Web Survey Bibliography
The wording of questions is a crucial problem in questionnaire construction. We posit that the semantic meanings of single words or short statements may differ among respondents, their interpretations and, accordingly, the responses may vary among respondents. This assumption is tested in a representative survey among residents in a deprived area in Cologne, Germany, using a scale on “Perceived Neighbourhood Disorder” introduced by Ross and Mirowski (1999). In the translated German version of the scale, we used a split-half design, varying the phrasing of eight of the eleven items by using (a) low-brow (or everyday) or (b) high-brow (or elaborated) language. Besides testing the assumption that phrasing has an effect, we wished to explore the kind of effect it has on respondents of different socio-economic characteristics such as age and education, and also attitudinal variables. The results support our assumptions: phrasing has an effect, since answers and scale means differ significantly. Results of multivariate analyses suggest that the low-brow language version is the more appropriate way for item wording.
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Web survey bibliography - 2009 (509)
- Creation and Usability Testing of a Web-Based Pre-Scanning Radiology Patient Safety and History Questionnaire...; 2016; Robinson, T. J.; DuVall, S.; Wiggins III, R
- Mixed Research as a Tool for Developing Quantitative Instruments; 2009; Onwuegbuzie, A. J.; Bustamante, R. M.; A. A.Nelson, J. A.
- Slider Scales in Online Surveys; 2009; Cape, P. J.
- User’s Guide to the Advance Release of the 2008-2009 ANES Panel Study ; 2009; DeBell, M.; Krosnick, J. A.; Lupia, A.; Roberts, C.
- The denominator problem: Estimating MSM-specific incidence of sexually transmitted infections and prevalence...; 2009; Marcus, U., Schmidt, A. J., Kollan, C., Hamouda, O.
- Survey Research in the United States: Roots and Emergence 1890-1960 ; 2009; Converse, P. D.
- Practical Considerations in Raking Survey Data; 2009; Battaglia, M. P., Hoaglin, D.C, Franklin, P. D.
- Methods for oversampling rare subpopulations in social surveys; 2009; Kalton, G.
- Start of the LISS panel: Sample and recruitment of a probability-based Internet panel ; 2009; Scherpenzeel, A.
- Comparing response rates in e-mail and paper surveys: A meta-analysis; 2009; Shih, T.-H., Fan, X.
- Recycling and waste minimisation behaviours of the transient student population in Oxford: results of...; 2009; Robertson, S., Walkington, H.
- ESS Handbook for Quality Reports; 2009
- ESS Standard for Quality Reports; 2009
- Guest Blog: More on the Problems with Opt-in Internet Surveys; 2009; Langer, G.
- Psychological Factors Affecting Perceptions of Unsolicited Commercial E-mail; 2009; Morimoto, M., Chang, S.
- Innovations in Social Science Research Methods; 2009; Xenitidou, M., Gilbert, N.
- Where Is the unproctored Internet testing train headed now?; 2009; Tippins, N. T.
- Statistical disclosure control for survey data; 2009; Skinner, C.
- Response format effects on measurement of employment; 2009; Thomas, R. K., Dillman, D. A., Smyth, J. D.
- 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
- Internet alternatives to traditional proctored testing: Where are we now?; 2009; Tippins, N. T.
- From the Editor; 2009; Sackett, P. R.
- Exploring mode effects in a panel survey of new businesses; 2009; Santos, B., DesRoches, D.
- Dirty little secrets of online panels. And how the one you select can make or break your study; 2009
- comScore Media Metrix U.S. Methodlogy. An ARF research review; 2009; Cook, W. A., Pettit, R.
- Can we make official statistics with self-selection web surveys?; 2009; Bethlehem, J.
- Attitudes over time: The psychology of panel conditioning; 2009; Sturgis, P., Allum, N., Brunton-Smith, I.
- Association collaborative effort releases online research definitions, expands membership; 2009
- The Effect of Phrasing Scale Items in Low-Brow or High-Brow Language on Responses; 2009; Blasius, J., Friedrichs, J.
- Question and Questionnaire Design; 2009; Krosnick, J. A., Presser, S.
- Attrition in Consumer Panels; 2009; Tortora, R. D.
- Sample Design for Understanding Society ; 2009; Lynn, P.
- The 2008 Confirmit Annual Market Research Software Survey; 2009; Macer, T., Wilson, S.
- Predicting Tie Strength With Social Media; 2009; Karahalios, K., Gilbert, Er.
- A Special Report from the Advertising Research Foundation - The Foundations of Quality Initiative: A...; 2009; Walker, R., Pettit, R., Rubinson, J.
- A Web-Based Tool for Assessing and Improving the Usefulness of Community Health Assessments; 2009; Stoto, M. A., Straus, S. G., Bohn, C., Irani, P.
- The rise of survey sampling; 2009; Bethlehem, J.
- Using an ABS frame to recruit a probability-based online panel; 2009; DiSogra, C.
- Address Based Sampling: How to Do It, Practical Tips; 2009; Dutwin, D.
- Use of Incentives in Survey Research; 2009; Lavrakas, P. J.
- Stochastic properties of the Internet sample; 2009; Getka-Wilczynska, E.
- Continuous Measurement of Musically-Induced Emotion: A Web Experiment ; 2009; Egermann, H., Nagel, F., Altenmueller, E., Kopiez, R.
- E-epidemiology : Adapting epidemiological methods for the 21st century; 2009; Bexelius, C.
- Web based survey: an emerging tool; 2009; Srivenkataramana, T., Saisree, M.
- The Use of Online Methodologies in Data Collection for Gambling and Gaming Addictions; 2009; Griffiths, M. D.
- Questasy: Online Survey Data Dissemination Using DDI 3; 2009; de Bruijne, M., Amin, A.
- Methodeneffekte von Web-Befragungen: Soziale Erwünschtheit vs. Soziale Entkontextualisierung; 2009; Taddicken, M.