Get an overview of the Transfer dashboard.
Transcript
This is the introduction and basic functionality tutorial for the National Student Clearinghouse’s Postsecondary Data Partnership Transfer dashboard. Thank you for joining us.
The Transfer dashboard contains a wealth of information like:
- institutional transfer-out rates for up to eight years after a student’s first enrollment at your institution,
- the percentage of transfer-out students who earned a credential prior to transferring,
- the types of institutions students transferred to,
- and the credential earned by those students after they transferred.
The Transfer dashboard contains three unique metrics. The first metric is the “Earned Credit Milestone,” which is both a dimension and a global filter. Dimensions are used to disaggregate data so we can find achievement or equity gaps, while global filters change the underlying data reported in the dashboard.
Each category for this metric represents a range of credits earned before transferring.
The next metric that is unique to the Transfer dashboard is the “Transferred Within” global filter, which identifies how long after enrolling at your institution students transferred:
• Within the first two years
• Between two and three years
• Between three and four years
• Between four and six years
• And between six years and eight years
And the third unique metric for the Transfer dashboard is the “Destination Institution Type” filter. Here, you can filter the dashboard data to understand the outcomes of students who transferred to two-year institutions, four-year institutions, or both.
Some of the most interesting information in this dashboard is related to credentials earned by students prior to transferring out and credentials earned after transfer.
The Transfer dashboard reports on the proportion of students who earned a credential at our institution prior to transferring. Those credentials are bachelor’s degrees, associate degrees, certificates, or no credential earned.
For students who initially transferred out to a 2-year institution, the dashboard reports on credentials earned by those students. Please note that those credentials may not have been earned at that initial destination institution. Those students may have completed that credential at a subsequent institution.
And, likewise, the dashboard reports credentials for students transferring to a 4-year institution. That same caveat applies – the credentials reported may not have been earned at that initial destination institution.
Before we continue, please remember that the results and trends shown in this tutorial can not be applied to your institution. This data is only for demonstration purposes only. Please review your institution’s data before drawing conclusions.
This is the Home Page for the PDP dashboards. The Transfer dashboard is one of the Outcomes-Over-Time metrics. Clicking that icon brings us to the dashboard.
At the top are the dashboard’s global filters. These include metrics like Gender, First-Generation, and Pell Grant Status. Applying one or more filters allows us to focus on a specific student population like first-generation male students with a Pell Grant.
Here we find one of our unique global filters – the Earned Credit Milestone. This filter allows us to study the outcomes of transfer-out students with differing amounts of earned credits.
Below the global filters is the first reporting section, which provides the total number and proportion of students who transferred out from your institution over the past six cohort years.
If we want to know the number of students who transferred out in the 2017-18 academic year, we can click the “Cohort” global filter, deselect “All”, select “2017-18”, and click “Apply”.
Now, the top figures show us that 27% of the cohort that enrolled at our institution during the 2017-18 academic year have transferred out of our institution. Of those students, 25.4% transferred to 2-year institutions while 74.6% transferred to 4-year institutions. In addition, we see that these transfer-out students earned an average of 29.6 credits at our institution before they transferred out.
Because this data always reports the overall transfer-out information, the only global filter that affects this section is “Cohort”.
Let’s go back to our “Cohort” filter, select “All”, and click “Apply” to populate our dashboard with all reported cohorts.
Below that reporting section, we find the dashboard’s dimensions. These mirror the global filters. Dimensions disaggregate the dashboard charts to help us identify achievement and equity gaps.
Next to the dimensions, we find the global filters we discussed earlier.
Below the dimensions and global filters, we find the framing questions for this dashboard. Here, we learn that this dashboard measures the transfer-out rate, the proportion of students who transferred after receiving a credential at our institution, and those who earned a credential after they transferred.
Now, let’s look at the data charts.
The chart in the upper right is a line chart that shows the total number of students who have transferred out over previous academic years. Keep in mind that we have the “Transferred Within” filter set at less than two years. Hovering over the 2017-18 data point in the line chart, we find that 4,560 students who enrolled at our institution during the 2017-18 academic year transferred out within two years.
