What question did this study set out to answer?

Establish a comprehensive statistical methodology and theoretical framework for handling nonresponse and missing data in survey research.

January 1, 1988Journal of the Royal Statistical Society Series A (Statistics in Society)

Multiple Imputation for Nonresponse in Surveys.

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Establish a comprehensive statistical methodology and theoretical framework for handling nonresponse and missing data in survey research.
Develops multiple imputation procedures to replace each missing value with several simulated plausible values reflecting uncertainty.
Defines mathematical rules to combine analyses from multiple completed datasets into valid final inferences.
Demonstrates that multiple imputation yields valid point estimates and standard errors by incorporating both within-imputation and between-imputation variance.
Provides robust statistical mechanisms to address nonresponse bias across diverse sample survey designs.

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Implication

Methodological framework demonstrates multiple imputation for survey nonresponse, indicating a principled solution to account for missing data uncertainty.

Cite This Study

Sugden et al. (1988) studied this question.

synapsesocial.com/papers/6a0f9ddb4fb650da4ffe50b5 https://doi.org/10.2307/2983027

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Implication

Methodological framework demonstrates multiple imputation for survey nonresponse, indicating a principled solution to account for missing data uncertainty.

Multiple Imputation for Nonresponse in Surveys.

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Implication

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Multiple Imputation for Nonresponse in Surveys.

Key Points

Discussion

Implication

Cite This Study

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