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  SPECIFICATION
ASSESSING THE QUALITY OF SURVEY DATA (pb)2012
Author: JORG BLASIUS
ISBN: 9781849203326
Year: 2012
Publisher: SAGE PUBLICATIONS INDIA PRIVATE LIMITED
Category: SOCIAL SCIENCES
Format: Paperback
Language: English
 ABOUT THE TITLE
This book introduces the latest methods for assessing the quality and validity of survey 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 show how to detect all manner of non-substantive variation from response styles including acquiescence, respondents' failure to understand questions, inadequate field work standards, interview fatigue, and even the manufacture of (partly) faked interviews.

Author: Jörg Blasius and Victor Thiessen
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 TABLE OF CONTENTS
• 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, CatPCA 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
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