If we want to know the types of institutions to which our students transferred, we can apply the Destination Institution Type filter. Click the drop down, deselect “All”, select “2 Year”, and click “Apply”. The data in this dashboard now represent students who enrolled in 2017-18 and transferred to 2-year institutions within two years of enrolling at our institution. Hovering over the 2017-18 data point in the line chart, we find that 1,185 of transfer-out students went to 2-Year institutions.
Now, let’s change the Destination Institution Type filter to 4-Year institutions. Hovering over the 2017-18 data point, we find that 3,375 of our transfer-out students went to 4 Year institutions.
Let’s change the Destination Institution Type filter back to “All”.
Now let’s see the effect that the “Transferred Within” filter has on our line chart. This filter defaults to the “more than zero to 2 Years” category.
Let’s change that filter to “more than 3 to 4 years” and see what happens. Looking at our line chart, we notice that the data for 2017-18 is missing but there’s a simple explanation. In order for students to have attended our institution for three to four years prior to transferring out means that they must have enrolled before the 2017-18 academic year. In other words, there hasn’t been enough time lapsed for students who first enrolled during the 2017-18 academic year to be enrolled three or four years later.
Let’s find out how many students transferred out after 3 to 4 years at our institution from those who first enrolled in 2016-17.
Hovering over that data point, we find that 729 students from that academic year transferred out after spending three to four years at our institution.
Let’s change the “Transferred Within” filter back to “more than zero to 2 Years”.
Now, let’s look at the lower left chart. This chart is a “part-to-whole map,” where the size of each part represents the size of the student subpopulation it represents. This chart reports the credentials earned by students after they transferred out of your institution.
There are four colors used in this chart to help us identify the types of credentials earned by transfer-out students.
The teal segments represent students who have yet to earn a credential.
The blue segments represent students who earned an associate degree after they left your institution.
The orange segment represents students who earned a bachelor’s degree after they left your institution.
And the red segment represents students who earned a certificate after they left your institution.
In addition, notice that there are some credentials with multiple segments, like the two teal segments. One segment is for 4-year destination institutions and the other segment is for 2-year destination institutions. For example:
The first teal segment shows that 61.3% of transfer-out students went to 4-year institutions and have not yet earned a credential.
And the second teal segment shows that 23.7% of transfer-out students went to 2-year institutions and have not yet earned a credential.
Now, let’s see what happens if we set the “Destination Institution Type” filter to 4-Year institutions. We see that our “part-to-whole” chart shows the credentials earned by students who transferred to 4-year institutions within two years of enrolling at our institution.
Hovering over each segment, we find that:
• 82.8% have not yet earned a credential,
• 13.4% have earned an associate degree,
• And 3.5% have earned a bachelor’s degree.
There are radio buttons to the left of the part-to-whole map which allows us to change the cohort. It is important to match your cohort year with the transferred within filter. If you select a transferred within filter that’s greater than the number of years a student has been enrolled in a cohort, then the chart will be blank. Let’s select the 2014-15 cohort.
Based on the filters that we have set, this chart represents the credentials earned by students who first enrolled at our institution during the 2014-15 academic year then transferred out to a 4-year institution after spending two years or less at our institution.
Hovering over each segment, we find that:
• 53.1% of those students have earned a bachelor’s degree,
• 38.3% have not yet earned a credential,
• 8.1% have earned an associate degree,
• And 0.5% of that cohort have earned a certificate.
If we change the “Destination Institution Type” to 2-year institutions, this chart now represents the credentials earned by students who first enrolled at our institution during the 2014-15 academic year and transferred out to a 2-year institution after two years or less at our institution.
Let’s set the “Destination Institution Type” back to “All”.
Now, let’s look at the last chart, which is a stacked bar chart reporting the number of students who did or did not earn a credential at our institution prior to transferring out.
Hovering over the 2017-18 bar, we see that:
20% of students who enrolled at our institution during that academic year and transferred within the first two years earned an associate degree prior to transferring out.
And the remaining students did not earn a credential prior to transferring out.
The Transfer dashboard contains a wealth of information about students’ earned credentials before and after they transferred out of your institution. This data can be viewed over multiple timeframes and destination institution types and can help you understand the long-term outcomes of your students.
Thank you for joining us.