32 resultados para web based intervention
Resumo:
BACKGROUND Little is known about medical educators' self-definition. AIMS The aim of this study is to survey an international community of medical educators focusing on the medical educators' self-definition. METHODS Within a comprehensive, web-based survey, an open question on the participants' views of how they would define a "medical educator" was sent to 2200 persons on the mailing list of the Association for Medical Education in Europe. The free text definitions were analysed using qualitative thematic analysis. RESULTS Of the, 200 medical educators invited to participate, 685 (31.1%) provided a definition of a "medical educator". The qualitative analysis of the free text definitions revealed that medical educators defined themselves in 13 roles, primarily as "Professional Expert", "Facilitator", "Information Provider", "Enthusiast", "Faculty Developer", "Mentor", "Undergraduate and Postgraduate Trainer", "Curriculum Developer", "Assessor and Assessment Creator", and "Researcher". CONCLUSIONS Our survey revealed that medical educators predominantly define themselves as "Professional Experts" and identified 12 further self-defined roles of a medical educator, several of which not to have been reported previously. The results can be used to further the understanding of our professional identity.
Resumo:
Web surveys are becoming increasingly popular in survey research including stated preference surveys. Compared with face-to-face, telephone and mail surveys, web surveys may contain a different and new source of measurement error and bias: the type of device that respondents use to answer the survey questions. This is the first study that tests whether the use of mobile devices, tablets or smartphones, affects survey characteristics and stated preferences in a web-based choice experiment. The web survey on expanding renewable energy production in Germany was carried out with 3182 respondents, of which 12% used a mobile device. Propensity score matching is used to account for selection bias in the use of mobile devices for survey completion. We find that mobile device users spent more time than desktop/laptop users to answer the survey. Yet, desktop/laptop users and mobile device users do not differ in acquiescence tendency as an indicator of extreme response patterns. For mobile device users only, we find a negative correlation between screen size and interview length and a positive correlation between screen size and acquiescence tendency. In the choice experiment data, we do not find significant differences in the tendency to choose the status quo option and scale between both subsamples. However, some of the estimates of implicit prices differ, albeit not in a unidirectional fashion. Model results for mobile device users indicate a U-shaped relationship between error variance and screen size. Together, the results suggest that using mobile devices is not detrimental to survey quality.