Our core values are respect, professionalism, honesty and integrity.
1. Respect
We have an obligation to protect fundamental human rights, especially those of others about whom or from whom we collect data.
We should not suppress or improperly detract from the work of others.
We should avoid causing needless injury or harm to others.
We should act in ways that promote the welfare of other people.
We respect the privacy of others and promises of confidentiality given to them.
2. Professionalism
a. Responsibility
b. Competence and Expert Knowledge
c. Informed judgment
We are responsible to our
employers.
We work to understand our users’ needs.
We use our statistical knowledge, data, and analyses to serve society and human
well-being, i.e., fulfill the public interest.
We are responsible for the fitness of data and of methods for the purpose at
hand.
We should obey the law and work to change laws we believe impede good
statistical practice.
We need to assure that we do not have conflicts of interest in our work.
We are continuously learning both about our own field as well as those to which
we apply our methods.
We develop new methods as appropriate.
We discuss difficult issues objectively and contribute to their resolution.
3. Honesty and Integrity
a. Independence
b. Objectivity
c. Transparency
Our approaches and work
products reflect the qualities of openness and clear purpose.
We are accountable for our actions.
We have respect for intellectual property.
We represent data and analyses honestly and openly.
We strive to collect and analyze data of the highest quality possible.
As scientists, we expect to pursue new ideas and criticize old ones.
We work towards the logical coherence and empirical adequacy of our data and
conclusions.
We value "pre-established apersonal criteria" of assessment