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 (6332)
- Theory of adaptation or survival of the fittest?; 2013; Cavallaro, K.
- Online Fundraising Essentials, Second Edition; 2013; Stevenson, S. C.
- Tips for Evaluating Online Effectiveness; 2013; Stevenson, S. C.
- The Digital Divide: The internet and social inequality in international perspective; 2013; Ragnedda, M., Muschert, G.
- Ten questions to ask your online survey provider; 2013; Williams, D.
- Survey quality prediction system 2.0; 2013
- Practical tools for designing and weighting survey samples; 2013; Valliant, R. L., Daver, J. A., Kreuter, F.
- Paradata in web sureys; 2013; Callegaro, M.
- Report Of The AAPOR Task Force On Non-probability sampling; 2013; Baker, R. P., Brick, J. M., Bates, N., Battaglia, M. P., Couper, M. P., Dever, J. A., Gile, K. J., Tourangeau...
- Mobile usability; 2013; Nielsen, J., Budiu, R.
- Incentive effects; 2013; Goeritz, A.
- A nationwide web-based freight data collection; 2013; Samimi, A., Mohammadian, A., Kawamura, K.
- Mode Matters: Evaluating Response Comparability in a Mixed-Mode Survey; 2013; Bowyer, B. T., Rogowski, J. C.
- Comparing Survey Results Obtained via Mobile Devices and Computers: An Experiment With a Mobile Web...; 2013; de Bruijne, M., Wijnant, A.
- Cognitive Probes in Web Surveys: On the Effect of Different Text Box Size and Probing Exposure on Response...; 2013; Behr, D., Bandilla, W., Kaczmirek, L., Braun, M.
- The E-Interview in Qualitative Research; 2013; Bampton, R., Cowton, C., Downs, Y.
- Methodological Considerations of Qualitative Email Interviews; 2013; Nehls, K.
- Best Practice in Online Survey Research with Sensitive Topics; 2013; Kays, K., Keith, T. L., Broughal, M. T.
- Research Intentions are Nothing without Technology: Mixed-Method Web Surveys and the Coberen Wall of...; 2013; Ganassali, S., Rodriguez-Santos, C.
- Reducing Response Burden for Enterprises Combining Methods for Data Collection on the Internet; 2013; Vik, T.
- Measuring Wages Worldwide: Exploring the Potentials and Constraints of Volunteer Web Surveys; 2013; Steinmetz, S., Raess, D., Tijdens, K., de Pedraza, P.
- Using Web Surveys for Psychology Experiments: A Case Study in New Media Technology for Research; 2013; Peden, B. F., Tiry , A. M.
- The Distinctiveness of Online Research: Descriptive Assemblages, Unobtrusiveness, and Novel Kinds of...; 2013; Lanfrey, D.
- Sampling, Channels, and Contact Strategies in Internet Survey; 2013; Macrì, E., Tessitore, C.
- Advancing Research Methods with New Technologies; 2013; Sappleton, N.
- Data Quality in PC and Mobile Web Surveys; 2013; Mavletova, A. M.
- PDAs in socio-economic surveys: instrument bias, surveyor bias or both?; 2013; Escobal, J., Benites, S.
- Virtual research assistants: Replacing human interviewers by automated avatars in virtual worlds; 2013; Hasler, B. S., Tuchman, P., Friedman, D.
- Compared to a small, supervised lab experiment, a large, unsupervised web-based experiment on a previously...; 2013; Ryan, R. S., Wilde, M., Crist, S.
- From mixed-mode to multiple devices. Web surveys, smartphone surveys and apps: has the respondent gone...; 2013; Callegaro, M.
- Moving an established survey online – or not?; 2013; Barber, T., Chilvers, D., Kaul, S.
- Using mobile devices to access the realities of youth: How identification with society influences political...; 2013; Smith, M.
- On the Use of Latent Variable Models to Detect Differences in the Interpretation of Vague Quantifiers...; 2013; Griffin, J.
- Managing mobile research: How it's different and why it matters; 2013; Kachhi-Jiwani, D., Tucker, J., Wilding-Brown, L.
- An approach to selecting online respondents; 2013; Terhanian, G.
- By the Numbers: Theory of adaptation or survival of the fittest?; 2013; Cavallaro, K.
- Designing and conducting business surveys; 2013; Snijkers, G.,Araldsen, G., , Willimack, D. K.Jones, J.
- Battle of the Scales: Understanding Respondent Scale Usage in the US and Abroad; 2013; Courtright, M., Pashupati, K., Pettit, F. A.
- Modular Survey Design: A Bite Size Proposal; 2013; Kelly, F., Stevens, S., Johnson, A.
- Cyborgs vs. Monsters: Assembling Modular Surveys to Create Complete Datasets; 2013; Johnson, E. P., Siluk, L., Tarraf, S.
- Do I Have Your Full Attention?; 2013; Cape, P. J.
- Does Sample Size Still Matter?; 2013; Bakken, D. G., Bond, M.
- Optimizing Surveys for Smartphones: Maximizing Response Rates While Minimizing Bias; 2013; Lattery, K., Park Bartolone, G., Saunders, T.
- Shorter Isn't Always Better; 2013; Burdein, I.
- Solving the Unintentional Mobile Challenge; 2013; Peterson, G., Mechling, J., LaFrance, J., Ham, G.
- Mobile Research Risk: What Happens to Data Quality When Respondents Use a Mobile Device for a Survey...; 2013; Baker-Prewitt, J.
- Internet-Based Recruitment to a Depression Prevention Intervention: Lessons From the Mood Memos Study...; 2013; Morgan, A. J., Jorm, A. F., Mackinnon, A. J.
- Challenges for Researchers Investigating Contraceptive Use and Pregnancy Intentions of Young Women Living...; 2013; Herbert, D. L., Loxton, D., Bateson, D., Weisberg, E., Lucke, J. C.
- Computer science security research and human subjects: Emerging considerations for research ethics boards...; 2013; Buchanan, E. A., Aycock, J., Dexter, S., Dittrich, D., Hvizdak, E. E.
- A standard for test reliability in group research; 2013; Ellis, J. L.
