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Survey quality assessment framework

This course is an introduction to the basic concepts for weighting. It begins by defining the goals of weighting including weighting as a correction for differential selection probabilities, non-response and non-coverage.

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The course covers the process of developing weights for stratified two-stage sampling including computing design weights and methods for nonresponse adjustments and frame coverage error adjustments. Additional topics may include the effect of weighting on variance of the estimates and extreme weights.

Biemer has more than 35 years of experience in survey methods and statistics. SQP is a free license online software.

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It is common practice in the social and behavioural sciences to combine the indicators of a concept into a single measure to facilitate its use in further analyses. Those combinations of indicators are referred to as indices , sum-scores , composite scores , or composite measures. While for individual questions it is possible to predict their measurement quality, e. Therefore, the ESS provides users with the indices and their quality if scalar equivalence was established.

The indices for which the information is available are summarised in this table. The ESS aims to achieve comparability of the data collected across all countries while minimising total survey error.

Introduction to Survey Quality

In the pursuit of this goal, the ESS follows procedures while developing and translating the source questionnaire to ensure that the concepts being measured are equivalent across the participating countries. After the data collection, the CST tests for measurement equivalence, which determines whether the differences found between countries or groups can be attributed to differences or are only caused by the measurement instruments.

In the ESS, we test for three levels of measurement equivalence: configural , metric and scalar equivalence. Chapter 3. Coverage and Nonresponse Error. Chapter 4.

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Chapter 5. Errors Due to Interviewers and Interviewing. Chapter 6.

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Data Collection Modes and Associated Errors. Chapter 7.

Other Titles by Paul P. Biemer

Data Processing: Errors and Their Control. Chapter 8.

Presentation on theme:

Overview of Survey Error Evaluation Methods. Chapter 9.