Process of validating a survey
In New York City, Arizona, Australia, North Carolina, Florida, California, Canada, Ireland and in the Finger Lakes Region of New York state, that process is well underway. I started out wanting to develop a simple survey that would assess a person’s diet compared to Dr. Colin Campbell’s definition of an optimal diet: In 2009, I reviewed the concept of six levels of eating with Colin at his breakfast table in Ithaca.
These seven dimensions of relational coordination were discovered through qualitative field research.
The key to making use of this potentially invalid data is data validation.
Data visualization provides an entirely new way to determine if your data is valid.
Validity is important because it determines what survey questions to use, and helps ensure that researchers are using questions that truly measure the issues of importance.
The validity of a survey is considered to be the degree to which it measures what it claims to measure.
Together these dimensions form the relational coordination construct, which has been fully validated, and is associated with a wide array of performance outcomes.