copyright © 2008 by nelson, a division of thomson canada limited chapter 7 part 2 designing...
TRANSCRIPT
Copyright © 2008 by Nelson, a division of Thomson Canada Limited
Chapter
7
Part 2
Designing Research Studies
SURVEY RESEARCH: AN OVERVIEW
LEARNING OBJECTIVESLEARNING OBJECTIVESLEARNING OBJECTIVESLEARNING OBJECTIVES
1. To understand the terms survey, sample survey, and respondent
2. To understand the advantages of using surveys
3. To recognize that few surveys are error-free
4. To distinguish between random sampling error and systematic error
5. To classify the various types of systematic error and give examples of each type
6. To discuss how response error may be an unconscious misrepresentation or a deliberate falsification
What you will learn in this chapter
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LEARNING OBJECTIVES (cont’d)LEARNING OBJECTIVES (cont’d)LEARNING OBJECTIVES (cont’d)LEARNING OBJECTIVES (cont’d)
7. To distinguish between cross-sectional and longitudinal studies
8. To classify surveys according to method of communication, according to the degree of structure and disguise in questionnaires, and on a temporal basis
What you will learn in this chapter
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Respondent The person who verbally answers an interviewer’s
questions or provides answers to written questions
Sample survey A more formal term for a survey
Survey A method of collecting primary data in which information is
gathered by communicating with a representative sample of people
The Nature of SurveysThe Nature of SurveysThe Nature of SurveysThe Nature of Surveys
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• Survey Objectives: Type of Information Survey Objectives: Type of Information GatheredGatheredThe type of information gathered in a survey varies
considerably depending on its objectives Typically, surveys attempt to describe what is
happening or to learn the reasons for a particular marketing activity
Surveys can be both quantitative and qualitativeSurvey research is descriptive research
The Nature of Surveys (cont’d)The Nature of Surveys (cont’d)The Nature of Surveys (cont’d)The Nature of Surveys (cont’d)
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• Advantages of SurveysAdvantages of SurveysQuickInexpensiveEfficientAccurateFlexible
The Nature of Surveys (cont’d)The Nature of Surveys (cont’d)The Nature of Surveys (cont’d)The Nature of Surveys (cont’d)
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• Random Sampling ErrorRandom Sampling ErrorA statistical fluctuation that occurs because of
chance variation in the elements selected for a sample
• Systematic ErrorSystematic ErrorError resulting from some imperfect aspect of the
research design that causes respondent error or from a mistake in the execution of the research
Sample Bias A persistent tendency for the results of a sample to deviate
in one direction from the true value of the population parameter
Errors in Survey Research (cont’d)Errors in Survey Research (cont’d)Errors in Survey Research (cont’d)Errors in Survey Research (cont’d)
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• Respondent ErrorRespondent ErrorA category of sample bias resulting from some
respondent action or inaction such as nonresponse or response bias
• Nonresponse ErrorNonresponse ErrorThe statistical differences between a survey that
includes only those who responded and a perfect survey that would also include those who failed to respond
Respondent ErrorRespondent ErrorRespondent ErrorRespondent Error
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• Nonresponse Error (cont’d)Nonresponse Error (cont’d)Nonrespondent
A person who is not contacted or who refuses to cooperate in the research
No contact A person who is not at home or who is otherwise
inaccessible on the first and second contact
Refusal A person who is unwilling to participate in a research project
Self-selection bias A bias that occurs because people who feel strongly about
a subject are more likely to respond to survey questions than people who feel indifferent about it
Respondent Error (cont’d)Respondent Error (cont’d)Respondent Error (cont’d)Respondent Error (cont’d)
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• Response Bias Response Bias A bias that occurs when respondents either
consciously or unconsciously tend to answer questions with a certain slant that misrepresents the truth
Deliberate falsificationUnconscious misrepresentation
Respondent Error (cont’d)Respondent Error (cont’d)Respondent Error (cont’d)Respondent Error (cont’d)
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• Response Bias (cont’d)Response Bias (cont’d)Types of response bias
Acquiescence bias: A category of response bias that results because some individuals tend to agree with all questions or to concur with a particular position
Extremity bias: A category of response bias that results because some individuals tend to use extremes when responding to questions
Interviewer bias: A response bias that occurs because the presence of the interviewer influences respondents’ answers
Auspices bias: Bias in the responses of subjects caused by their being influenced by the organization conducting the study
