Victor Thiessen & Jörg Blasius 
Assessing the Quality of Survey Data [EPUB ebook] 

This is a book for any researcher using any kind of survey data. It introduces the latest methods of assessing the quality and validity of such data by providing new ways of interpreting variation and measuring error. By practically and accessibly demonstrating these techniques, especially those derived from Multiple Correspondence Analysis, the authors develop screening procedures to search for variation in observed responses that do not correspond with actual differences between respondents. Using well-known international data sets, the authors exemplify how to detect all manner of non-substantive variation having sources such as a variety of response styles including acquiescence, respondents′ failure to understand questions, inadequate field work standards, interview fatigue, and even the manufacture of (partly) faked interviews.

Содержание

Conceptualizing Data Quality: Respondent Attributes, Study Architecture, and Institutional Practices

Conceptualizing Response Quality

Study Architecture

Institutional Quality Control Practices

Data Screening Methodology

Chapter Outline

Empirical Findings on Quality and Comparability of Survey Data

Response Quality

Approaches to Detecting Systematic Response Errors

Questionnaire Architecture

Cognitive Maps in Cross-Cultural Perspective

Conclusion

Statistical Techniques for Data Screening

Principal Component Analysis

Categorical Principal Component Analysis

Multiple Correspondence Analysis

Conclusion

Institutional Quality Control Practices

Detecting Procedural Deficiencies

Data Duplication

Detecting Faked and Partly Faked Interviews

Data Entry Errors

Conclusion

Substantive or Methodology-Induced Factors? A Comparison of PCA, Cat PCA and MCA Solutions

Descriptive Analysis of Personal Feelings Domain

Rotation and Structure of Data

Conclusion

Item Difficulty and Response Quality

Descriptive Analysis of Political Efficacy Domain

Detecting Patterns with Subset Multiple Correspondence Analysis

Moderator Effects

Conclusion

Questionnaire Architecture

Fatigue Effect

Question Order Effects

Measuring Data Quality: The Dirty Data Index

Conclusion

Cognitive Competencies and Response Quality

Data and Measures

Response Quality, Task Simplification and Complexity of Cognitive Maps

Conclusion

Conclusion

Об авторе

Jörg Blasius is a professor of Sociology at the Institute for Political Science and Sociology, University of Bonn, Germany. His research interests are mainly focused on explorative data analysis, especially correspondence analysis and related methods, data collection methods, sociology of lifestyles, and urban sociology. He is a coeditor of the SAGE Series “Survey Research Methods in the Social Sciences.” Together with Michael Greenacre (University Pompeu Fabra, Barcelona), he founded Carme (Correspondence Analysis and Related Methods Network, see www.carme-n.org). From 1998 to 2016, he belonged to the Board of RC33 (Research Committee on Logic and Methodology in Sociology) of the ISA (International Sociological Association), from 2006 to 2010 he served as president. Website: https://www.politik-soziologie.uni-bonn.de/de/personal/Prof.-Dr.-Joerg-Blasius