A sample in which the selection of units is based on factors other than random chance, e.g. convenience, prior experience, or the judgement of the researcher. Examples of non-probability samples are: convenience, judgmental, quota, and snowball.
The Insights Association protects and creates demand for the evolving Insights and Analytics industry by promoting the indisputable role of insights in driving business impact. All revenue is invested in quality standards, legal and business advocacy, education, certification and direct support to enable our members to thrive.
The 2019 IA Code of Standards and Ethics for Marketing Research and Data Analytics may be found here.
Our members are the world's leading producers of intelligence, analytics and insights defining the needs, attitudes and behaviors of consumers, organizations and their employees, students and citizens. With that essential understanding, leaders can make intelligent decisions and deploy strategies and tactics to build trust, inspire innovation, realize the full potential of individuals and teams, and successfully create and promote products, services and ideas.