Chapter 6- Traditional Survey Research Flashcards
The need to know why
there is a critical need to know about why ppl do something; we don’t mean to imply that surveys can prove causation, only that they can be used to develop some idea of the casual forces at work
The need to know how
the researcher often finds it necessary to understand the process consumer go through before taking some action;
The need to know who
the researcher needs to know who the person is and who played an influencing role in the decision making process, from a demographic or lifestyle perspective
Random error
Error that results from chance variation (the diff btwn the sample calue and the true value of pop. mean)
Fix: increasing sample size
Systematic Error, or bias
error that results from problems or flaws in the execution of the research design; sometimes called nonsampling error
Fix: minimizing sample size and measurement errors
Sample design error
a systematic error that results from a problem in the sample design or sampling procedures; types of sample design errors include frame errors, population specification errors, and selection errors
Frame error
error resulting from an inaccurate or incomplete sampling frame
Fix: getting the best sampling frame possible and doing preliminary quality control checks to evaluate the accuracy and completeness of the fame
Population Specification Error
results from an incorrect definition of the population or universe from which the sample is to be selected ie. sample of 35 yr. olds when it should have been 20 yr. olds
Fix: can be reduced only by more careful consideration and definition of the population issue
Selection Error
occurs when sampling procedures are incomplete or improper or when appropriate selection procedures are not properly followed
Fix: minimized it by developing selection procedures that will ensure randomness and by developing quality control checks to make sure that these procedures are followed in the field
Measurement Error
occurs when there is variation between the information being sought (true value) and the information actually obtained by the measurement process
Surrogate Information Error
occurs when there is a discrepancy btwn the information actually required to solve a problem and the info being sought by the researcher
Fix: paying more careful attention to specification of the types of information required to fulfill the objectives of the research
Interviewer Error / Interviewer Bias
results from the interviewer’s influencing a respondent–consciously or unconsciously–to give untrue or inaccurate answers; caused by the selection/training of interviewers to follow instructions
Fix: careful interviewer selection and training; in addition, quality control checks should involve unobtrusive monitoring of interviewers to ascertain whether they are following prescribed guidelines
Measurement Instrument Bias (questionnaire bias)
results from problems with measurement instrument or questionnaire
Fix: careful questionnaire design and pretesting
Input error
results from the incorrect input of information into a computer file or database
Fix: use software checks to find illogical response patterns or improperly scanned machine-scored questionnaires
Nonresponse Bias
error that results from a systematic difference between those who do and those who do not respond to a measurement instrument
Fix: doing everything possible to encourage those chosen for the sample to respond (ie. shortening the questionnaire, making it more respondent friendly, providing incentives, etc. )