Web Survey Bibliography
One of the challenges in business surveys is to achieve sufficiently high response rates at reasonable cost. High response rates not only increase the number of cases available for analysis, but also provide some insurance against nonresponse bias. A response rate is typically defined as the number of completed surveys divided by the total number of sample cases (including partial surveys, but excluding ineligibles).
Because some respondents quit the survey before it is finished (“partial interviews”), one strategy to increase the response rate is to convert partial interviews to complete interviews. This also makes good sense from a cost perspective since drawing in new respondents is often more difficult (and costly) than keeping respondents going.
This presentation discusses some strategies to minimize the relative number of partial surveys. More specifically, the effects of questionnaire design will be discussed in light of “human computer interaction” (“usability”). The main thesis is that good design leads to higher quality responses and to more completed (and less partial) surveys. We will discuss “Internet survey paradata”. This is a tool that enables researchers to detect design problems and to optimize the design of the survey instrument. A number of design issues, such as progress indicators and error messages, will be discussed from the perspective of paradata.
Web survey bibliography (4086)
- The Video-Enhanced Web Survey Data Quality and Cognitive Processing of Questions; 2009; Fuchs, M.
- Representativeness of Mobile Internet Surveys-A comparative study of CAMI vs. CATI - GOR 2009; 2009; Maier, U., Neubarth, W., Grosser, A., Hombach, A.
- Having their say: email interviews for research data collection with people who have verbal communication...; 2009; Ison, N.
- Engaging faculty through collection development utilizing online survey tools ; 2009; Jensen, K.
- Internet questionnaires in e-health contexts: Non-response to sensitive items; 2009; Reips, U.-D., Buchanan, T., Joinson, A. N., Paine, C.
- Collecting data in surfer's paradise: Internet-mediated research yesterday, now, and tomorrow; 2009; Reips, U.-D.
- A decade of Internet-based data collection: Time is ripe for combining e-learning with i-science; 2009; Reips, U.-D.
- Experimentation within surveys; 2009; Reips, U.-D.
- Media research: can technology replace interviews?; 2009; Windle, R.
- Prospects for mixed-mode data collection in cross-national surveys; 2009; Eva, G., Jowell, R.
- Online audio group discussions: a comparison with face-to-face methods; 2009; Cheng, C. C., Krumwiede, D., Sheu, C.
- Forum - Research 2.0: engage or give up the ghost?; 2009; Oxley, M., Light, B.
- A hybrid online and offline approach to market measurement studies; 2009; Cooke, M., Watkins, N., Moy, C.
- "Connected research" - How market research can get the most out of semantic web waves; 2009; Schillewaert, N., De Ruyck, T., Verhaeghe, A.
- Analyzing the Cost-Effectiveness of Using Return Receipt and Address Corrections in Mail Surveys; 2009; Stuckey, H. L., Malhotra, N., Sims, B. A., Walters, M. R.
- Summaries of Address-Based Sampling Presentations at the AAPOR Annual Meeting; 2009; W., Daily, G., Shuttles, D. C., Yancey, L. T., Thu Burks, A., Bourquin, C.Link, M. W.
- Can Survey Respondents with Visual Deficits Complete My Web Survey?; 2009; Malakhoff, L.
- How Many Scale Points Should I Include for Attitudinal Questions?; 2009; Maitland, A.
- Should I label all scale points or just the end points for attitudinal questions?; 2009; Maitland, A.
- Impact of T-ACASI on Survey Measurements of Subjective Phenomena ; 2009; Harmon, T., Rogers, S. M., Eggleston, E., Roman, A. M., Villarroel, M. A., Chromy, J. R., Ganapathi,...
- Quantification of Qualitative Data from Surveys; 2009; Aysoy, C., Rajagopalan, S., Lyziak, T., Oral, E.
- Integrated Household Surveys - Design, Implementation and Estimation; 2009; Silva, D., Smith, P., Lee, G., Quinstlr, M.
- New Methodologies in Sampling Rare and Elusive Populations; 2009; Pal, S., Thompson, S., Kalton, G., Lynn, P.
