New forms of data collection: mobile/web 3 |
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| Convenor | Dr Emanuela Sala (Dipartimento di Sociologia e Ricerca Sociale, Università di MIlano Bicocca ) |
| Coordinator 1 | Dr Mario Callegaro (Google) |
| Coordinator 2 | Dr Teresio Poggio (Faculty of Economics and Management Free University of Bozen-Bolzano) |
In a large scale study, we examined the demographic and attitudinal differences between mobile respondents and desktop/laptop respondents. We detail a number of the differences. Even after controlling for these differences, we found a number of substantive difference in substantive responses. We summarize some of the findings and how they could be affected by device, similar to survey mode differences.
Internet and mobile telephony provide new opportunities for interventions and for research. Happiness is one of the topics for which these opportunities are used. The Happiness Analyser is a cell-phone application that aims at awareness of how happy one feels during everyday activities. The “Happiness Analyser” is the first application using both the Day Reconstruction Method and the Experience Sampling Method. The application is evaluated in many different controlled experiments (N > 1000). On the basis of these evaluations many implications for the general design and use of mobile devices for web-based surveys could be.
Non-response error is one of the major challenges in Internet surveys; incentives and reminders can be adopted to contrast it. We report findings from an experiment carried out on a population of graduate students aimed at increasing unit non response using different types of reminders. Main findings are: (i) those respondents who got a reminder are more likely to respond and (ii) there are no statistically significant differences in response rates according to the type of reminders used.