Web Survey Bibliography
Title Evaluation Results from a Pilot Test of a Computerized Self-Administered Questionnaire (CSAQ) for the 1994 Industrial Research and Development (R&D) Survey
Source U.S. Census Bureau
Year 1995
Access date 14.07.2004
Full text pdf (216k)
Abstract We performed this evaluation to determine whether economic respondents could quickly, easily and accurately provide data using a CSAQ. We conclude from our evaluation that, although both the Bureau of the Census and R&D Survey respondents consider CSAQ and electronic reporting the way of the future, the PEDRO/CASES CSAQ system used for the pilot test is not appropriate for implementation at the Census Bureau. We did receive user feedback and identification of improvements necessary for a CSAQ system to be a viable data collection tool and consequently, we recommend continued research into CSAQ authoring and communications alternatives. Our conclusion is based on an analysis of several factors. An analysis comparing the response rate of companies that received the CSAQ to companies that received the paper questionnaire found that the CSAQ companies had a significantly lower response rate. Some companies that received a CSAQ did not respond using a CSAQ because they either had problems with the CSAQ system or perceived that this type of reporting would be more difficult. This problem occurred even after the test universe was restricted to cases interested in CSAQ reporting and that according to responses to a screener questionnaire, appeared to have the hardware/software necessary to use the system we were testing. The CSAQ had edits built into the instrument and thus allowed respondents to correct their data prior to sending us the completed instrument. This is seen as an advantage for us (better data quality and less review) and as an advantage for the respondent (fewer follow-up calls concerning edit failures). We re-edited the data and found the CSAQ panel edit failure rate was significantly lower than the control panel rate. The cost of the mailout package for the CSAQ (postage, material, diskettes, and envelopes) was approximately nine times higher than the mailout cost of a paper questionnaire. In the future, there might be cost savings associated with a CSAQ instrument when compared to the mailout cost for surveys where boxes of questionnaires are mailed to companies that report for all of their establishments.
Access/Direct link Homepage - U.S. Census Bureau (full text)
Year of publication1995
Bibliographic typeReports, seminars
Web survey bibliography (4086)
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- Web-Based Survey Methodology; 2017; Wright, K. B.
- Handbook of Research Methods in Health Social Sciences; 2017; Liamputtong, P.
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- Predicting Breakoffs in Web Surveys; 2017; Mittereder, F.; West, B. T.
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- Humanizing Cues in Internet Surveys: Investigating Respondent Cognitive Processes; 2017; Jablonski, W.; Grzeszkiewicz-Radulska, K.; Krzewinska, A.
- A Comparison of Emerging Pretesting Methods for Evaluating “Modern” Surveys; 2017; Geisen, E., Murphy, J.
- The Effect of Respondent Commitment on Response Quality in Two Online Surveys; 2017; Cibelli Hibben, K.
- Pushing to web in the ISSP; 2017; Jonsdottir, G. A.; Dofradottir, A. G.; Einarsson, H. B.
- The 2016 Canadian Census: An Innovative Wave Collection Methodology to Maximize Self-Response and Internet...; 2017; Mathieu, P.
- Push2web or less is more? Experimental evidence from a mixed-mode population survey at the community...; 2017; Neumann, R.; Haeder, M.; Brust, O.; Dittrich, E.; von Hermanni, H.
- In search of best practices; 2017; Kappelhof, J. W. S.; Steijn, S.
- Redirected Inbound Call Sampling (RICS); A New Methodology ; 2017; Krotki, K.; Bobashev, G.; Levine, B.; Richards, S.
- An Empirical Process for Using Non-probability Survey for Inference; 2017; Tortora, R.; Iachan, R.
- The perils of non-probability sampling; 2017; Bethlehem, J.
- A Comparison of Two Nonprobability Samples with Probability Samples; 2017; Zack, E. S.; Kennedy, J. M.
- Rates, Delays, and Completeness of General Practitioners’ Responses to a Postal Versus Web-Based...; 2017; Sebo, P.; Maisonneuve, H.; Cerutti, B.; Pascal Fournier, J.; Haller, D. M.
- Necessary but Insufficient: Why Measurement Invariance Tests Need Online Probing as a Complementary...; 2017; Meitinger, K.
- Nonresponse in Organizational Surveying: Attitudinal Distribution Form and Conditional Response Probabilities...; 2017; Kulas, J. T.; Robinson, D. H.; Kellar, D. Z.; Smith, J. A.
- Theory and Practice in Nonprobability Surveys: Parallels between Causal Inference and Survey Inference...; 2017; Mercer, A. W.; Kreuter, F.; Keeter, S.; Stuart, E. A.
- Is There a Future for Surveys; 2017; Miller, P. V.
- Reducing speeding in web surveys by providing immediate feedback; 2017; Conrad, F.; Tourangeau, R.; Couper, M. P.; Zhang, C.
- Social Desirability and Undesirability Effects on Survey Response latencies; 2017; Andersen, H.; Mayerl, J.
- A Working Example of How to Use Artificial Intelligence To Automate and Transform Surveys Into Customer...; 2017; Neve, S.
- A Case Study on Evaluating the Relevance of Some Rules for Writing Requirements through an Online Survey...; 2017; Warnier, M.; Condamines, A.
- Estimating the Impact of Measurement Differences Introduced by Efforts to Reach a Balanced Response...; 2017; Kappelhof, J. W. S.; De Leeuw, E. D.
- Targeted letters: Effects on sample composition and item non-response; 2017; Bianchi, A.; Biffignandi, S.