Identifying fraudulent research participants in online surveys

Date of publication: December 28, 2017

Catalogue: Webinars 2017

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Abstract:

With every quantitative market research study, data quality is critical. Researchers can now be confident that their quality checks are effective, with the validation of different steps that allow the identification and elimination of dishonest/inattentive participants in online surveys. In this workshop, Research Now and FactWorks will present the results of their maximum difference scaling approach in a multi-country comparison, giving practical recommendations on how you can use quality checks to eliminate participants and answers that may distort the integrity of your results.

Leila Arroum

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Adrian Becker

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