Web Survey Bibliography
Online survey programs allow researchers to customize a survey and place it on the Internet for participants to access. Individuals can create their own surveys and post them online, post existing surveys, or, if survey design is difficult, even purchase premade surveys and customize them to meet one’s individual needs. The option of online surveys is quickly becoming a popular means of collecting data in today’s research world. In fact, Cook, Heath, and Thompson (2000) suggest that the possibilities provided through Internet surveys are “too great to be ignored” (p. 833).
Many options are available for researchers wanting to explore this means of data collection. Therefore, this paper has multiple goals. The first is to discuss the relevance of online survey tools in work-family literature. Second is to discuss several of the survey options available, including features common to most programs, as well as to discuss some unique features of each. Lastly, this paper will outline some of the methodological concerns and disadvantages associated with online surveys in order to identify strategies to avoid potential pitfalls. This section will conclude with a discussion on the advantages of online survey tools.
Multiple web-based survey options were examined for this paper (Assess, Qualtrics, StudyResponse Survey Gizmo, Survey Gold, SurveyMonkey, ZipSurvey, and Zoomerang), but specific applications in these survey tools are subject to change. Researchers are encouraged to do their own comparison of different tools based on their specific needs.
Work and Family Encyclopedia Homepage (abstract) / (full text)
Web Survey Bibliography - Reports, seminars (263)
- Ten questions to ask your online survey provider; 2013
- Survey quality prediction system 2.0; 2013
- Non-probability sampling AAPOR task force report; 2013; Brick, J. M. et al.
- Mode Matters: Evaluating Response Comparability in a Mixed-Mode Survey; 2013; Bowyer, B. T., Rogowski, J. C.
- Askito: An open source Web questionnaire tool; 2013; Reips, U. -D., Heilmann, T.
- Tracking preference expression (DNT); 2012
- The rise of the "connected viewer"; 2012; Smith, A., Boyles, J. L.
- The cross platform report. Q2 -2012 - US; 2012
- Smartphone ownership update: September 2012; 2012; Rainie, L.
- Participation of mobile users in traditional online studies; 2012; Jue, A.
- Online survey statistics for the mobile future. Updated with Q3 2012 data; 2012
- Ofcom technology tracker Wave 3; 2012
- Ofcom technology tracker Wave 2; 2012
- Norme di qualita' Assirm (Assirm quality rules]; 2012
- NBCU enlists Google, ComScore to track multiscreen Olympics viewing; 2012; Spangler, T.
- MRS Guidelines for online reseach; 2012
- More dirty little secrets of online panel research.; 2012
- Mobile email opens report 2nd half 2011; 2012
- Media tracker; 2012
- Measuring modern media consumption; 2012; Arini, N.
- ISO 20252. Market, opinion and social research-Vocabulary and service requirements, 2nd Edition; 2012
- Internet use in households and by individual in 2012. Eurostat Statistics in Focus 50/2012; 2012; Seybert, H.
- Internet access - Households and individuals, 2012 part 2; 2012
- Internet access - Households and individuals, 2012; 2012
- Google et Médiamétrie créent une audience bimédia; 2012; Gonzales, P.
- GMI Pinnacle; 2012
- Global market research 2012; 2012
- Eurobarometer Special surveys: Special Eurobarometer 381; 2012
- Ebook readings jumps, print book reading declines; 2012; Rainie, L., Duggan, M.
- Digital Divides: A connectivity continuum for the United States. Data from the 2011 Current Population...; 2012; File, T.
- Adult gadget ownership over time (2006-2012); 2012
- WebSM Study: Survey software features overview ; 2012; Vehovar, V.; Cehovin, G.; Kavcic, L.; Lenar, J.
- The World's Simplest Survey Microsimulator (WSSM); 2012; Karr, A. F., Cox, L. H.
- Impact and the Research Excellence Framework: New challenges for universities; 2012; Grant, J.
- Mobile Befragungen: Was Big Data mit kleinen Geräten zu tun hat; 2012
- Understanding Mode Effects between Mobile Web and Mobile SMS Surveys; 2012; Poduska, B., Johnson, P.
- An Initial Look at Non-Response and Attrition in Understanding Society; 2012; Lynn, P., Burton, J., Kaminska, O., Knies, G., Nandi, A.
- Understanding Society Innovation Panel Wave 4: Results from Methodological Experiments; 2012; Burton, J., Budd, S., Gilbert, E., Jaeckle, A., Kaminska, O., Uhrig, S.C. N., Brown, M., Calderwood,...
- The Propensity of Older Respondents to Participate in a General Purpose Survey; 2012; Lynn, P.
- Mode-Switch Protocols: How a Seemingly Small Design Difference can affect Attrition Rates and Attrition...; 2012; Lynn, P.
- The Confirmit Annual Market Research Software Survey 2011; 2012; Macer, T.,
- Marktforschung mit dem iPad-Panel von Axel Springer Media Impact; 2012
- Comparing Google Consumer Surveys to Existing Probability and Non-Probability Based Internet Surveys...; 2012; McDonald, P., Mohebbi, M., Slatkin, B.
- The Impact of Visual Design in Survey Cover Letters on Response and Web Take-Up Rates; 2012; Mockovak, W.
- The impact of cookie deletion on site-server and ad-server metrics in Australia. An empirical comScore...; 2011
- The GfK NOP Media Efficiency Panel; 2011; Moy, C. et al.
- Survey paradata: a review; 2011; Nicolaas, G.
- State of mobile measurement; 2011; Gluck, M.
- SDSC Announces scalable, high-performance data storage cloud; 2011