#Step @by #Step: recommendations for the development of high quality online research

Otávio Bandeira De Lamônica Freire, Diego dos Santos Vega Senise, Walney Barbosa dos Reis, Heder Seiti Ono

Resumo


O presente estudo tem como objetivo discutir e apresentar as principais premissas para garantir a qualidade de pesquisas online. O método utilizado foi a revisão do estado da arte da literatura internacional acerca do tema. As principais conclusões apontam para um conjunto de prós e contras em relação às coletas off-line, demonstrando não haver superioridade de nenhuma das duas técnicas. Os principais aprendizados e melhores práticas são apresentados nas seguintes categorias: concepção da pesquisa, representatividade das amostras, design de questionários e qualidade dos dados.


Palavras-chave


pesquisa online; amostragem online; qualidade de dados; design de questionários.

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Referências


Advertising Research Foundation. Online Survey Research: Findings, best practices, and future research. Research Quality Forum, 2013.

Ansolabehere, S., & Schaffner, B. F. (2015). Distractions: The Incidence and Consequences of Interruptions for Survey Respondents. Journal of Survey Statistics and Methodology, 3(2), 216-239.

Aureliano-Silva, L., Lopes, E. L., Bandeira De Lamônica Freire, O., & da Silva, D. (2015). The brand’s effect on the evaluation of advertising endorsed by celebrities: an experimental study. BBR-Brazilian Business Review, 12(4).

Baker, R., Brick, J. M., Bates, N. A., Battaglia, M., Couper, M. P., Dever, J. A., ... & Tourangeau, R. (2013). Summary report of the AAPOR task force on non-probability sampling. Journal of Survey Statistics and Methodology, 1(2), 90-143.

Bethlehem, J., & Biffignandi, S. (2011). Handbook of web surveys (Vol. 567). John Wiley & Sons.

Bethlehem, J., Cobben, F., & Schouten, B. (2011). Handbook of nonresponse in household surveys (Vol. 568). John Wiley & Sons.

Blom, A. G., Bosnjak, M., Cornilleau, A., Cousteaux, A. S., Das, M., Douhou, S., & Krieger, U. (2016). A comparison of four probability-based online and mixed-mode panels in Europe. Social Science Computer Review, 34(1), 8-25.

Bussab, W. D. O., & Morettin, P. A. (2010). Estatística básica. Saraiva.

Butier, Patrick (1994). Marketing Problem: From Analysis to Decision. Marketing Intelligence & Planning, v.12 (2), p.4-12.

Callegaro, M., Baker, R. P., Bethlehem, J., Göritz, A. S., Krosnick, J. A., & Lavrakas, P. J. (Eds.). (2014). Online panel research: A data quality perspective. John Wiley & Sons.

Clarke, H. D., Sanders, D., Stewart, M. C., & Whiteley, P. (2008). Internet surveys and national election studies: A symposium. Journal of Elections, Public Opinion and Parties, 18(4), 327-330.

Comley, P. Online Market Research. Market Research Handbook. 5. ed. Chichester: John Wiley & Sons, 2007.

Couper, M. P. (2007). Issues of representation in eHealth research (with a focus on web surveys). American journal of preventive medicine, 32(5), S83-S89.

Toepoel, V., Das, M., & Van Soest, A. (2008). Effects of design in web surveys: Comparing trained and fresh respondents. Public Opinion Quarterly, 72(5), 985-1007.

Downes-Le Guin, T., Mechling, J., & Baker, R. (2006). Great results from ambiguous sources: Cleaning Internet panel data. In ESOMAR World Research Conference: Panel Research.

Eckman, S. (2016). Does the Inclusion of Non-Internet Households in a Web Panel Reduce Coverage Bias? Social Science Computer Review, 34(1), 41-58.

Eggers, M.; Drake, E. Blend, balance and stabilize respondent sources. 75th Annual conference of the Advertising Research Foundation, v.1, 2013.

Galesic, M., & Bosnjak, M. (2009). Effects of questionnaire length on participation and indicators of response quality in a web survey. Public opinion quarterly, 73(2), 349-360.

Green, P. E., & Srinivasan, V. (1978). Conjoint analysis in consumer research: issues and outlook. Journal of consumer research, 5(2), 103-123.

Göritz, A. S. (2007). Using online panels in psychological research. The Oxford handbook of Internet psychology, 473-485.

Greszki, R., Meyer, M., & Schoen, H. (2015). Exploring the effects of removing “too fast” responses and respondents from web surveys. Public Opinion Quarterly, 79(2), 471-503.

Hansen, J. (2008). Panel surveys. The Sage handbook of public opinion research, 330-339.

