The following is a snippet from a job advertisement for a Survey Developer C+R Research
“Provide a project overview by pro-actively looking at all aspects including design, programming, data collection, reporting and data delivery, understanding how all of these aspects interact and influence each other, provide insightful feedback and outline, and deliver to accurate timelines for the work involved.”
The job description understand the relationship between data collection and data analysis.
Thus the importance of data collection instrument is paramount to quality data analysis and reporting.
This past week my family went to Legoland Florida and we took in the Pirate Show. (Overall Legoland was a great experience) After the show I was asked to complete a survey, as apparently they had changed parts of the story line and wanted feedback.
I shudder at the the thought of providing an analysis of that data based on the survey instrument.
One big example:
A question asked, “If you attended with children what were there ages?”
The response scale was something like this.
- Under 3
I spot the error right away because my son is 3. The response scale was not exhaustive– provided an answer for my situation and I assume more people have 3 year olds. It is easy to make that response scale mistake especially when you utilize Under.
I did advise the survey administrator that there scale is off but she did not seem too troubled by it.