Web Survey Bibliography
Relevance & Research Question
The market research industry is wedded to quota controls. We apply Age and Gender quotas without a second thought as to why or indeed whether they are doing any good at all. Our argument is that, in the modern online sampling world, a different set of stratifications must be applied and our old assumptions simply do not apply. Why not? The answer, in common with so many of the problems in sampling in online research, lies in the frame. The frame in traditional research was close to the population; therefore a quota controlled random sample would tend to produce samples that, within the quota strata, also contained representative numbers of all other attitudes and behaviours. This is not the case with online access panels.
Methods and Data
Our experiment uses our US panel; the topic, eye colour, is unrelated to Age and Gender but is strongly related to Ethnicity. We have conducted 2 samples. The first strictly controlled on Age, Gender and Region, the second controlled on Ethnicity alone. Our Age Gender Region ‘nat rep’ sample should underestimate the number with brown eyes. The Ethnicity we expect to estimate eye colour extremely well. At the same time a third sample will be drawn which is simply “random enough”. Our expectation is that this sample will also under-perform on eye colour but will equal the findings from “nat rep” sample 1. A second experiment will be undertaken where the variable of interest is unrelated to anything –left- or right-handedness. Our hypothesis is that all three samples will perform equally well.
The results are precisely as predicted.
Researchers, particularly in the commercial world, apply quota controls to ensure “representivity” as a matter of practice, they do it because they have been told to, it is part of the folklore of market research. This is not sustainable in a world where we are no longer dealing with essentially incomplete frames. More science and less folklore needs to be applied to make the best of an increasing unscientific world.
Conference Homepage (abstract) / (presentation)
Web Survey Bibliography (6797)
- Exploring patterns of academic usage: A Google Scholar based study of ESS, EVS, WVS and ISSP academic...; 2013; Malnar, B.
- Adding Observation to Copy Testing with Kids; 2013; Hurley, B., Salo, M.
- Web questionnaires in official population surveys: Do's and don'ts First experiments and impacts...; 2013; Blanke, K.
- Gamified Surveys: Journey Into Product Development; 2013; Adamou, B.
- Phish Rising: How Internet Criminals are Undermining the Viability of Online Survey Research…and...; 2013; Kunovic, K.
- The State of Technology in Market Research; 2013; Macer, T.
- Avatare in der Marktforschung: Effekte künst-licher Interviewer im Online-Interview; 2013; Luetters, H.
- Möglichkeiten zur impliziten Messung von Emotionen am Beispiel webcambasierter Gesichtsausdruckserkennung...; 2013; Wachenfeld, A., Moentmann, A., Bernet, F.
- Historic Resource Surveys and the Internet; 2013; The Center for Historic Architecture University of Houston Gerald D. Hines College of Architecture
- Mode effects in Labour Force Surveys - do they really matter?; 2013; Koerner, T.
- Effects of Sponsorship on Response: Mixed-Mode Web and Mail Surveying ; 2013; Edwards, M. L., Dillman, D. A., Smyth, J.
- Identifying and Mitigating Satisficing in Web Surveys: Some Experimental Evidence; 2013; Rossmann, J.
- Does left still feel right? The optimal position of answer boxes in Web surveys - revisited; 2013; Lenzner, T., Kaczmirek, L.,Galesic, M.
- Latent legitimacy: joint effects of religious orientation on the association between values and acceptance...; 2013; Henseler, A. K., Siegers, P., Beckers, T.
- Identifying Satisficing Respondents in Web Surveys: A Comparison of Different Response Time-Based Approaches...; 2013; Rossmann, J.
- Comparison of quality of web survey and CATI data using unobtrusive response latencies; 2013; Mayerl, J.
- A walking exercise on a tightrope: trying to balance coverage, probabilistic sampling and the costs...; 2013; Poggio, T.
- Comparability of substantive results between modes and incentive conditions in a probability-based telephone...; 2013; Pekari, N.
- Designing a Pilot to Introduce Web Collection in the UK Labour Force Survey; 2013; Merad, S.
- Data Collection Method Comparisons for the 2011 Fishing, Hunting, and Wildlife-Associated Recreation...; 2013; Herbstritt, M., Hornick, D.