International Organization for Standartization. ISO 20252: Market, opinion and social research: vocabulary and service requirements. Geneva: ISO, 2012.

International Organization for Standartization. ISO 26362: Market, opinion and social research: vocabulary and service requirements. Geneva: ISO, 2009.

Kellner, P. (2004). Can online polls produce accurate findings?. International Journal of Market Research, 46(1), 3-22.

Krosnick, J. A. (1991). Response strategies for coping with the cognitive demands of attitude measures in surveys. Applied cognitive psychology, 5(3), 213-236.

Lavrakas, P; Dennis, M; Disogra, C; Subias, T; Lawarence, M; Tompson, T. Panel conditioning and attrition in the AP-Yahoo News election panel study. Proceedings of the Joint Statistical Meeting, p. 5742-5756, Washington, 2010.

Levin, J. Fox, J, Forde, A. David, R. Estatística para Ciências Humanas. (2012).

Lugtig, P., & Toepoel, V. (2016). The use of PCs, smartphones, and tablets in a probability-based panel survey: Effects on survey measurement error. Social Science Computer Review, 34(1), 78-94.

Malhotra, N. (2008). Completion time and response order effects in web surveys. Public Opinion Quarterly, 72(5), 914-934.

Naresh, K. (2001). Pesquisa de marketing: uma orientação aplicada. Porto Alegre: Bookman.

Mavletova, A. (2013). Data quality in PC and mobile web surveys. Social Science Computer Review, 31(6), 725-743.

Mavletova, A., & Couper, M. P. (2014). Mobile web survey design: scrolling versus paging, SMS versus e-mail invitations. Journal of Survey Statistics and Methodology, 2(4), 498-518.

Oppenheimer, D. M., Meyvis, T., & Davidenko, N. (2009). Instructional manipulation checks: Detecting satisficing to increase statistical power. Journal of Experimental Social Psychology, 45(4), 867-872.

Pensador. Frase de Alejandro Jodorowsky. Disponível em . Acesso em 28 jul. 2016.

Quevedo Silva, F., de Oliveira Lima Filho, D., & Freire, O. (2015). A influência da consciência ambiental e das atitudes em relação ao consumo sustentável na intenção de compra de carne bovina. Revista de Administração da Universidade Federal de Santa Maria, 8(3).

Peytchev, A., Couper, M. P., McCabe, S. E., & Crawford, S. D. (2006). Web survey design: Paging versus scrolling. International Journal of Public Opinion Quarterly, 70(4), 596-607.

Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879.

Rao, V. R., & Pilli, L. E. (2014). Conjoint Analysis for Marketing Research in Brazil. REMark: Revista Brasileira de Marketing, 13(4).

Särndal, C. E., & Lundström, S. (2005). Estimation in surveys with nonresponse. John Wiley & Sons.

Scherpenzeel, A., & Toepoel, V. (2012). Recruiting a probability sample for an online panel: Effects of contact mode, incentives, and information. Public opinion quarterly, 76(3), 470-490.

Sendelbah, A., Vehovar, V., Slavec, A., & Petrovčič, A. (2016). Investigating respondent multitasking in web surveys using paradata. Computers in Human Behavior, 55, 777-787.

Sheth, J. N., & Sisodia, R. S. (2002). Marketing productivity: issues and analysis. Journal of Business research, 55(5), 349-362.

Sikkel, D., Steenbergen, R., & Gras, S. (2014). Clicking vs. dragging: Different uses of the mouse and their implications for online surveys. Public opinion quarterly, 78(1), 177-190.

Tortora, R. Recruitment and Retention for a consumer Panel. Hobroken, NJ: John Wiley & Sons, 2008.

Valliant, R., & Dever, J. A. (2011). Estimating propensity adjustments for volunteer web surveys. Sociological Methods & Research, 40(1), 105-137.

Walker, R., Pettit, R., & Rubinson, J. (2009). The Foundations of Online Research Quality–Executive Summary 3: Inter Study Comparability and Benchmark Analysis. New York: Advertising Research Foundation.

Yeager, D. S., Krosnick, J. A., Chang, L., Javitz, H. S., Levendusky, M. S., Simpser, A., & Wang, R. (2011). Comparing the accuracy of RDD telephone surveys and internet surveys conducted with probability and non-probability samples. Public opinion quarterly, 75(4), 709-747.

Zaller, J., & Feldman, S. (1992). A simple theory of the survey response: Answering questions versus revealing preferences. American journal of political science, 579-616.




DOI: https://doi.org/10.20397/2177-6652/2017.v17i3.1206

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