Web Survey Bibliography
Title Using Behaviour Coding to Analyze Interviewer/Respondent Interactions with a Mobile Computing Device
Author Hunter, J. E., Landreth, A.
Year 2005
Access date 20.05.2005
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Presentation ppt (1228k)
Abstract The U.S. Census Bureau recently used mobile computing devices (pocket PCs) for the first time to gather census data as a part of the non-response follow-up effort of a decennial census test. The computer-assisted personal interview (CAPI) instrument was created by modifying demographic questions from the self-administered census form. The survey instrument contained an English and a Spanish version of the questions, and allowed interviewers to select the language for the interview and �toggle� back and forth between languages, if needed, during an interview.
This paper explores issues surrounding the automation of a paper instrument using a mobile computing device and its effect on interviewer/respondent interactions. Advantages of survey instrument automation include the ability to encourage standardized interviewing procedures and the ability to automate complex survey paths and �fills� without undue burden for the interviewers, both of which are thought to reduce interviewer effects and non-sampling error. In order to evaluate the success of this newly automated instrument, using the pocket PC , a sample of about 250 interviews were audio-taped with respondents� permission and behaviour coded. Behaviour coding is the systematic coding of the interactions between an interviewer and a respondent, and is commonly used to identify survey questions that cause problems at the administration and/or response stage. This paper explores problems with the interview, as it was conducted on the pocket PC, both at a question level, and overall. We investigate whether the automation of this survey encouraged standardized interviewing procedures by looking at how interviewers read the questions, and we also look for questions that caused particular problems for respondents to answer. We discuss mode-specific problems that arose in the interview and propose suggestions for future surveys that use a similar method of data collection.
This paper explores issues surrounding the automation of a paper instrument using a mobile computing device and its effect on interviewer/respondent interactions. Advantages of survey instrument automation include the ability to encourage standardized interviewing procedures and the ability to automate complex survey paths and �fills� without undue burden for the interviewers, both of which are thought to reduce interviewer effects and non-sampling error. In order to evaluate the success of this newly automated instrument, using the pocket PC , a sample of about 250 interviews were audio-taped with respondents� permission and behaviour coded. Behaviour coding is the systematic coding of the interactions between an interviewer and a respondent, and is commonly used to identify survey questions that cause problems at the administration and/or response stage. This paper explores problems with the interview, as it was conducted on the pocket PC, both at a question level, and overall. We investigate whether the automation of this survey encouraged standardized interviewing procedures by looking at how interviewers read the questions, and we also look for questions that caused particular problems for respondents to answer. We discuss mode-specific problems that arose in the interview and propose suggestions for future surveys that use a similar method of data collection.
Access/Direct link Mobile Computing conference
Year of publication2005
Bibliographic typeConferences, workshops, tutorials, presentations
Web Survey Bibliography - 2005 (418)
- Web-Enabled Coding Procedures in the National Survey on Drug Use and Health; 2005; Handley, W.
- Examining the Effectiveness of Telephone Promoting in Increasing Self-Administered Web Participation; 2005; Franklin, J.
- Prompting Efforts to Raise Response Rates for a Web-Based Survey; 2005; Parker, M.
- The Effectiveness of E-mail in Obtaining Respondednts for Web-based Surveys; 2005; Jewell, D.
- Conducting the 2004 NKDEP (National Kidney Disease Education Program) Follow-Up Study: Lessons in a...; 2005; Bason, J. J.
- A Survey of Teachers: Comparing Web and Mail Survey Modes; 2005; Baldwin, M.
- Comparison of Web-Based & In-Person Survey Modes with 18 Year Olds; 2005; Muljat, A.
- Web Based CATI Case Management System; 2005; Suresh, R.
- Administering Surveys on the Internet; 2005; Best, S. J.
- Biases in internet sexual health samples: Comparison of an internet sexuality survey and a national...; 2005; Ross, M. W., Mansson, S.-A., Daneback, K., Cooper, A., Tikkanen, R.
- Survey Quality and Mobile Phones; 2005; Kuusela, V., Notkola, V.
- Estimating the Working Number Rate for a Cellular Telephone Survey; 2005; Steeh, C. G., Hu, Z.
- Mobile self-interviewing: an opportunity for location-based marked research; 2005; Tjostheim, I.
- Bleeding Edge or Proven Technology? The Fact and the Fiction of Mobile Survey Computing; 2005; Cameron, M. R.
- Internet Survey Developments At Statistics Netherlands; 2005; Bethlehem, J.
- A Web-based Survey Creator; 2005; Payne, B., Crawford, E.
