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Below is the change in Time Spent on General Communication & Scheduling seen after the predictor is higher than average.
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Below is the change in after the listed predictor is higher than average.
(Math.abs(a['change']) < Math.abs(b['change'])) ? 1 : -1)" title="Click to put the results with the largest observed change at the top" > Sort by Effect Size
(a['number_of_days'] < b['number_of_days']) ? 1 : -1)" title="Click to put the results with the most supporting data points at the top." > Sort by Confidence
Time Spent on General Communication & Scheduling Info
|Variable Name||Time Spent on General Communication & Scheduling|
|Analysis Performed At||2020-10-11|
|Duration of Action||24 hours|
|Maximum Allowed Value||7 days|
|Minimum Allowed Value||0 seconds|
|Number of Aggregate Predictors||2|
|Number of Aggregate Outcomes||33|
|Number of Measurements||1061|
|Number of Measurements (including those generated by tagged, joined, or child variables)||648|
|Onset Delay||0 seconds|