Digital forms can record more information beyond the questions that appear on-screen. For example, you’re probably familiar with reviewing the time a form started and ended, or the time it took to complete the form. Mobile devices can also collect all sorts of sensor readings–like movement and noise–that can reveal important clues about the conditions under which the data was collected. And SurveyCTO can be easily used to flag outlying sensor statistics for a whole new level of awareness of data quality.
In this webinar, we walk you through setting up a sensor-based quality check, and consider some records flagged in the review workflow. We also consider individual values relative to the distribution of those values, so you get some idea of why those values are outliers. You’ll receive step-by-step guidance on how to do the following:
- Include sensor statistics in your forms with the online form designer and this accompanying sample form.
- Set up an automatic quality check to flag your sensor statistic fields for outliers.
- Use the automated quality check as a criterion for flagging submissions for human review in the review and corrections workflow.
- Scrutinize your form submissions as data arrives in your server console.
To learn more, you can explore the following support articles:
- A quick start guide to sensor powered quality control
- Using sensor meta-data
- Stata commands for sensor data
If you are interested in the collaborating with us to collect sensor data for our machine learning system, please fill out the collaboration registration form. And if need help now, our support team is available 24×7. Go to the Support Center and click on the link to “Submit a support request.” No question is too small.
