Web Survey Bibliography
Title Internet Survey Developments At Statistics Netherlands
Author Bethlehem, J.
Source 55th ISI Session 2005
Access date 17.05.2005
Abstract National Statistical Offices (NSI’s) collect data with traditional paper forms or with some mode of computer-assisted interviewing (CAI). Application of computer-assisted data collection has three major advantages: (1) It simplifies the work of interviewers, because they do not have to pay attention any more to choosing the correct route through the questionnaire, (2) it improves the quality of the collected data, because answers can be checked and corrected during the interview, and (3) it considerably reduces time needed to process the survey data, and thus improves the timeliness of the survey results. More on the benefits of CAI can be found in Couper et al. (1998). Now that the Internet has developed so rapidly over the last decade, it can also be used for data collection. One form of an Internet survey is a web survey. The questionnaire is designed as a website, which can be accessed by respondents. Another example is an e-mail-survey, which requires that people fill in and return forms that are part of an e- mail or are attached to an e-mail. At first sight, Internet surveys seem to have some attractive advantages. First, it is a simple means to get access to a large group of potential respondents. Second, no interviewers are needed, and there are no mailing costs. Third, surveys can be launched very quickly. No time is lost between the moment the questionnaire is ready and the start of the fieldwork. And fourth, particularly web surveys offer new, attractive possibilities, such as the use of multimedia (sound, pictures, animation, and movies). However, there are methodological problems. These are partly caused by using the Internet for selecting respondents, and partly by using the web as a measuring instrument. If these problems are not seriously addressed, Internet surveys may result in low quality data for which no proper inference can be made with respect to the target population of the survey.
Access/Direct link ISI 2005 homepage
Year of publication2005
Bibliographic typeConferences, workshops, tutorials, presentations
Web Survey Bibliography - Bethlehem, J. (32)
- Web Panels; 2012; Bethlehem, J., Biffignandi, S.
- Use of Response Propensities; 2012; Bethlehem, J., Biffignandi, S.
- Weighting Adjustment Techniques; 2012; Bethlehem, J., Biffignandi, S.
- The Problem of Self-Selection; 2012; Bethlehem, J.,Biffignandi, S.
- The Problem of Undercoverage; 2012; Bethlehem, J., Biffignandi, S.
- Mixed-Mode Surveys; 2012; Bethlehem, J., Biffignandi, S.
- Designing a Web Survey Questionnaire; 2012; Bethlehem, J., Biffignandi, S.
- Web Surveys: Methodological Problems and Research Perspectives; 2012; Biffignandi, S., Bethlehem, J.
- About Web Surveys ; 2012; Bethlehem, J., Biffignandi, S.
- Errors in Web Surveys; 2012; Bethlehem, J., Biffignandi, S.
- Sampling for Web Surveys.; 2012; Bethlehem, J., Biffignandi, S.
- The Road to Web Surveys; 2012; Bethlehem, J., Biffignandi, S.
- Web Surveys and Other Modes of Data Collection; 2012; Bethlehem, J., Biffignandi, S.
- Handbook of Web Surveys; 2012; Bethlehem, J. Biffignandi, S.
- Handbook of Nonresponse in Household Surveys ; 2011; Bethlehem, J., Cobben, F., Schouten, B.
- Can web surveys provide an adequate alternative to phone and face to face surveys?; 2011; Bethlehem, J.
- How Representative Are Online Panels? Problems of Coverage and Selection and Possible Solutions; 2010; Bethlehem, J., Scherpenzeel, A.
- Selection Bias in Web Surveys; 2010; Bethlehem, J.
- Can we make official statistics with self-selection web surveys?; 2009; Bethlehem, J.
- The rise of survey sampling; 2009; Bethlehem, J.
- New developments in survey methodology for official statistics; 2009; Bethlehem, J.
- Indicators for the representativeness of survey response; 2009; Schouten, B., Cobben, F., Bethlehem, J.
- Use of Web surveys in Official Statistics; 2009; Bethlehem, J.
- Applied Survey Methods: A Statistical Perspective (Wiley Series in Survey Methodology); 2009; Bethlehem, J.
- Nonresponse Bias in Surveys; 2009; Bethlehem, J., Vehovar, V., Stoop, I., Schouten, B., Shlomo, N., Skinner, C., Montaquila, J.
- Representativity of web surveys – an illusion?; 2008; Bethlehem, J.
- How accurate are self-selection web surveys?; 2008; Bethlehem, J.
- Online Panels - A Paradigm Theft? ; 2007; Bethlehem, J., Stoop, I.
- Access Panels and Survey Nonresponse: Making It Better or Worse?; 2007; Stoop, I., Bethlehem, J., de Bie, S.
- Blaise – Alive and kicking for 20 years; 2006; Bethlehem, J., Hofman, L.
- Internet Survey Developments At Statistics Netherlands; 2005; Bethlehem, J.
- TADEQ: A Tool for the Documentation and Analysis of Electronic Questionnaires; 2004; Bethlehem, J., Hundepool, A.