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Wednesday 15th July, 11:00 - 12:30 Room: HT-105

New forms of data collection: mobile/web 3

Convenor Dr Emanuela Sala (Dipartimento di Sociologia e Ricerca Sociale, Università di MIlano Bicocca )
Coordinator 1Dr Mario Callegaro (Google)
Coordinator 2Dr Teresio Poggio (Faculty of Economics and Management Free University of Bozen-Bolzano)

Session Details

Advances in mobile and Internet technology offer researchers new tools, opportunities and challenges to design and carry out social surveys. The aim of this session is to foster discussion on the use of new forms of data collection in social research and its impact on data quality.

Paper Details

1. On the Go: How Mobile Participants Affect Survey Results
Dr Frances Barlas (GfK Custom Research)
Mr Randall Thomas (GfK Custom Research)

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.

2. The Happiness Analyser
Mr Kai Ludwigs (Happiness Research Organisation)

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.

3. The use of text messages in a web-survey. The case of a survey of Italian graduates
Dr Emanuela Sala (Dipartimento di Sociologia e Ricerca Sociale, Università di Milano Bicocca)
Miss Chiara Respi (Dipartimento di Sociologia e Ricerca Sociale, Università di Milano Bicocca)
Dr Alessandra Decataldo (Dipartimento di Sociologia e Ricerca Sociale, Università di Milano Bicocca)

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.