Advantages and Disadvantages of using the website SurveyMonkey in a real study: Psychopathological profile in people with normal-weight, overweight and obesity in a community sample
Keywords:
data collection, health information, internet, web-based surveys, SurveyMonkeyAbstract
The purpose of this study is to examine whether web-based surveys may be an attractive alternative to traditional survey methods (postal surveys, paper and pencil questionnaires and telephone interviews) and analyzing their advantages and disadvantages through a real study.
An investigation to assess differences in personality dimensions, coping strategies and eating behaviour in a community sample (n=152) of normal-weight (n=101), overweight (n=30) and obese people (n=21). This research is presented here as an example using an online survey, which has been designed with the website SurveyMonkey.
Survey Monkey has provided some positive aspects, such as: easier access, avoidance of input and data coding errors, a faster distribution and saving time and cost. However, some negative characteristics have been detected, for instance: response rates and the length of the questionnaire.Downloads
References
. Aerny-Perreten, N., Domínguez-Berjón, M. F., Esteban-Vasallo, M. D., & García-Riolobos, C. (2015). Participation and factors associated with late or non-response to an online survey in primary care. Journal of Evaluation in Clinical Practice, 21, 688–693. doi: 10.1111/jep.12367.
. Braithwaite, D., Emery, J., de Lusignan, S., & Sutton, S. (2003). Using the internet to conduct surveys of health professionals: A valid alternative? Family Practice, 20(5), 545–551. doi: 10.1093/fampra/cmg509.
. Bramstedt, K. A., Ierna, B., & Woodcroft-Brown, V. (2015). Using SurveyMonkey® to teach safe social media strategies to medical students in their clinical years. Communication & Medicine, 11(2), 117–124. doi: 10.1558/cam.v11i2.27556.
. Cano, F., Rodríguez, L., & García, J. (2007). Adaptación Española del Inventario de Estrategias de Afrontamiento [Spanish adaptation of the Coping Strategies Inventory]. Actas Españolas de Psiquiatría, 35(1), 29–39.
. Cebolla, A., Barrada, J. R., van Strien, T., Oliver, E., & Baños, R. (2014). Validation of the Dutch Eating Behavior Questionnaire (DEBQ) in a sample of Spanish women. Appetite, 73, 58–64. doi: 10.1016/j.appet.2013.10.014.
. Ekman, A., Klint, A., Dickman, P. W., Adami, H. O., & Litton, J. E. (2007). Optimizing the design of web-based questionnaires - Experience from a population-based study among 50,000 women. European Journal of Epidemiology, 22(5), 293–300. doi: 10.1007/s10654-006-9091-0.
. Ekman, A., & Litton, J. E. (2007). New times, new needs: E-epidemiology. European Journal of Epidemiology, 22(5), 285–292. doi: 10.1007/s10654-007-9119-0.
. Gutierrez-Zotes, J. A., et al. (2004). Inventario del Temperamento y el Carácter-Revisado (TCI-R). Baremación y datos normativos en una muestra de población general [Inventory of Temperament and Character-Revised (TCI-R). Scales and normative data in a general population sample]. Actas Españolas de Psiquiatría, 32(1), 8–15.
. Internet World Stats (2015). Internet Users in the World by Regions. Retrieved from http://www.internetworldstats.com/stats.html.
. Johnson, T., & Wislar, J. S. (2012). Response Rates and Nonresponse Errors in Surveys. JAMA: The Journal of the American Medical Association, 307(17), 1805–1806. doi: 10.1001/jama.2012.3532.
. Kwak, N., & Radler, B. (2002). A Comparison Between Mail and Web Surveys: Response Pattern, Respondent Profile, and Data Quality. Journal of Official Statistics, 18(2), 257–273.
. Lora-Cortez, C., & Saucedo-Molina, T. (2006). Conductas Alimentarias de riesgo e imagen corporal de acuerdo al índice de masa corporal en una muestra de mujeres adultas de la Ciudad de México [Dietary risk behaviors and body image according to body mass index in a sample of adult women in Mexico City]. Salud Mental, 29(3), 60–67.
. Manfreda, K., Batagelj, Z., & Vehovar, V. (2002). Design of websurvey questionnaires: Three Basic Experiments. Journal of Computer-Mediated Communication, 7(3). doi: 10.1111/j.1083-6101.2002.tb00149.x.
. McPeake, J., Bateson, J., & O’Neill, A. (2014). Electronic surveys: how to maximise success. Nurse Researcher, 21(3), 24–26. doi: 10.7748/nr2014.01.21.3.24.e1205.
. Ministerio de Educación Cultura y Deporte. (2015). Encuesta de Hábitos y Práctias Culturales en España [Survey of Cultural Habits and Practices in Spain]. Retrieved from http://www.mecd.gob.es/servicios-al-ciudadano-mecd/dms/mecd/servicios-al-ciudadano-mecd/estadisticas/cultura/mc/ehc/2014-2015/Encuesta_de_Habitos_y_Practicas_Culturales_2014-2015.pdf.
. Pit, S. W., Vo, T., & Pyakurel, S. (2014). The effectiveness of recruitment strategies on general practitioner’s survey response rates - a systematic review. BMC Medical Research Methodology, 14, 76. doi: 10.1186/1471-2288-14-76.
. Rivera, L. M., & Paredez, S. M. (2014). Stereotypes Can “Get Under the Skin”: Testing a Self-Stereotyping and Psychological Resource Model of Overweight and Obesity. The Journal of Social Issues, 70(2), 226–240. doi: 10.1111/josi.12057.
. Schleyer, T. K., & Forrest, J. L. (2000). Methods for the design and administration of web-based surveys. Journal of the American Medical Informatics Association: JAMIA, 7(4), 416–25. doi: 10.1136/jamia.2000.0070416.
. Symonds, E. (2011). A practical application of SurveyMonkey as a remote usability-testing tool. Library Hi Tech, 29(3), 436–445. doi: 10.1108/07378831111174404.
. Van Gelder, M., Bretveld, R. W., & Roeleveld, N. (2010). Web-based questionnaires: The future in epidemiology? American Journal of Epidemiology, 172(11), 1292–1298. doi: 10.1093/aje/kwq291.
. Wagner, S. M., & Kemmerling, R. (2010). Handling Nonresponse in Logistics Research. Journal of Business Logistics, 31(2), 357–381. doi: 10.1002/j.2158-1592.2010.tb00156.x.