Web Survey Bibliography
In survey research, computer assisted forms of data collection are rapidly replacing paper and pencil methods. At the same time children are becoming important respondents in many large-scale surveys. However, children possess distinctive cognitive and social developmental characteristics, what must be taken into consideration in the research design. There are many problems to be solved when the respondents are children, including problems of language use, literacy and different stages of cognitive development (Scott 2001).
In order to examine data quality collected with computer assisted self administered questionnaires (CASQ) a study among 9 and 10 years old children was conducted. Within the study two hypotheses were tested:
1. “Cognitive skills do have an impact on reliability of data collected by CASQ, but reliability is not lower than in paper and pencil collection mode.”
2. “Computer skills do not have a significant influence on quality of data in CSAQ.”
In order to answer research questions three different databases were used – PIRLS 2001 (Progress in International Reading Literacy Study) (n=3118); TIMSS 2003 (Trends in International Mathematics and Science Study) (n=3126) – both paper and pencil self administered studies, and computer assisted self administered study where several questions from paper and pencil studies were repeated with the intention to compare the results (n=150). All three studies were conducted in a school setting.
Four constructs were analyzed in relation to the following variables: mode of data collection, index of cognitive level, gender and index of computer skills.
The results show that cognitively more sophisticated children give somehow more reliable results, although further analysis showed the differences between groups are not statistically significant.
Reliability analyses were performed to compare data quality of groups of respondents with high and low index of computer use. Although Cronbach’s α is higher for group of respondents who use computers rarely, the difference between two groups is not statistically significant. Missing value analyses also shows, that respondents who use computers more rarely produced less item nonresponse compared to respondents who use computers more often, meaning that children with lower index of computer skills do not produce lower quality data.
General online research (GOR) 2008 (abstract)
Web Survey Bibliography (6476)
- Questionnaire Design of Self-Administered Paper and Online Surveys: Efficiency Considerations ; 2010; Lehtmets, D.
- The Handbook of Online and Social Media Research: Tools and Techniques for Market Researchers; 2010; Poynter, R.
- Does Visual Appeal Matter? Effects of Web Survey Aesthetics on Survey Quality; 2010; Mahon-Haft, T., Dillman, D. A.
- Interactive Voice Response and web-based questionnaires for population-based infectious disease reporting...; 2010; Bexelius, C., Merk, H., Sandin, S., Nyrén, O., Kühlmann-Berenzon, S., Linde, A., Litton, J.-E.
- Internet surveys; 2010; Couper, M. P., Bosnjak, M.
- Differences in responses to Web and paper surveys among school professionals; 2010; Yetter, G., Capaccioli, K.
- Using Web Surveys To Determine Audience Characteristics And Product Preferences; 2010; Philbrick, J. H., Bart, B., F. F.Smith, R. F.
- Using the Internet to Survey Small Towns and Communities: Limitations and Possibilities in the Early...; 2010; Smyth, J. D., Dillman, D. A., Christian, L. M., O'Neill, A. C.
- Experiments in Mobile Web Survey Design - Similarities to Other Modes and Unique Considerations; 2010; Peytchev, A., Hill, C. A.
- Comparison of paper-and-pencil versus Web administration of the Youth Risk Behavior Survey (YRBS): Participation...; 2010; Denniston, M. M., Brener, N. D., Kann, L., Eaton, D. K., McManus, T., Kyle, T. M., Roberts, A. M., Flint...
- The impact of progress indicators on task completion ; 2010; Conrad, F. G., Couper, M. P., Tourangeau, R., Peytchev, A.
- Use of the Internet for willingness-to-pay surveys A comparison of face-to-face and web-based interviews...; 2010; Nielsen, J. S.
- Using lotteries, loyalty points, and other incentives to increase participant response and completion...; 2010; Goeritz, A.
- The Fallacy of Online Surveys: No Data Are Better Than Bad Data; 2010; Duda, M. D., Nobile, J. L.
- Instrument Development With Web Surveys and Multiple Imputations ; 2010; Chang, L. C., Frost, L. Z., Chao, S., Ree, M. J.
