Sample design and cohort selection in the Hispanic Community Health Study/Study of Latinos.

The total survey error (TSE) paradigm provides a theoretical framework for optimizing surveys by maximizing data quality within budgetary constraints. In this article, the TSE paradigm is viewed as part of a much larger design strategy that seeks to optimize surveys by maximizing total survey quality; i.e., quality more broadly defined to include user-specified dimensions of quality. Survey methodology, viewed within this larger framework, alters our perspectives on the survey design, implementation, and evaluation. As an example, although a major objective of survey design is to maximize accuracy subject to costs and timeliness constraints, the survey budget must also accommodate additional objectives related to relevance, accessibility, interpretability, comparability, coherence, and completeness that are critical to a survey's "fitness for use." The article considers how the total survey quality approach can be extended beyond survey design to include survey implementation and evaluation. In doing so, the "fitness for use" perspective is shown to influence decisions regarding how to reduce survey error during design implementation and what sources of error should be evaluated in order to assess the survey quality today and to prepare for the surveys of the future.

/pdf/total-survey-error-design-implementation-and-evaluation-3h01v006yb.pdf

Total Survey Error: Design, Implementation, and Evaluation

This review of nonresponse in cross-sectional household surveys in the United States shows trends in nonresponse rates, the main reasons for nonresponse, and changes in the components of nonresponse. It shows that nonresponse is increasing but that existing methods for modeling response mechanisms do not adequately explain these changes.

Explaining Rising Nonresponse Rates in Cross-Sectional Surveys

Green human resource management and environmental cooperation: An ability-motivation-opportunity and contingency perspective

Sun exposure and sun-protection behaviors and attitudes among U.S. youth, 11 to 18 years of age.

Non‐Sampling Errors in Surveys

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Non‐Sampling Errors in Surveys