Web Survey Bibliography
We analyse item level keystroke data from cycle 6 of the National Survey of Family Growth, which is a survey on fertility and related topics that is conducted in the USA. The National Survey of Family Growth is conducted among both males and females by using computer-assisted personal visit interviews and an audio computer-assisted self-interviewing component for the most sensitive topics. Our analyses focus on the time taken to answer a question as a function of item level characteristics, respondent characteristics and interviewer characteristics. Using multilevel models, we explore how these factors influence response times. Our exploratory study suggests that factors at all three levels (item, respondent and interviewer) influence response times. These results demonstrate that question features that explain variation in response times can be automatically derived from standard computer-assisted personal interviewing paradata. The effects of respondent characteristics that we observe are in line with prior findings from more controlled studies conducted in supervised telephone facilities. Some demographic characteristics of interviewers contributed to the variation in response times, though they failed to explain large portions of the between-interviewer variance.
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Web survey bibliography - Kreuter, F. (12)
- Theory and Practice in Nonprobability Surveys: Parallels between Causal Inference and Survey Inference...; 2017; Mercer, A. W.; Kreuter, F.; Keeter, S.; Stuart, E. A.
- Decomposing Selection Effects in Non-probability Samples ; 2016; Mercer, A. W.; Keeter, S.; Kreuter, F.
- The Effect of Benefit Wording on Consent to Link Survey and Administrative Records in a Web Survey; 2014; Sakshaug, J. W., Kreuter, F.
- Experiments in Obtaining Data Linkage Consent in Web Surveys ; 2013; Sakshaug, J. W., Kreuter, F.
- The Influence of Respondent Incentives on Item Nonresponse and Measurement Error in a Web Survey; 2013; Felderer, B., Kreuter, F., Winter, J.
- Practical tools for designing and weighting survey samples; 2013; Valliant, R. L., Daver, J. A., Kreuter, F.
- Using paradata to explore item-level response times in surveys; 2012; Couper, M. P., Kreuter, F.
- Paradata; 2012; Kreuter, F.
- Assessing the Magnitude of Non-Consent Biases in Linked Survey and Administrative Data; 2012; Sakshaug, J. W., Kreuter, F.
- The use of paradata to monitor and manage survey data collection; 2010; Kreuter, F., Couper, M. P., Lyberg, L. E.
- Television Viewing Among Respondents and Nonrespondents to the Nielsen Diary Survey; 2009; Casas-Cordero, C., Kreuter, F.
- Social desirability bias in CATI, IVR and Web surveys: The effects of mode and question sensitivity; 2008; Kreuter, F., Presser, S., Tourangeau, R.