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Interpret Powerful Predictor graphs

Each Powerful Predictor has a corresponding graph called a Powerful Predictor Chart.

The x-axis of the Powerful Predictor Chart represents all of the possible values for the Powerful Predictor. These values can look very different depending on how the Powerful Predictor is measured. For example, gender will appear as a bar chart with male and female values. The y-axis always represents the percentage of the filtered student group at each value.

For each Powerful Predictor value on the x-axis, the blue line represents the total percentage of persisting students at your institution over a specific period of time (usually the past calendar year) at each value of the Powerful Predictor. The red line represents the total percentage of non-persisting students at each value.

Here are two ways you can analyze these graphs: tipping points and momentum points.

  • The tipping point is where the lines cross, or where the balance of persisting and non-persisting students flips.
  • Momentum points are the large spikes in the lines on the graph. These spikes represent large populations of persisting students or non-persisting students. These spikes can be indicators of highly predictive behavior.

Highlight a segment of the graph to see additional details about persisting students and non-persisting students over a certain range of values. Identifying these smaller segments can assist with resource planning. For example, if you are able to identify that 40% of your non-persisting first time in college, undergraduate students were those who enrolled fewer than 24 days before the start of term, you can focus resources on encouraging active students that registered within this time frame for the current term to register earlier next term.

Click View Active Students in the upper right corner of the highlighted Powerful Predictor Chart to see a list of students that fall in the selected segment for this Powerful Predictor.


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