Mixing Modes: Current state of the Art ESRC Research Methods Festival 8 July 2014, St Catherine’s College, Oxford © Ipsos MORI Version 1 | Public (DELETE CLASSIFICATION) Version 1 | Internal Use Only Version 1 | Confidential Version 1 | Strictly Confidential Main drivers for mixing modes: • Improve coverage of study population • Reduce measurement error • Increase response rate • Reduce costs © Ipsos MORI Version 1 | Public (DELETE CLASSIFICATION) Version 1 | Internal Use Only Version 1 | Confidential Version 1 | Strictly Confidential Mixed-mode surveys try to combine the best of all possible worlds by exploiting the advantages of different modes to compensate for their weaknesses. Edith de Leeuw (2005) © Ipsos MORI Version 1 | Public (DELETE CLASSIFICATION) Version 1 | Internal Use Only Version 1 | Confidential Version 1 | Strictly Confidential Presentations on mixing modes Challenges of coverage, sampling & participation Professor Peter Lynn (University of Essex) Understanding the causes of measurement differences Ms Gerry Nicolaas (Research Methods Centre at Ipsos MORI) The questionnaire design pitfalls of multiple modes Dr Pamela Campanelli (The Survey Coach) © Ipsos MORI Version 1 | Public (DELETE CLASSIFICATION) Version 1 | Internal Use Only Version 1 | Confidential Version 1 | Strictly Confidential
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