- Trends in Dutch egalitarian attitudes, 1975-2010: An age-period-cohort analysis; 2013; Meuleman, B., Oorschot, W. V.
- Comparing Questionnaire Pretesting Methods for the 2015 Population and Housing Census of Korea; 2013; Park, Y.
- Evaluating the middle category in the left-right self-placement question: Category Selection Probing...; 2013; Hufken, V., Rottinghaus, B.
- Mixed Methods in Cognitive Interviewing: An analysis of the Russian version of the Schwartz Value Survey...; 2013; Efremova, M., Panyusheva, T.
- A mixed methods approach to investigate how Cognitive Interviewing findings can improve the validity...; 2013; Padilla, J. L., Miller, K., Loeb, M.
- Exploring the results of pre-testing questions developed for the European Social Survey: Comparing...; 2013; Widdop, S.
- Validity of Measuring Educational Attainment - Education and Value Orientation in the European Values...; 2013; Ortmanns, V.
- The comparability of Don't Know answers between CATI and CAWI modes; 2013; Pohjanpaa, K., Jarvensivu, M.
- Measuring the same concepts in several modes in the "BIBB/BAuA-Employee-Survey 2011/12" ; 2013; Gensicke, M., Tschersich, N., Hartmann, J.
- Error Prevention through Interviewer Emulation? Introducing questionnaire dialogues in the Norwegian...; 2013; Gravem, D. F.
- Multiple Group Confirmatory and Exploratory Factor Analysis: Exploring Measurement Invariance by Rotational...; 2013; Asparouhov, T.
- BSEM Measurement Invariance Analysis; 2013; Muthen, B. O.
- Leveraging Auxiliary Data, Differential Incentives, and Survey Mode to Target Hard-to-Reach Groups in...; 2013; Link, M. W., Thu Burks, A.
- Does It Pay Off to Include Non-Internet Households in an Internet Panel? ; 2013; Leenheer, J., Scherpenzeel, A.
- ReCal OIR: Ordinal, Interval, and Ratio Intercoder Reliability as a Web Service; 2013; Freelon, D. G.
- Classifying Mouse Movements and Providing Help in Web Surveys; 2013; Horwitz, R.
- Video Interviewing: An Exploration of the Feasibility as a Mode of Survey Application; 2013; Jeannis, M., Terry, T. L., Heman-Ackah, R., Price, M.
- Matching Data Collection Method to Purpose: In the Moment Data Collection with Mobile Devices for Occasioned...; 2013; Shea, C., Roberts, M., Johnson, E. P., Hadlock, W.
- Filling the Void: Gaining a Better Understanding of Tablet-based Surveys; 2013; Wells, T., Bailey, J., Link, M. W.
- Old versus New: The Comparative Efficiency of Mail and Internet Surveys of State Legislators.; 2013; Fisher, S. H., Herrick, R.
- Mail and Web-Based Survey Administration: A Case Study With Recreational Users of Virginia's Wildlife...; 2013; Carrozzino-Lyon, A. L., McMullin, S. L., Parkhurst, J. A.
- The 2012 Confirmit Annual Market Research Software Survey; 2013; Macer, T., Wilson, S.
- A mixed-mode survey tackling against an increasing rate of nonresponse; 2013; Jokinen, M.
- Using Mixed-Mode Contacts in Client Surveys: Getting More Bang for Your Buck; 2013; Israel, G. D.
- Using Eye Tracking Data to Understand Respondent's Processing of Rating Scales; 2013; Kunz, T., Fuchs, M.
- Advancing the field of questionnaire translation - identifying problems, discussing methods, pushing...; 2013; Behr, D., Dorer, B., Van Houten, G
- European Values Study - methodological and substantive applications; 2013; Luijkx, R., Jagodzinski, W.
- The Impact of Culture and Economy on Values and Attitudes; 2013; Duelmer, H., Voicu, M.
- Educational attainment in cross-national surveys: instrument design, data collection, harmonisation...; 2013; Schneider, S.
- Mode Effects in Mixed-Mode Surveys: Prevention, Diagnostics, and Adjustment 1; 2013; de Leeuw, E. D., Dillman, D. A., Schouten, B.