
Respondent Errors
- Unintentional respondent error errors committed
when a respondent gives a response that is not
valid but that he or she believes is the truth - Respondent misunderstanding occurs when a
respondent gives an answer without comprehending
the question and/or the accompanying instructions - Guessing occurs when a respondent gives an answer
when he or she is uncertain of its accuracy
10Possible Errors in Field Data Collection
Respondent Errors
- Attention loss occurs when a respondents
interest in the survey wanes - Distractions (such as interruptions) may occur
while questionnaire administration takes place - Fatigue occurs when a respondent becomes tired of
participating in a survey
11How to Control Data Collection Errors
Fieldworkers
12How to Control Data Collection Errors Respondents
13How to Control Data Collection Errors Respondents
14Data Collection Errors with Online Surveys
- Multiple submissions by the same respondent
- Bogus respondents and/or responses
- Misrepresentation of the population
15Nonresponse Error
- Nonresponse failure on the part of a prospective
respondent to take part in a survey or to answer
specific questions on the survey - Refusals to participate in survey
- Break-offs during the interview
- Refusals to answer certain questions (item
omissions) - Completed interview must be defined
16Nonresponse Error
- Response rate enumerates the percentage of the
total sample with which the interviews were
completed
17Nonresponse Error
- CASRO response rate formula
18Reducing Nonresponse Error
- Mail surveys
- Advance notification
- Monetary incentives
- Follow-up mailings
- Telephone surveys
- Callback attempts
19Preliminary Questionnaire Screening
- Unsystematic and systematic checks of completed
questionnaires - What to look for in questionnaire inspection
- Incomplete questionnaires
- Nonresponses to specific questions (item
omissions) - Yea- or nay-saying patterns
- Middle-of-the-road patterns
20Unreliable Responses
- Unreliable responses are found when conducting
questionnaire screening, and an inconsistent or
unreliable respondent may need to be eliminated
from the sample.
21Minimizing Non-Sampling Error
- Cannot eliminate and cannot measure (except for
non-response error) - Implement CONTROLS to minimize error
- Close supervision of data collectors
- Training
22Minimizing Non-Sampling Error
- Care in constructing questionnaire and
instructionspretest! - Provide incentives to respondents
- VALIDATIONindustry standard is 10