What happens to Factors that I leave blank?

If you’re using variable Factors (little, moderate, a lot), then you have the option to mark Factors as none (didn’t happen) or leave them blank (excluded from the data for correlations). 

However, for binary Factors (yes/no), then days left blank are assumed to be “no” i.e. the factor didn’t happen as opposed to being blank. That is, blank binary Factors are included in the data for correlations as ‘didn’t happen’. 

We do have plans to update this to include the option to mark binary Factors as blank, so hopefully, you’ll see this in an update to Bearable soon.