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3 results on '"survey data quality"'

1. A Review of Conceptual Approaches and Empirical Evidence on Probability and Nonprobability Sample Survey Research.

Author

Cornesse, Carina, Blom, Annelies G, Dutwin, David, Krosnick, Jon A, Leeuw, Edith D De, Legleye, Stéphane, Pasek, Josh, Pennay, Darren, Phillips, Benjamin, Sakshaug, Joseph W, Struminskaya, Bella, and Wenz, Alexander

Subjects
*NONPROBABILITY sampling, *PROBABILITY theory, *EVIDENCE
Abstract

There is an ongoing debate in the survey research literature about whether and when probability and nonprobability sample surveys produce accurate estimates of a larger population. Statistical theory provides a justification for confidence in probability sampling as a function of the survey design, whereas inferences based on nonprobability sampling are entirely dependent on models for validity. This article reviews the current debate about probability and nonprobability sample surveys. We describe the conditions under which nonprobability sample surveys may provide accurate results in theory and discuss empirical evidence on which types of samples produce the highest accuracy in practice. From these theoretical and empirical considerations, we derive best-practice recommendations and outline paths for future research. [ABSTRACT FROM AUTHOR]

Published
2020
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2. A Review of Conceptual Approaches and Empirical Evidence on Probability and Nonprobability Sample Survey Research

Author

Cornesse, C., Blom, A.G., Dutwin, D., Krosnick, J.A., de Leeuw, E.D., Legleye, S., Pasek, J., Pennay, D., Phillips, B., Sakshaug, J.W., Struminskaya, B., Wenz, A., Methodology and statistics for the behavioural and social sciences, and Leerstoel Heijden

Subjects
weighting adjustments, accuracy, nonprobability sampling, survey data quality, survey inference
Abstract

There is an ongoing debate in the survey research literature about whether and when probability and nonprobability sample surveys produce accurate estimates of a larger population. Statistical theory provides a justification for confidence in probability sampling as a function of the survey design, whereas inferences based on nonprobability sampling are entirely dependent on models for validity. This article reviews the current debate about probability and nonprobability sample surveys. We describe the conditions under which nonprobability sample surveys may provide accurate results in theory and discuss empirical evidence on which types of samples produce the highest accuracy in practice. From these theoretical and empirical considerations, we derive best-practice recommendations and outline paths for future research.

Published
2020

3. A Review of Conceptual Approaches and Empirical Evidence on Probability and Nonprobability Sample Survey Research

Subjects
weighting adjustments, accuracy, nonprobability sampling, survey data quality, survey inference
Abstract

There is an ongoing debate in the survey research literature about whether and when probability and nonprobability sample surveys produce accurate estimates of a larger population. Statistical theory provides a justification for confidence in probability sampling as a function of the survey design, whereas inferences based on nonprobability sampling are entirely dependent on models for validity. This article reviews the current debate about probability and nonprobability sample surveys. We describe the conditions under which nonprobability sample surveys may provide accurate results in theory and discuss empirical evidence on which types of samples produce the highest accuracy in practice. From these theoretical and empirical considerations, we derive best-practice recommendations and outline paths for future research.

Published
2020

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