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- W203617760 abstract "One of the reasons for the paucity of information on the impact of non-sampling errors is that the current survey error models imply that field experiments are needed to quantify the impact of errors and that a survey design information system should not be dependent upon either the development of complex total error models or upon models that require field experiments to quantify. A survey design information system should employ a variety of approaches for quantifying the effects of errors. This chapter discusses the measurement error models, the Pearson laboratory experiment, and various considerations for the laboratory experiment approach. It is further suggested that a survey design information system should not wait for a grand total error model that integrates information on many or all types of survey errors." @default.
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- W203617760 date "1983-01-01" @default.
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- W203617760 title "REDUCING THE COST OF STUDYING SURVEY MEASUREMENT ERROR: IS A LABORATORY APPROACH THE ANSWER?" @default.
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- W203617760 doi "https://doi.org/10.1016/b978-0-12-765480-5.50018-7" @default.
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