Web Survey Bibliography
This article analyzes paradata, or data on survey processes, from the 2008 Albany Youth Health Survey to examine the ‘‘usability’’ of personal digital assistants (PDAs) in collecting health and behavioral information among inner-city adolescents. Two parallel sets of data analysis were conducted: one at a subject level and a second at a survey question/item level. Outcomes related to usability issues included difficulty with practice questions, time spent on the survey/item, responding before completion of the audio, and revisiting a question. Overall, participants had relatively few usability issues with the PDAs. At the subject level, participants with lower academic performance were more likely to have difficulty with practice questions, revisit a question, and take more time. The variable-level analysis showed that an increasing level of variable type complexity was negatively associated with a question being revisited and positively associated with completion time. This study suggests that PDAs and other types of handheld computers can be used to collect sensitive data among urban adolescents. Increased practice time to orient certain respondents on certain types of questions on PDA-administered surveys may increase the ability to collect valid and reliable data on sensitive topics.
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Web survey bibliography (4086)
- Inference in surveys with sequential mixed-mode data collection; 2011; Buelens, B., van der Brakel, J.
- Using a Probability-based Online Panel to Survey American Jews; 2011; Wright, G., Phillips, B. T., Tobias, J., Peugh, J., Semans, K.
- Choice of Content Presentation Mode in Web-Based Survey Administration; 2011; Osborn, L., Mansfield, W., Ramirez, C. M., Lacey, J. N., etc.
- Seasonal Yield Variation and Related Response Patterns in Address-based Mail Samples; 2011; DiSogra, C., Hendarwan, E.
- Gender-specific on-line shopping preferences; 2011; Ulbrich, F., Christensen, T., Stankus, L.
- Mixing modes in the LFS - Computer-assisted, cost effective and respondent friendly; 2011; Koerner, T., van der Valk, J.
- Peanuts and Monkeys: Incentivisation and engagement in online access panels; 2011; Marks, B.
- Establishing Cross-National Equivalence of Measures of Xenophobia: Evidence from Probing in Web Surveys...; 2011; Braun, M., Behr, D., Kaczmirek, L.
- Methodological challenges in the use of the Internet for scientific research: Ten solutions and recommendations...; 2011; Reips, U.-D., Buchanan, T., Krantz, J. H., McGrawn, K.Reips, U.-D.
- Search and email still top the list of most popular online activities; 2011; Purcell, K.
- Using Internet in Stated Preference Surveys: A Review and Comparison of Survey Modes; 2011; Lindhjem, H., Navrud, S.
- On the experience and evidence about mixing modes of data collection in large-scale surveys where the...; 2011; Dex, S., Gumy, J.
- Survey Gamification: Old Wine in New Bottles?; 2011; Baker, R. P.
- The Game Experiments: Researching how gaming techniques can be used to improve the quality of feedback...; 2011; Sleep, D., Puleston, J.
- Statistical Estimation of Word Acquisition With Application to Readability Prediction; 2011; Kidwell, P., Lebanon, G., Collins-Thompson, K.
- What is Probit; 2011
- Voice-of-the-customer marketing: A revolutionary 5-step process to create customers who care, spend,...; 2011; Roman, E.
- User agent; 2011
- Unpublisihed internal Google report on break off rates by device type; 2011; Callegaro, M.
- Toward wiser public judgment; 2011; Yankelovich, D., Friedman, W.
- The impact of cookie deletion on site-server and ad-server metrics in Australia. An empirical comScore...; 2011
- The changing role of address-based sampling in survey research; 2011; Iannacchione, V. G.
- State of mobile measurement; 2011; Gluck, M.
- Some issues in the application of latent class models for questionnaire design; 2011; Biemer, P. P., Berzofsky, M.
- Self-administered mobile surveys; 2011; Bosnjak, M.
- SDSC Announces scalable, high-performance data storage cloud; 2011
- Ratings and audience measurement; 2011; Napoli, P. M.
- Randomized response models in survey sampling. Randomized response models; 2011; Hussain, Z.
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- Online survey research: Findings, Best practices, and future research; 2011
- New Esomar survey on use of cookies and tracking technologies; 2011
- Mobile, webmail, desktops: Where are we viewing email now?; 2011
- Measuring americans' issue priorities. A new version of the most important problem question reveals...; 2011; Yeager, D. S., Larson, S. B., Krosnick, J. A., Tompson, T.
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- Just published: Forrester Wave™ of enterprise feedback management satisfaction and loyalty solutions...; 2011; McInnes, A.
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- Involve while you evolve. How to make mobile research work for everyone; 2011; Luck, K.
- Internet access quarterly update 2011 Q1; 2011
- Households with Computers, Telephone Subscriptions, and Internet Access, Selected Years, 1997 - 2010; 2011
- Harvard research data security policy; 2011
- GRE® program announces big benefits and big savings for GRE® test takers worldwide; 2011
- Google and Kantar develop measurement panel; 2011
- Going online with assessment; 2011; Burke, E., Mahoney-Phillips, J., Bowler, W., Downey, K.
- Global market research 2011; 2011
- Focus Group Methodology: Principle and Practice; 2011; Liamputtong, P.
- External preference mapping of commercial antiaging creams based on consumers' responses to a check...; 2011; Parente, M. E., Manzoni, A. V., Ares, G.
- Experiments for evaluating survey questions; 2011; Krosnick, J. A.
- Evaluating the usability of personal digital assistants to collect behavioral data on adolescents with...; 2011; McClamroch, K. J.
- Eurobarometer Special surveys: EB75.1 E-Communications Household Survey. Special Eurobarometer 362; 2011