The Total Survey Error Approach: A Guide to the New Science of Survey Research

By H. Weisberg. 2005

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Too Fast, too Straight, too Weird: Non-Reactive Indicators for Meaningless Data in Internet Surveys (2019, methodology): “…the wording of questions (Converse & Presser, 2003; Payne, 1980) are necessary prerequisites for useful survey data; and depending on the research design, sampling, coverage, and non-response (Dillman, 2013) may threaten data quality more severely than a few meaningless records (Weisberg, 2009).”
Subjective Organizational Performance and Measurement Error: Common Source Bias and Spurious Relationships (2013, background): “Even the name “common source bias” is somewhat misleading, since the problem of correlated errors can be generated in a variety of ways (see Weisberg 2005).10 One source of the bias might be the questions themselves, because questions might have more than one stimulus; that is, they tap performance…”
Are Survey Experiments Externally Valid? (2010, background): “Moreover, recent research has found lower levels of satisficing in Internet samples, which may improve the quality of those data vis-à-vis telephone surveys (Weisberg 2005).34 The second and, in our view, more serious flaw is the limited statistical power in our natural experiments.”
A sample-and-clean framework for fast and accurate query processing on dirty data (2014, background): “Result Estimation and Sampling: Estimating aggregate statistics of populations from samples has been well studied in the field of surveying [7,29,38,49,53,56].”