- Web-based versus paper-based data collection for the evaluation of teaching activity: empirical evidence...; 2010; Lalla, M., Ferrari, D.
- Life360: Usability of Mobile Devices for Time Use Surveys; 2010; Lai, J. W., Vanno, L., W., Pearson, J., Makowska, H., Benezra, K., Green, M.Link, M. W.
- The Growth of Internet Research Methods and the Reluctant Sociologist; 2010; Farrell, D., Petersen, J. C.
- Understanding the Willingness to Participate in Mobile Surveys: Exploring the Role of Utilitarian, Affective...; 2010; Bosnjak, M., Metzger, G., Graef, L.
- Social and Behavioral Research and the Internet: Advances in Applied Methods and Research Strategies; 2010; Das, M., Ester, P., Kaczmirek, L.
- Factors affecting response rates of the web survey: A systematic review; 2010; Fan, W., Yan, Z.
- Advanced Methods for Conducting Online Behavioral Research; 2010; Gosling, S. D., J. J.Johnson, A. J.
- Web-Based Survey of US Health Educators: Challenges and Lessons; 2010; Chen, L.-S., Goodson, P.
- Cognitive burden of survey questions and response times: A psycholinguistic experiment; 2010; Lenzner, T., Kaczmirek, L., Lenzner, A.
- Online Travel Surveys and Response Patterns ; 2010; Pan, B.
- The big picture: what the decline of fixed line telephones will mean to mobile research; 2010; Windle, R.
- Capturing situations and context in mobile surveys. Reducing the recall and the out of context problem...; 2010; Tjostheim, I.
- The Future for Mobile Research: what will the landscape look like in two years time; 2010; Rolfe, G.
- Psychological aspects of interviewing by cellular telephone; 2010; Doering, N.
- Visual design in online surveys: Lessons for the mobile world; 2010; Couper, M. P.
- Mode and Context Effects in Measuring Household Assets; 2010; van Soest, A., Kapteyn, A.
- Does the Online Collection of Ego-Centered Network Data reduce Data Quality? An Experimental Comparison...; 2010; Matzat, U., Snijders, C.
- On possibilities and limitations of using self-anchoring scales in web surveys; 2010; Van Acker, F., Theuns, P.
- Improving the response rate and quality in Web-based surveys through the personalization and frequency...; 2010; Muñoz-Leiva, F., Sánchez-Fernández, J., Montoro-Ríos, F. J., Ibáñez-Zapata, J. A.
- Design and formatting in Internet-based research; 2010; Reips, U. -D.
- What are participants doing while filling in an online questionnaire: A paradata collection tool and...; 2010; Stieger, S., Reips, U. -D.
- An analysis of the effect of pre-incentives and post-incentives based on draws on response to web surveys...; 2010; Sánchez-Fernández, J., Muñoz-Leiva, F., Montoro-Ríos, F. J., Ibáñez-Zapata, J. A.
- Where Is the unproctored Internet testing train headed now?; 2009; Tippins, N. T.
- Statistical disclosure control for survey data; 2009; Skinner, C.
- Sampling of populations: methods and applications, 4th Edition; 2009; Levy, P. S., Lemeshow, S.
- Response format effects on measurement of employment; 2009; Thomas, R. K., Dillman, D. A., Smyth, J. D.
- Recovering the scientist-practitioner model: How IOs should respond to unproctored internet testing; 2009; Beaty, J. C. et al.
- Preserving the integrity of online testing; 2009; Burke, E.
- Mobile surveys from a technological perspective; 2009; Pferdekämper, T., Batanic, B.
- MarketTools TrueSample; 2009
- ISO 26362 Access panels in market, opinion, and social research-Vocabulary and service requirements; 2009
- Introduction to meta-analysis; 2009; Borenstein, M. et al.
- Internet alternatives to traditional proctored testing: Where are we now?; 2009; Tippins, N. T.
- Global market research 2009; 2009
- Getting data for (business) statistics: What's new? What's next?; 2009; Snijkers, G.