Introduction to Survey Quality [Hardcover]

Peruse the history of survey research and the essential conceptsfor data quality. With an emphasis on total survey error, theauthors review principles and concepts in the field and examineimportant unresolved issues in survey methods. Spanning a range oftopics dealing with the quality of data collected through thesurvey process, they focus on such key issues as:
* Major sources of survey error, examining the origins of eacherror source most successful methods for reducing errors from thosesources
* Methods most often used in practice for evaluating the effectsof the source on total survey error
* Implications of improving survey quality for organizationalmanagement and costsPreface.

Chapter 1. The Evolution of Survey Process Quality.

1.1 The Concept of a Survey.

1.2 Types of Surveys.

1.3 Brief History of Survey Methodology.

1.4 The Quality Revolution.

1.5 Definitions of Quality and Quality in StatisticalOrganizations.

1.6 Measuring Quality.

1.7 Improving Quality.

1.8 Quality in a Nutshell.

Chapter 2. The Survey Process and Data Quality.

2.1 Overview of the Survey Process.

2.2 Data Quality and Total Survey Error.

2.3 Decomposing Nonsampling Error into Its Component Parts.

2.4 Gauging the Magnitude of Total Survey Error.

2.5 Mean Squared Error.

2.6 An Illustration of the Concepts.

Chapter 3. Coverage and Nonresponse Error.

3.1 Coverage Error.

3.2 Measures of Coverage Bias.

3.3 Reducing Coverage Bias.

3.4 Unit Nonresponse Error.

3.5 Calculating Response Rates.

3.6 Rlƒ+