Web Survey Bibliography
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.
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Web survey bibliography - Blasius, J. (5)
- Comparing Ranking Techniques in Web Surveys; 2012; Blasius, J.
- Data quality in MAWI and CAWI; 2012; Mavletova, A. M., Blasius, J.
- Assessing the Quality of Survey Data ; 2012; Blasius, J.
- The Effect of Phrasing Scale Items in Low-Brow or High-Brow Language on Responses; 2009; Blasius, J., Friedrichs, J.
- Representativeness in Online-Surveys Through Stratified Sample; 2008; Blasius, J.