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 - Usability, HCI (409)
- Tips for Evaluating Online Effectiveness; 2013; Stevenson, S. C.
- 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.
- Advancing Research Methods with New Technologies; 2013; Sappleton, N.
- 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.
- By the Numbers: Theory of adaptation or survival of the fittest?; 2013; Cavallaro, K.
- 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.
- 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.
- A standard for test reliability in group research; 2013; Ellis, J. L.
- The comparison of road safety survey answers between web-panel and face-to-face; Dutch results of SARTRE...; 2013; Goldenbeld, C., de Craen, S.
- Addressing Disclosure Concerns and Analysis Demands in a Real-Time Online Analytic System; 2013; Krenzke, T., Gentleman, J. F., Li, J., Moriarity, C.
- Examination of the equivalence of self-report survey-based paper-and-pencil and internet data collection...; 2013; Weigold, A., Weigold, I. K., Russell, E. J.
- Using Online and Paper Surveys - The Effectiveness of Mixed-Mode Methodology for Populations Over 50; 2013; De Bernardo, D. H., Curtis, A.
- Who responds to website visitor satisfaction surveys?; 2013; Andreadis, I.
- Comparison of psychometric properties of internet versions of the Marlowe-Crowne Social Desirability...; 2013; Vesteinsdottir, V., Reips, U. -D., Joinson, A. N., Porsdottir, F.
- Seducing the respondent – how to optimise invitations in on-site online research?; 2013; Póltorak, M., Kowalski, J.
- Influence of mobile devices in online surveys; 2013; Maxl, E., Baumgartner, T.
- The ONS Beyond 2011 Programme & possible implications for social surveys; 2013; Morris, L.
- Survey Research; 2013; Abbott, M. L., McKinney, J.
- The Use of E-Questionnaires in Organizational Surveys; 2013; Brender-Ilan, Y., Vinitzky, G.
- Online Survey Software; 2013; Baker, J. D.
- The effect of short formative diagnostic web quizzes with minimal feedback; 2013; Baelter, O., Enstroem, E., Klingenberg, B.
- Up Means Good: The Impact of Screen Position on Evaluative Ratings in Web Surveys.; 2013; Tourangeau, R., Conrad, F. G., Couper, M. P.
- What we can learn from unintentional mobile respondents; 2012; Peterson, G.
- The integration of facebook into class management: an exploratory study; 2012; Chou, P. N.
- The cross platform report. Q2 -2012 - US; 2012
- Mobile usability; 2012; Nielsen, J., Budiu, R.
- Smartphone Apps and User Engagement: Collecting Data in the Digital Era; 2012; Link, M. W.
- 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.
- Improving Survey Website Usability ; 2012; Vannette, D.
- How accurate are surveys of objective phenomena?; 2012; Chang, L. C., Krosnick, J. A.
- 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.
- The Feasibility of Conducting a Web Survey Using Respondent Driven Sampling among Transgenders in the...; 2012; Kappelhof, J.
- Device Diversity: Understanding the complexity of varied devices for taking surveys – Case study...; 2012; Pearson, C., Backlund, K., Veling, L., Tsvelik, M., Jehoel, S.
- Research in the Mobile Mindset: Exploring the unexplored in the mobile research space; 2012; Willems, A., Veris, E., Verhaeghe, A.
- WebSM Study: Survey software features overview ; 2012; Vehovar, V.; Cehovin, G.; Kavcic, L.; Lenar, J.