Respondent Error (cont’d)Respondent Error (cont’d)Respondent Error (cont’d)Respondent Error (cont’d)
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• Response Bias (cont’d)Response Bias (cont’d)Types of response bias (cont’d)
Social desirability bias: Bias in responses caused by respondents’ desire, either conscious or unconscious, to gain prestige or appear in a different social role
Respondent Error (cont’d)Respondent Error (cont’d)Respondent Error (cont’d)Respondent Error (cont’d)
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• Administrative ErrorAdministrative ErrorAn error caused by the improper administration or
execution of the research task
• Data Processing ErrorData Processing ErrorA category of administrative error that occurs
because of incorrect data entry, incorrect computer programming, or other procedural errors during data analysis
Administrative ErrorAdministrative ErrorAdministrative ErrorAdministrative Error
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• Sample Selection ErrorSample Selection ErrorAn administrative error caused by improper sample
design or sampling procedure execution
• Interviewer ErrorInterviewer ErrorMistakes made by interviewers failing to record
survey responses correctly
• Interviewer CheatingInterviewer CheatingThe practice of filling in fake answers or falsifying
questionnaires while working as an interviewer
Administrative Error (cont’d)Administrative Error (cont’d)Administrative Error (cont’d)Administrative Error (cont’d)
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• Many researchers have established Many researchers have established conservative rules of thumb based on conservative rules of thumb based on experience to estimate systematic errorexperience to estimate systematic errorBenchmark figures Standards of comparison
Rule-of-Thumb Estimates For Systematic ErrorRule-of-Thumb Estimates For Systematic ErrorRule-of-Thumb Estimates For Systematic ErrorRule-of-Thumb Estimates For Systematic Error
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• There are ways to handle and reduce survey There are ways to handle and reduce survey errorserrorsChapter 13 on questionnaire design discusses the
reduction of response biasChapters 14 and 15 discuss the reduction of sample
selection and random sampling error
What Can Be Done To Reduce Survey Error?What Can Be Done To Reduce Survey Error?What Can Be Done To Reduce Survey Error?What Can Be Done To Reduce Survey Error?
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• Structured and Disguised QuestionsStructured and Disguised QuestionsStructured question
A question that imposes a limit on the number of allowable responses
Unstructured question A question that does not restrict the respondents’ answers
Undisguised question A straightforward question that assumes the respondent is
willing to answer
Disguised question An indirect question that assumes the purpose of the study
must be hidden from the respondent
Classifying Survey Research MethodsClassifying Survey Research MethodsClassifying Survey Research MethodsClassifying Survey Research Methods
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• Temporal ClassificationTemporal ClassificationCross-sectional study
A study in which various segments of a population are sampled and data are collected at a single moment in time
Longitudinal study A survey of respondents at different times, thus allowing
analysis of response continuity and changes over time Tracking study: A survey of respondents at different times,
thus allowing analysis of response continuity and changes over time
Consumer panel: A longitudinal survey of the same sample of individuals or households to record their attitudes, behaviour, or purchasing habits over time
Classifying Survey Research Methods (cont’d)Classifying Survey Research Methods (cont’d)Classifying Survey Research Methods (cont’d)Classifying Survey Research Methods (cont’d)
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Total Quality Management and Customer Total Quality Management and Customer Satisfaction SurveysSatisfaction SurveysTotal Quality Management and Customer Total Quality Management and Customer Satisfaction SurveysSatisfaction Surveys
• Total Quality ManagementTotal Quality ManagementA business philosophy that emphasizes market-
driven quality as a top organizational priority
• What Is Quality?What Is Quality?The degree to which a good or service corresponds
to buyers’ expectations
• Internal and External CustomersInternal and External CustomersEveryone in the organization has customers
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Total Quality Management and Customer Total Quality Management and Customer Satisfaction Surveys (cont’d)Satisfaction Surveys (cont’d)Total Quality Management and Customer Total Quality Management and Customer Satisfaction Surveys (cont’d)Satisfaction Surveys (cont’d)
• Implementing Total Quality ManagementImplementing Total Quality ManagementTo improve quality, an organization must regularly
conduct surveys to evaluate quality improvementCommitment and exploration stageBenchmarking stageInitial quality improvement stageContinuous quality improvement stage
• Example: Clairol Canada
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