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  • A Researcher’s Guide to Tracking Studies

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    A Researcher’s Guide to Tracking Studies

    Tracking Studies help you to continuously monitor a research topic by repeatedly fielding the same questionnaire and comparing how your data points…

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  • Four Common Mistakes when Designing Questionnaires for Data Quality

    Four Common Mistakes when Designing Questionnaires for Data Quality

    Bad questionnaire design can easily be avoided. We have identified some of the most common mistakes.

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  • How can algorithms help us to improve data quality?

    How can algorithms help us to improve data quality?

    In this article, we’d like to explore application fields for algorithms to help us improve our data quality.

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  • Facial Coding – Is your TV commercial really engaging your audience?

    Facial Coding – Is your TV commercial really engaging your audience?

    Consumers are very much guided by their emotions. But getting an understanding of consumers’ emotional engagement with a TV commercial has not been…

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  • How Representative is Online Research?

    How Representative is Online Research?

    Today, we want to check whether online panels are representative and discuss four major biases that can distort the results of an online study.

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  • The Art of Designing Online Questionnaires

    The Art of Designing Online Questionnaires

    Online data collection is undeniably at the heart of our business. This is why it is absolutely vital for us to meet or even excel the respondents’…

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  • Is your questionnaire mobile friendly?

    Is your questionnaire mobile friendly?

    Follow the flowchart to find out if your questionnaire is mobile friendly.

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  • Five Basic Principles for Writing Good Questionnaires

    Five Basic Principles for Writing Good Questionnaires

    At Norstat, we have seen all the common mistakes in questionnaire design, regardless whether they were telephone, face-to-face or online interviews.

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