Total Survey Error: Past, Present, and Future
2010/01/01 by Robert M. Groves, R. M. Groves, L. Lyberg +1 · 28 citations
Social Sciences · Mathematics · Economics, Econometrics and Finance · #Survey Methodology and Nonresponse #Statistical Methods and Bayesian Inference #Healthcare Policy and Management
paper · doi:10.1093/poq/nfq065
Abstract
“Total survey error” is a conceptual framework describing statistical error properties of sample survey statistics. Early in the history of sample surveys, it arose as a tool to focus on implications of various gaps between the conditions under which probability samples yielded unbiased estimates of finite population parameters and practical situations in implementing survey design. While the framework permits design-based estimates of various error components, many of the design burdens to produce those estimates are large, and in practice most surveys do not implement them. Further, the framework does not incorporate other, nonstatistical, dimensions of quality that are commonly utilized in evaluating statistical information. The importation of new modeling tools brings new promise to measuring total survey error components, but also new challenges. A lasting value of the total survey error framework is at the design stage of a survey, to attempt a balance of costs and various errors. Indeed, this framework is the central organizing structure of the field of survey methodology.
Cited by
- Welcher Zweck heiligt die Mittel? Bemerkungen zur Repräsentativitätsdebatte in der Meinungsforschung
- Interviewer Training Guidelines of Multinational Survey Programs: A Total Survey Error Perspective
- Digital Data, Administrative Data, and Survey Compared: Updating the Classical Toolbox for Assessing Data Quality of Big Data, Exemplified by the Generation of Corruption Data
- The State's Politics of "Fake Data"
- Conditioning Public Opinion Perceptions by “Survey Methods 101”: Informing, Engaging, and Motivating Individuals for Critical Processing of Public Opinion Polls
- Total Survey Error in Biomeasure Data Collection
- Nonresponse versus Measurement Error
- When Synthetic Users Fail: A Cross-Domain Benchmark of LLM-Simulated Human Survey Responses
- Total Bias in Income Surveys when Nonresponse and Measurement Errors are Correlated
- Evaluation of Biases in Self-reported Demographic and Psychometric Information: Traditional versus Facebook-based Surveys
- Streamlining business functions in official statistical production with Machine Learning
- Causal Inferences from Digital Behavioral Data
- Survey Response Generation: Generating Closed-Ended Survey Responses In-Silico with Large Language Models
- Interviewer Involvement in Respondent Selection Moderates the Relationship Between Response Rates and Sample Bias in Cross-National Survey Projects in Europe
- Integrating smart surveys with traditional surveys
- Two implications of survey research mode during war: evidence from Russia’s full-scale invasion of Ukraine
- Methods, Developments, and Technological Innovations for Population Surveys
- The Long-Term Impact of Different Offline Population Inclusion Strategies in Probability-Based Online Panels: Evidence From the German Internet Panel and the GESIS Panel
- Little mentioning, moderate attention, great relevance: The quality of online platform data in the Digital Services Act
- From ideal experiments to ideal research designs (IDRs): What they are and why we should use them more
- Thinking Clearly About Sampling and Representation With the Total Survey Error Framework
- Emulating Public Opinion: A Proof-of-Concept of AI-Generated Synthetic Survey Responses for the Chilean Case
- Weights and Methodology Brief for the COVID-19 Symptom Survey by University of Maryland and Carnegie Mellon University, in Partnership with Facebook
- Online Surveys are Mixed-Device Surveys. Issues Associated with the Use of Different (Mobile) Devices in Web Surveys
- Polling Bias and Undecided Voter Allocations: US Presidential Elections, 2004–2016
- Digital trace data collection through data donation
- Determinants of participation in a longitudinal survey during the COVID-19 pandemic: the case of a low-infection country
- Survey sampling [wikipedia]
Related