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VP & GM of ROM at RIWI | Research Technology Expert

Embarking on the research journey resembles a magician walking a tightrope, maintaining the highest quality throughout. The battle to balance competing factors emphasizes data quality, the foundation of reliable research. Quality is subjective and tied to study goals, where setting acceptable thresholds is key for reliability and validity. To mitigate errors and biases, the focus needs to be on several key areas, such as: - Sampling Errors: Ensure a representative sample through size, method, and diversity for generalizable results. - Questionnaire Design: Craft clear, unbiased questions to avoid misinterpretation and skewed results. - Data Gathering Methods: Use consistent, unbiased collection methods to minimize errors. Striving for higher data quality involves setting rigorous standards and addressing these areas independently. Refinement and vigilance are essential for the integrity of our findings. One common pitfall is blaming it all on respondents, which oversimplifies the issue and misleads. #DataQuality #Research #Surveys #ResTech RIWI

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