Get Survey Errors and Survey Costs PDF
By Robert M. Groves
Offers a finished therapy of survey blunders and the prices and merits of other survey designs, integrating statistical and social technological know-how views on survey layout. Considers assurance blunders, nonresponse errors, sampling blunders, and size mistakes, together with the results of interviewers and respondents, the wording of the questionnaire, and mode of information assortment. A overview of the social technological know-how and statistical literatures on survey error is incorporated, and the relationships among the differing kinds of mistakes are explored. provides rate types designed to lessen a few of the sorts of mistakes.
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Extra info for Survey Errors and Survey Costs
Interviewer errors are associated with effects on respondents’ answers stemming from the different ways that 12 1. AN INTRODUCTION TO SURVEY ERRORS interviewers administer the survey. Examples of these errors include the failure to read the question correctly (leading to response errors by the respondent), delivery of the question with an intonation that influences the respondent’s choice of answer, and failure to record the respondent’s answer correctly. There are also effects on the quality of the respondents’ answers from the wording of the question or flow of the questionnaire, labeled instrument error.
Nonresponse rates are given some attention in technical appendixes of survey reports, but rarely do designers or analysts alter survey designs to increase sampling error in order to reduce nonresponse error. Why not? Only rarely could the designer be assured of what reduction in nonresponse error would result from the reallocation of resources from a given number of sample units to greater efforts to measure a smaller number of sample units. Numbers have a power over design decisions that is partially legitimate.
This concept is akin to some of the error concepts in survey statistics. Linked to the “external validity” are notions of target populations, failure to cover different parts of the target population, and concerns with how “representative” of the full target population the sample of respondents is. Thus, what a survey statistician might call coverage, nonresponse, or sampling bias, this approach might term threats to external validity or forces toward external invalidity. The more one reads of errors in psychological measurement, the more types of validity that one encounters.
Survey Errors and Survey Costs by Robert M. Groves