- A Comparison of Nonresponse Adjustment Methods with the Case Study of HIES; 2005; Yeanok, Y., Semi, K.
- Compilation of Composite Satisfaction Index in User Satisfaction Survey; 2005; Sam Min, K., Park, J.
- Major issues for improving the web-based data collection system; 2005; Jeon, J.
- Survey Automation through ActiveX components and XML Web Services; 2005; Segui, F.
- The Dutch Virtual Census of 2001; 2005; Nordholt, E. S.
- CAPI at MORI - A decade of mobile interviewing; 2005; Johnson, A. J.
- Developing a Mobile Transportation Survey System; 2005; Bates, I., Ramsey, B.
- Using Behaviour Coding to Analyze Interviewer/Respondent Interactions with a Mobile Computing Device; 2005; Hunter, J. E., Landreth, A.
- The Market Value Survey: Ensuring Quality on a Government Web Based Survey; 2005; Flatley, J., Ruston, D.
- A Comparison of an Online Card Sorting Task to a Rating Task; 2005; Thomas, R. K., Bayer, L. R., Johnson, A. M., Behnke, C. S.
- Unintended Consequences of Incentive Induced Response Rate Differences; 2005; Pope, D., Crawford, S. D., Johnson, E. O., McCabe, S. E.
- The Use of Monetary Incentives in the Survey of Income and Program Participation; 2005; Lewis, D., Creighton, K.
- A Comparison of Presidential Candidate Vote Intention Measures in U.S. Elections; 2005; Thomas, R. K., Krane, D., Sanders, M. G., Behnke, C. S.
- An Investigation of Response Difference between Cell Phone and Landline Interviews; 2005; Dipko, S., Brick, P. D., Brick, J. M., Presser, S.
- Mode Effects in Customer Satisfaction Measurement; 2005; Stegier, D.M., Keil, L., Gaertner, G.
- Prompting Efforts to Raise Response Rates for a Web-Based Survey; 2005; Venkataraman, L., Parker, M.
- From Crayons to Computers: The Evolution of Computer use in Redistricting; 2005; Altman, M., MacDonald, K., McDonald, M. P.
- Survey Measures of Web-Oriented Digital Literacy; 2005; Hargittai, E.
- Vote Over-Reporting: Testing the Social Desirability Hypothesis in Telephone and Internet Surveys; 2005; Holbrook, A. L., Krosnick, J. A.
- The Impact of Follow-up Contacts od Survey Data and Response Rates; 2005; Westin, E., Harmon, M., Levin, K.
- Mixed Mode Data Collection Using Paper and Web Questionnaries. A Cost and Response Rate Comparison in...; 2005; Werner, P., Forsman, G.
- Are Web Options Making a Difference?; 2005; Mooney, G., Rogers, B., Wood, M., Trunzo, D.
- High Response Rate or Better Data Quality? Examining the Trade-offs for an Establishment Survey; 2005; Harris-Kojetin, L., Kiefer, K.
- To Vote or Not to Vote?: A Comparison of Vote Intention Measures; 2005; Thomas, R. K., Sanders, M. G., Smith, R., Behnke, C. S.
- Reporting Standards for Internet Surveys and Polls; 2005; Tychansky, R. S.
- Effect of Respondent Motivation and Tack Difficulty on Nondifferentiation in Ratings: A Test of Satisficing...; 2005; Anand, S., Krosnick, J. A., Mulligan, K., Smith, W., Green, M. C., Bizer, G. Y.
- Comparing Major Survey Firms in Terms of Survey Satisficing: Telephone and Internet Data Collection; 2005; Krosnick, J. A., Nie, N., Rivers, D.
- Response Order Effects in Online Surveys; 2005; Thomas, R. K., Behnke, C. S., Johnson, A. M.
- Causes of Context Effects: How Questionnaire Layout Induces Measurement Error; 2005; Peytchev, A., Tourangeau, R.
- Can You Hear Me Now?: Differences in Vote Behavior in the Cell and Landline Populations; 2005; Albaghal, T.
- Using the Web to Survey College Students: Institutional Characteristics That Influence Survey Quality...; 2005; Crawford, S. D., McCabe, S. E., Inkelas, K. K.
- What They See Is Not What We Intend-Gricean Effects in Web Surveys; 2005; Yan, T.
- Visual Context Effects in Web Surveys; 2005; Couper, M. P., Conrad, F. G., Tourangeau, R.
- Interactive Feedback Can Improve Quality of Responses in Web Surveys; 2005; Conrad, F. G., Couper, M. P., Tourangeau, R., Galesic, M.