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 (4086)
- Using global online panels; 2008; Pearson, C., Smith, E., Ridlen, R., Zhang, H., Cooper, A
- The quest for on-line quality research; 2008; Rhall, T., Fine, B.
- Visual Design Effects on on Respondents Behaviour in Web-Surveys. A Design Experiment; 2008; Greinoecker, A.
- Effects of Privacy Assurances on the Online Measurement of Psychological Constructs; 2008; Witzki, A., Kramer, J.
- How Web 2.0 Technologies Can Become a Valuable Part of Online Research; 2008; Jaron, R.
- Respondent Authenticity - A biometrical approach to authenticate panelists; 2008; Wachter, B., Bender, C.
- Not Mixed-Mode but Switch-Mode; 2008; Höglinger, M., Abraham, M., Arpagaus, J.
- The Impact of Cognitive and Computer Skills on Data Quality in Computer Assisted Self Administered Questionnaires...; 2008; Brecko, B. N., Vehovar, V.
- Optimal Contact Strategy in a Mail-and-Web Mixed Mode Survey; 2008; Holmberg, A., Lorenc, B., Werner, P.
- 10 Years of Meinungsplatz.de: Success in the Collection of Data for Targeted Audiences, Such as the...; 2008; Weyergraf, O.
- Self-selection in Online Access Panels: No “Little Difference” in the Recruiting Process...; 2008; Wirth, T.
- Mobile Market Research; 2008; Maxl, E.
- Online vs. Offline in Mobile Surveys; 2008; Neubarth, W., Maier, U.
- Gender-of-Interviewer Effects in Video-Enhanced Web Surveys. Results from a Randomized Field-Experiment...; 2008; Fuchs, M.
- The Online Use of Randomized Response Measurements; 2008; Snijders, C., Weesie, J.
- The Influence of Human Cues on Drop-out and Answer Behaviour within Web Surveys; 2008; Oesterlau, T., Geißler, H.
- “For Example…,” How Different Example Types in Online Surveys Influence Frequency...; 2008; Berent, M., Krosnick, J. A.
- How Too Little Can Give You a Little Too Much: Determining the Number of Household Phone Lines in RDD...; 2008; Merkle, D., Langer, G.
- Learning and fatigue during choice experiments: a comparison of online and mail survey modes; 2008; Savage, S. J., Waldman, D. M.
- Avoiding Massive Automated Voting in Internet Polls ; 2008; Basso, A., Miraglia, M.
- Internet surveys; 2008; Vehovar, V., Lozar Manfreda, K., Koren, G.
- Reasons for nonresponse in a web-based survey of alcohol involvement among first-year college students...; 2008; Cranford, J. A., McCabe, S. E., Boyd, C. J., Slayden, J., Reed, M. B., Lange, J. E., Scott, M. S.
- The influence of mobile telephones on telephone surveys; 2008; Kuusela, V., Callegaro, M., Vehovar, V.
- Telephone and Web: Mixed-Mode Challenge ; 2008; Greene, J., Speizer, H., Wiitala, W.
- Fast times and easy questions: the effects of age, experience and question complexity on web survey...; 2008; Yan, T., Tourangeau, R.
- Mixed Methods Sampling; A Typology With Examples; 2007; Teddie, C.; Yu, F.
- Web Application Stress Testing and Blaise IS; 2007; O'Reilly, J. M.
- Analyses of Web Survey Data; 2007; Kuusela, V.
- Cognitive aspects of survey methodology; 2007; Schwarz, N.
- Panel Quality: Tips to Achieve Pure Sample, from Recruitment to Long-Term Engagement; 2007; Fitzgerald, D.
- Non-Response in the Panel Study of Belgian Households (1992-2002): An Output and Process Evaluation; 2007; De Keulenaer, F.
- Sensitive questions in surveys; 2007; Tourangeau, R., Yan, T.
- Webmasters, web policies, and academic libraries: a survey; 2007; Hendricks, A.
- Toward a Definition of Mixed Methods Research; 2007; Johnson, R. B., Onwuegbuzie, A. J., Turner, L. A.
- Sample bias, weights and efficiency of weights in a continuous web voluntary survey; 2007; de Pedraza, P., Tijdens, K., de Bustillo, R.
- What is Sexual Harassment? It Depends on Who Asks! Framing Effects on Survey Responses; 2007; Galesic, M., Tourangeau, R.
- Mixing modes of data collection in surveys: A methodological review; 2007; Roberts, C.
- Differences between respondents and nonrespondents in an Internet survey recruited from face-to-face...; 2007; Bandilla, W., Blohm, M., Kaczmirek, L. & Neubarth, W.
- XSight and the shaping of Marketing Analytics; 2007; Birks, D. F.
- Whither statistical metadata?; 2007; Westlake, A.
- Web survey design; 2007; Ma, Q., McCord, M.
- Web survey and representativeness: Close to three in ten Canadians do not have access to the Internet...; 2007; Bourque, C., Lafrance, S.
- Video mediated communication: Implications for surveys; 2007; Anderson, A. H.
- Utopia - a complete research management system; 2007; Brandwood, T.
- Triple-S: The broader horizon; 2007; Wright, Ge.
- The use of seasonal adjustment software within the Office for National Statistics; 2007; Hussain, F., McLaren, C. H., Stuttard, N.
- The Internet audience. Constitution & measurement; 2007; Bermejo, F.
- The influence of advance letters on response in telephone surveys; 2007; de Leeuw, E. D., Callegaro, M., Hox, J., Korendijk, E., Lensvelt-Mulders, G. J.
- The impact of cookie deletion on the accuracy of site-server and ad-server metrics: An empirical comScore...; 2007; Abraham, Ma., Meierhoefer, C., Lipsman, A.
- The challenge of geocoding large-scale travel surveys; 2007; J.Smith, A. J.