Web Survey Bibliography
The computer's evolution has allowed the paper questionnaires used in personal interviews were replaced by electronic questionnaires, a method known as CAPI (Computer Assisted Personal Interviewing).The popularization of mobile devices benefited household surveys because it allowed the interviewer to carry the equipment to the households in order to approach the informant and collect the data.
Some of the benefits of electronic questionnaires are paper reduction and the possibility to automate complex interviews. On the other hand, the introduction of computerized data collection can cause problems as a consequence of poorly designed screens, which delay the collection of data or compromise the results. The use of mobile devices for collecting is another consideration, because of their physical limitations (small screens and keyboards) and because of the environment of use, since the mobile environment tends to distract more the users as a consequence of other activities that occur simultaneously.
This dissertation focused on making recommendations to facilitate the use of mobile devices, particularly PDAs (personal digital assistants), used in data collection. Observations were made in the fieldwork and testing of usability was conducted in a portable laboratory. Also photos and videos were registered and testimonies were collected from users.
From the analysis of results, two sets of recommendations were created: one for the individual who designs the content of questionnaires and another one for the developer of the system of data collection. Some screens were displayed to illustrate the recommendations.
The recommendations are intended to help the interviewers' work, data entry speed, help in reading the questions for better understanding of the informants, maximize the quality of data collected and reduce training costs.
Keywords: CAPI, personal interview, PDA, usability, household survey, interface, HCI, Census, ContinuousPNAD, electronic data collection.
A evolução dos computadores permitiu que os questionários em papel utilizados em entrevistas pessoais fossem substituídos por questionários eletrônicos, método conhecido como CAPI (Computer Assisted Personal Interviewing). A popularização dos dispositivos móveis beneficiou as pesquisas domiciliares, pois ofereceu ao entrevistador a oportunidade de se deslocar portando o equipamento até os domicílios para se aproximar do informante e coletar os dados.
Alguns dos benefícios dos questionários eletrônicos são a redução do papel e a possibilidade de automatizar entrevistas complexas. Por outro lado, a introdução da coleta de dados informatizada pode ocasionar inconvenientes causados por telas mal concebidas, que atrapalham e atrasam a captação dos dados pelo entrevistador ou comprometem os resultados da pesquisa. O uso de dispositivos móveis para a coleta é outra consideração, por causa de suas limitações físicas (telas e teclados reduzidos) e por causa do ambiente de uso, pois o ambiente móvel tende a distrair mais as pessoas em função de outras atividades que ocorrem ao mesmo tempo no local.
A presente dissertação teve como foco propor recomendações para facilitar o uso de dispositivos móveis, em especial PDAs (Personal digital assistants), utilizados em coletas de dados estatísticos. Para atingir esse fim, foram realizadas observações em
acompanhamentos de campo, testes de usabilidade em laboratório portátil, registros com fotos e vídeos e foram coletados depoimentos dos usuários. A partir da análise dos resultados, foram criados dois grupos de recomendações: um para o indivíduo que projeta o conteúdo dos questionários e outro para o projetista da interface do sistema de coleta de dados. Algumas telas foram desenhadas para exemplificar as recomendações.
Com as recomendações, pretende-se tornar o trabalho dos entrevistadores mais eficiente, agilizar a entrada dos dados, ajudar na leitura das perguntas para melhor entendimento dos informantes, maximizar a qualidade e a integridade dos dados coletados e reduzir custos com treinamentos.
Palavras-chave: CAPI, entrevista pessoal, PDA, usabilidade, pesquisa domiciliar, interface, IHC, Censo Demográfico, PNAD Contínua, questionário eletrônico.
Web Survey Bibliography (6359)
- How Often Do You Use the App with a Bird on It? Exploring Differences in Survey Completion Times, Primacy...; 2012; Buskirk, T. D.
- Data quality of questions sensitive to social-desirability bias in web surveys; 2012; Lozar Manfreda, K., Zajc, N., Berzelak, N., Vehovar, V.
- Online Questionnaires: Development of ‘basic requirements’; 2012; Tries, S., Blanke, K.
- Social research in online context: methodological reflections on web surveys from a case study; 2012; Pandolfini, V.
- Efficacy of a health-related Facebook social network site on health-seeking behaviors; 2012; Woolley, P., Peterson, M.
- Methods for eliminating skip statements from questionnaire logic; 2012; Canvanough Spencer, S.
- The war against unengaged online respondents; 2012; Gittelman, S. H., Trimarchi, E.
