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Survey Research
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Survey Research What is a survey?
Primary data collection method based on communication with a representative sample of individuals Communication -- sharing of thoughts Representative sample -- in terms of the cases included and the manner in which they are selected
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Survey Research Survey Errors
Random -- statistical fluctuation in the data due to chance Can reduce with larger sample size Systematic-- errors resulting from an imperfection in the research design Respondent --e.g., parental style measure Administrative -- e.g., data coding errors These errors are unavoidable -- try to minimize, not eliminate, them
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Survey Research What does error do? XO = Xt + (XS + XR)
XO= Observed score for some construct XT = True score for some construct XS = Systematic Error XR = Random Error Can never eliminate XR, but try to reduce XS Try to set up a situation where XO = Xt
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Survey Research Respondent Errors -- errors due some respondent action or inaction Non-response Failure of units selected to be in the final sample to respond Refusals – respondent is contacted but chooses not to participate Not-at-homes – respondent not present when contacted Rule-of-thumb – try 3 times Contact rate = number of units contacted / total number of eligible units approached
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Survey Research How to reduce non-response error?
Increase initial response rate Sell value of research to respondent Guarantee of anonymity Hire professional firms to collect data Incentives Follow-up Adjust results for non-response bias CREATIVITY & PERSISTANCE
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Survey Research Respondent Errors
Response Bias -- tendency for respondents to answer questions in a manner that misrepresents their true feelings, beliefs, opinions, etc. Acquiescence bias -- “we agree with it; we agree with everything” Extremity bias -- “can’t answer a 1 or 7 ever” Interviewer bias -- “they work for 3M so ..” Social desirability bias -- “s/he would want me to answer this way”
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Survey Research Administrative Errors -- errors caused by improper administration of the survey or a study design flaw Data processing error -- simply entering the wrong code onto the computer Sample selection error -- some aspect of the sample is under-represented Interviewer error -- e.g., interviewer checks the wrong box, asks the wrong question Interviewer cheating -- e.g., interviewer fabricates data
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Survey Research Administrative Errors -- best way to reduce is by being careful -- very careful Other ways to reduce Interviewer training Coder training Interviewer incentives Checks of interviewers
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Survey Research Methods of Administration
Personal Interview -- face-to-face communication between an interviewer and respondent Telephone Interview -- information is gathered over the telephone Mail Questionnaire -- self-administered survey sent via the mail Electronic Questionnaire -- survey distributed and gathered via or the Internet
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Survey Research Advantages of personal interviews
Probe to get more in-depth responses to questions Longer survey instruments Completeness Use visual aids
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Survey Research Disadvantages of personal interviews Interviewer bias
Not anonymous Expense Ability to set up specific times for call backs
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Survey Research Advantages of telephone interviews
Efficiency in terms of speed and cost Ability to probe without having face-to-face contact (and embarrassment) Ability to have “pure random samples” Random-digit dialing Ability to set up specific times for call backs Direct data entry (CATI)
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Survey Research Disadvantages of telephone interviews
Limited reach (not all have telephones) Cell phone issues Annoyance Limited duration No visuals
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Survey Research Advantages of mail questionnaires Low in cost
Respondent convenience Respondent anonymity No interviewer Must use very straight-forward and simple questions Longer surveys
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Survey Research Disadvantages of mail questionnaires Lack of speed
Low response rates (usually below 50%; often much lower) No interviewer Cost can get high Provision of incentives Follow-ups
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Survey Research Electronic Questionnaires E-mail surveys Convenient
Limited reach Best used in conjunction with another method (i.e., mail or telephone)
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Survey Research Web-based surveys Convenient Limited
nth visitor methodology Some visual aids may be used Best application: In conjunction with another method Panels
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Survey Research Cross-Sectional versus Longitudinal Designs
Cross-sectional -- snapshot of population at one point in time Longitudinal -- fixed sample of population elements repeatedly measured over time Allows for tracking of certain changes over time (e.g., brand switching, brand loyalty)
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Classification of Descriptive Studies
Longitudinal Panel Descriptive Studies Cross Sectional Sample Survey
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Descriptive Studies Describes the marketplace
Describe characteristics of certain groups Estimate the proportion of people who will act in certain way Make specific predictions
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Longitudinal vs. Cross-Sectional Data
LONGITUDINAL DATA CROSS-SECTIONAL DATA • allows turnover analysis if panel is continuous • allows collection of much more classification information from respondents • allows longer and more exacting interviews • produces fewer errors in reporting past behavior because of natural forgetting • produces fewer interviewer—respondent interaction errors • tends to produce more representative samples of the population of interest • produces fewer errors due to respondent’s behavior being affected by the measurement task • allows the investigation of many more relationships
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