- Nonresponse Bias in Surveys; 2009; Bethlehem, J., Vehovar, V., Stoop, I., Schouten, B., Shlomo, N., Skinner, C., Montaquila, J.
- Measuring and Assessing Respondent; 2009; Penny, R., Hedlin, D., Merrington, R., Pistorius, M.
- Contemporary Methodological Challenges in Social Statistics; 2009; Glaude, M., Dash, J., Stukel, D., Verma, V., Sundström, A., Arora, A., Townsend, M., Gordon, N. M.
- Internet versus paper-and-pencil survey methods in psychological experiments: Equivalence testing of...; 2009; Lewis, I., Watson, B., White, K. M.
- Combining Web-Based and Mail Surveys Improves Response Rates: A PBRN Study From PRIME Net; 2009; Kroth, P. J., McPherson, L., Leverence, R., Pace, W., Daniels, E., Rhyne, R. L., Williams, Ro. L.
- Open-Ended Questions in Web Surveys: Can Increasing the Size of Answer Boxes and Providing Extra Verbal...; 2009; Smyth, J. D., Dillman, D. A., Christian, L. M., McBride, M.
- The effect of varying the number of response alternatives in rating scales: Experimental evidence from...; 2009; Maydeu-Olivares, A., Kramp, U., García-Forero, C., Gallardo-Pujol, D., Coffman, D.
- Timing accuracy of Web experiments: A case study using the WebExp software package; 2009; Keller, F., Gunasekharan, S., Mayo, N., Corley, M.
- A usability of a new graphical shopping interface through GlobalPark; 2009; Groenen, P. J. F., Kagie, M.
- Investigating causal relationships with power: Online experiments; 2009; Reips, U.-D.
- Effectiveness of incentives in web surveys within mixed-mode systems: An evaluation of errors & costs...; 2009; Lozar Manfreda, K.
- The reparation of trust after negative feedback – the results of two online experiments among...; 2009; Utz, S.
- Representativeness of web surveys to the general public ; 2009; Sonck, N.
- Effects of data collection technique on the quality of data: A MTMM study of CATI, CAPI and Online interviews...; 2009; Scherpenzeel, A.
- Using Internet survey paradata to optimize survey questionnaire design; 2009; Heerwegh, D.
- The Mobile-only Population in Portugal and Its Impact in a Dual Frame Telephone Survey; 2009; Vicente, P., Reis, E.
- Impact of mixed survey modes on physical activity and fruit/vegetable consumption: A longitudinal study...; 2009; Nigg, C. R., Motl, R. W., Wong, K. T., Yoda L. U., McCurdy, D. K., Paxton, R., Horwath, C. C., Dishman...
- Nonresponse in the Recruitment of an Internet Panel Based on Probability Sampling; 2009; Hoogendoorn, A., Daalmans, J.
- The utility of online panel surveys versus computer-assisted interviews in obtaining substance-use prevalence...; 2009; Spijkerman, R., Knibbe, R., Knoops, K., van de Mheen, D., van den Eijnden, R.
- Internet research differs from research on internet users: some methodological insights into online...; 2009; Lohmann, M., Schmucker, D. J.
- Find out what your people really think: How to maximize response rates to employee satisfaction surveys...; 2009; Lusty, D.
- Improving survey response in mail and internet general public surveys using address-based sampling and...; 2009; Messer, B. L.
- Are Mode Preferences Real?; 2009; Millar, M. M., O'Neill, A. C., Dillman, D. A.
- Gender-of-Interviewer Effects in a Video-Enhanced Web Survey: Results from a Randomized Field Experiment...; 2009; Fuchs, M.
- Psychometric properties of internet administered versions of Penn State Worry Questionnaire (PSWQ) and...; 2009; Zlomke, K. R.
- An Update on Survey Measures of Web-Oriented Digital Literacy; 2009; Hargittai, E.
- The Internet as a research site: establishment of a web-based longitudinal study of the nursing and...; 2009; Huntington, A., Gilmour, J., Schluter, P., Tuckett, A., Bogossian, F., Turner, C.