- Qualitatively Speaking: The five absolute, no-excuse must-dos for online qualitative researchers; 2012; Rossow, A.
- By the Numbers: Lessons for using online panels in B2B research; 2012; Elsner, N.
- Improving Survey Website Usability ; 2012; Vannette, D.
- Specialized Tools for Measuring Past Events ; 2012; Belli, R. F.
- Transparency, Access and the Credibility of Survey Research; 2012; Lupia, A.
- Experience Sampling and Ecological Momentary Assessment; 2012; Stone, A.
- Can Microtargeting Improve Survey Sampling? An Assessment of Accuracy and Bias in Consumer File Marketing...; 2012; Pasek, J.
- Anonymity and Confidentiality; 2012; Tourangeau, R.
- Cognitive Evaluation of Survey Instruments: State of the Science (Art?) and Future Directions; 2012; Willis, G. B.
- Oh, Just One More Thing … Leveraging “Leave-Behinds” in Data Collection; 2012; Link, M. W.
- Can Official Records Correct Errors in Turnout Self-reports?; 2012; Berent, M., Krosnick, J. A., Lupia, A.
- Paradata; 2012; Kreuter, F.
- Computation of Survey Weights: Bridging Theory and Practice; 2012; Debell, M.
- Optimizing Response Rates; 2012; Brick, J. M.
- Modes of Data Collection; 2012; Tourangeau, R.
- The Use and Effects of Incentives in Surveys; 2012; Singer, E.
- Probability vs. Non-probability Methods; 2012; Langer, G,
- Improving Question Design to Maximize Reliability and Validity; 2012; Krosnick, J. A.
- Respondent Attrition vs Data Attrition and Their Reduction; 2012; Olsen, R. J.
- Survey Interviewing: Deviations from the Script; 2012; Schaeffer, N. C.
- Sampling for Single and Multi-Mode Surveys using Address-Based Sampling; 2012; O'Muircheartaigh, C.
- What Human Language Technology can do for you (and vice versa); 2012; Liberman, M.
- Proxy Reporting; 2012; Cobb, C. L.
- The Impact of Survery Nonresponse on Survey Accuracy; 2012; Keeter, S.
- How accurate are surveys of objective phenomena?; 2012; Chang, L. C., Krosnick, J. A.
- An Empirical Investigation of the Role of the Email Contact in Web Survey Response Rates; 2012; Hsu, H.-Y., Lai, Y.-H., Chin, H.-Y.
- Measure the response burden in the Swedish Intrastat system; 2012; Weideskog, F.
- Mode and non-response effects and their treatment; 2012; Chrysanthopoulos, S., Georgostathi, A.
- What can be said about quality in the Central Population Register based on a self-completion survey...; 2012; Falnes-Dalheim, E., Pedersen, H. E.
- Improving the quality of complex surveys: The case of the EU Labour Force Survey ; 2012; van der Valk, J.
- Pros and cons of Internet based User Satisfaction Surveys; 2012; Consoli, A., Matsulevits, L.
- The re-engineering of the Structural Earnings survey process: Mixed - Mode data collection and new E...; 2012; Cardinaleschi, S., De Santis, S., Rocci, F., Spinelli, V.
- Between demand and reality: Ensuring efficiency and quality in pretesting questionnaires; 2012; Sattelberger, S., Blanke, K.
- How to provide high data quality in online-questionnaires: Setting guidelines in design; 2012; Tries, S., Nebel, S., Blanke, K.
- Boosting Web pick-up Rates by referring to Compliance Principles ; 2012; Falnes-Dalheim, E., Haraldsen, G., Sundvoll, A.
- Choosing a Data Collection Approach: Mixed Mode Design Experiences in Statistics Finland; 2012; Taskinen, P., Kiianmaa, N.
- Ebook readings jumps, print book reading declines; 2012; Rainie, L., Duggan, M.
- Does mentioning "Some People" and "Other People" in an opinion question improve...; 2012; Yeager, D. S., Krosnick, J. A.
- Digital Divides: A connectivity continuum for the United States. Data from the 2011 Current Population...; 2012; File, T.
- Developments and the impact of smart technology; 2012; Macer, T.
- How Should Debriefing Be Undertaken in Web-Based Studies? Findings From a Randomized Controlled Trial...; 2012; McCambridge, J., Kypri, K., Wilson, A.
- Better customer in sight in real time; 2012; Macdonald, E., Wilson, H. N., Konus, H.
- Best practices in data cleaning: A complete guide to everything you need to do before and after collecting...; 2012; Osborne, J. W.

