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Paul P. Biemer

In: The SAGE Handbook of Survey Methodology

Chapter 10: Total Survey Error Paradigm: Theory and Practice

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Total Survey Error Paradigm: Theory and Practice
Total survey error paradigm: theory and practice
Paul P. Biemer
INTRODUCTION

Total survey error (TSE) refers to the accumulation of all errors that may arise in the design, collection, processing, and analysis of survey data. In this context, a survey error can be defined as any error arising from the survey process that contributes to the deviation of an estimate from its true parameter value. Survey errors may arise from frame deficiencies, sampling, the questionnaire design, translation errors, missing data, editing, and many other sources. Survey error will diminish the accuracy of inferences derived from the survey. A survey estimator will be more accurate when the sum of the squared bias and the variance (i.e., its mean squared error) is ...

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