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 (6369)
- Using multivariate statistics, 6th Edition; 2012; Tabachnick, B. G., Fidell, L. S.
- Unintentional mobile respondents; 2012; Peterson, G.
- Tracking preference expression (DNT); 2012
- The smartphone psychology manifesto; 2012; Miller, G.
- The rise of the "connected viewer"; 2012; Smith, A., Boyles, J. L.
- The practice of social research; 2012; Babbie, E. R.
- The integration of facebook into class management: an exploratory study; 2012; Chou, P. N.
- The effects of item saliency and question design on measurement error in a self-administered survey; 2012; Stern, M. J., Smyth, J. D., Mendez, J.
- The cross platform report. Q2 -2012 - US; 2012
- Speed (necessarily) doesn’t kill: A new way to detect survey satisficing; 2012; Garland, P. et al.
- Smartphone ownership update: September 2012; 2012; Rainie, L.
- Sensitive topics in PC Web and mobile web surveys: Is there a difference?; 2012; Mavletova, A. M., Couper, M. P.
- Selection bias of internet panel surveys: A comparison with a paper-based survey and national governmental...; 2012; Tsuboi, S. et al.
- Screenwise panel: Frequently Asked Questions; 2012
- Research company spotlight - Mobile surveys; 2012
- Redeveloping the research section of Meningitis UK's website — A case study report; 2012; Witt, J. et al.
- Quality in market research. From theory to practice. 2nd Edition; 2012; Harding, D., Jackson, P.
- Participation of mobile users in traditional online studies; 2012; Jue, A.
- Online survey statistics for the mobile future. Updated with Q3 2012 data; 2012
- Ofcom technology tracker Wave 3; 2012
- Ofcom technology tracker Wave 2; 2012
- Not just playing around; 2012; Ewing, T.
- Norme di qualita' Assirm (Assirm quality rules]; 2012
- NBCU enlists Google, ComScore to track multiscreen Olympics viewing; 2012; Spangler, T.
- MRS Guidelines for online reseach; 2012
- More dirty little secrets of online panel research.; 2012
- Mobile usability; 2012; Nielsen, J., Budiu, R.
- Mobile email opens report 2nd half 2011; 2012
- Metering mobile usage. Insights from global Arbitron mobile trends panel; 2012; Verkasalo, H.
- Media tracker; 2012
- Measuring the quality of governmental websites in a controlled versus an online setting with the ‘...; 2012; Elling, S. et al.
- Measuring modern media consumption; 2012; Arini, N.
- ISO 20252. Market, opinion and social research-Vocabulary and service requirements, 2nd Edition; 2012
- Is „chapterisation“ a viable alternative to traditional progress indicators ?; 2012; Spicer, R., Dowling, Z.
- Internet use in households and by individual in 2012. Eurostat Statistics in Focus 50/2012; 2012; Seybert, H.
- Internet access - Households and individuals, 2012 part 2; 2012
- Internet access - Households and individuals, 2012; 2012
- Guide to social science data preparation. Best practice throughout the data life cycle; 2012
- Google et Médiamétrie créent une audience bimédia; 2012; Gonzales, P.
- GMI Pinnacle; 2012
- Global market research 2012; 2012
- Flowing with the mainstream. Is mobile market research finally living up to the hype?; 2012; Townsend, L.
- Explaining rising nonresponse rates in cross-sectional surveys; 2012; Brick, J. M., Williams, D.
- Eurobarometer Special surveys: Special Eurobarometer 381; 2012
- Online Surveys 2.0; 2012; Elferink, R.
- The Impact of Academic Sponsorship on Online Survey Dropout Rates; 2012; Allen, P. J., Roberts, L. D.
- Especially for You: Motivating Respondents in an Internet Panel by Offering Tailored Questions; 2012; Oudejans, M.
- Social media as a data collection tool: the impact of Facebook in behavioural research; 2012; Zoppos, E.
- Smartphone Apps and User Engagement: Collecting Data in the Digital Era; 2012; Link, M. W.
- Snowball Sampling in Online Social Networks; 2012; Raissi, M., Ackland, R.

