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Industry standards
We follow all relevant guidelines, codes of conduct, and industry best practices to ensure that our research is ethical, transparent, and reliable.
Danebury Research complies with ESOMAR, MRS, ARF, MRIA, AMA, AMSRO and Insights Association standards, and we adhere to their codes of conduct and guidelines for ethical research practices.
In addition, we are committed to maintaining the confidentiality and privacy of our respondents, and we adhere to all relevant laws and regulations related to data protection and privacy.
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Monitoring
At Danebury Research, we are committed to conducting market research that is ethical, transparent, and reliable. One of the ways we do this is by monitoring our respondents and tracking good behaviour within our research.
We have measures in place to detect and prevent fraud or other inappropriate behaviour during our research. For example, we use advanced technology and sophisticated algorithms to identify and filter out invalid responses, and we have processes in place to verify the authenticity of responses.
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Evaluate
All of our respondents go through a thorough evaluation process to ensure that they meet our strict quality standards. We use advanced technology and sophisticated algorithms to identify and filter out invalid responses, and we have processes in place to verify the authenticity of responses.
In addition, we ensure that all of our panellists have double opted in, which means that they have explicitly agreed to participate in our research and have provided us with their consent. This helps to ensure that our respondents are engaged and interested in participating in our research, which leads to higher-quality data and more accurate insights.
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Representative
Representative quotas are used to ensure that the data we collect is representative of the target population. By setting quotas for specific demographic characteristics, such as age, gender, and geographic location, we can ensure that our sample is representative of the target population and that our data is accurate and reliable.
Applying representative quotas to our surveys helps to ensure that our data is representative of the target population and that our insights are accurate and reliable. It also helps to minimize bias and ensure that our data is representative of the target audience.