Web Survey Bibliography
Survey researchers have reported differing results on frequency distributions when the same item is delivered via an interactive voice response (IVR) system versus the web. The current paper expands such research into the organizational research field and evaluated the hypothesis that respondent motivation affects the occurrence of mode differences. In this study, personnel selection instruments using five-point Likert scales were administered to job applicants and job incumbents. Data were collected via IVR or via the web. With job incumbents, the mode effect observed was similar in magnitude to that observed in the survey research literature. However, with job applicants the mode effect was smaller.
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Web survey bibliography - International Journal of Social Research Methodology (13)
- Incorporating eye tracking into cognitive interviewing to pretest survey questions; 2016; Neuert, C.; Lenzner, T.
- Participant recruitment and data collection through Facebook: the role of personality factors; 2016; Rife, S. C.; Cate, K. L.; Kosinski, M.; Stillwell, D.
- Presentation matters: how mode effects in item non-response depend on the presentation of response options...; 2016; Zeglovits, E.; Schwarzer, S.
- Email subject lines and response rates to invitations to participate in a web survey and a face-to-face...; 2015; Sappleton, N.; Lourenco, F.
- The quality of responses to grid questions as used in Web questionnaires (compared with paper questionnaires...; 2015; Dominguez, J. A.; de Rada, V. D.
- PDAs in socio-economic surveys: instrument bias, surveyor bias or both?; 2013; Escobal, J., Benites, S.
- IVR and web administration in structured interviews utilizing rating scales: exploring the role of motivation...; 2011; Yang, Y., Callegaro, M., Bhola, D. S., Dillman, D. A.
- Item non-response rates: a comparison of online and paper questionnaires ; 2009; Denscombe, M.
- Having their say: email interviews for research data collection with people who have verbal communication...; 2009; Ison, N.
- Quality Criteria for Quantitative, Qualitative and Mixed Methods Research: A View from Social Policy...; 2008; Bryman, A., Becker, S., Sempik, J.
- The effect of personalization on response rates and data quality in web surveys; 2005; Heerwegh, D., Vanhove, T., Matthijs, K., Loosveldt, G.
- Computer software and qualitative analysis: trends, issues and resources; 2000; Lee, R. M., Esterhuizen, L.
- 'Once would be enough': some reflections on the issue of safety for lone researchers ; 1999; Kenyon, E., Hawker, S.