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Page 1 of 13 Doc # Tableau_4_v2 Persistence and Completion Data Dashboards CHAPTER 4 Persistence and Completion Data Dashboards Authors & Contributors Department Name Research & Grants Cathy Copeland Research & Grants Grayson Court Periodic Review Annual or as needed Revision History Department Required Name Date Research & Grants Grayson Court 9/14/2017 Research & Grants Grayson Court 6/15/2018 This document is part of Lake Washington Institute of Technology Standard Operating Procedures Library developed by Research & Grants. The Library provides version history and access to materials and discussions captured during protocol development. 1.0 Scope: The purpose of this guide is to help a user navigate within data dashboards in the Tableau Server. 2.0 Materials/Software/Supplies: 2.1. Computer with Internet access through browser. 2.1.1. Some browsers are more compatible with this software than others. Please use Chrome, if possible. 2.2. Tableau Desktop software 2.3. Tableau server login information. 2.3.1. You must attend training to obtain a log-in to the server.

Persistence and Completion Data Dashboards · Doc # Tableau_4_v2 Persistence and Completion Data Dashboards Figure 10 7.6. Unlike the dashboard Persistence and Completion – Overall,

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Page 1: Persistence and Completion Data Dashboards · Doc # Tableau_4_v2 Persistence and Completion Data Dashboards Figure 10 7.6. Unlike the dashboard Persistence and Completion – Overall,

Page 1 of 13 Doc # Tableau_4_v2 Persistence and Completion Data Dashboards

CHAPTER 4

Persistence and Completion Data Dashboards

Authors & Contributors

Department Name

Research & Grants Cathy Copeland

Research & Grants Grayson Court

Periodic Review Annual or as needed

Revision History

Department Required Name Date

Research & Grants Grayson Court 9/14/2017

Research & Grants Grayson Court 6/15/2018

This document is part of Lake Washington Institute of Technology Standard Operating Procedures Library developed by Research & Grants. The Library provides version history and access to materials and discussions captured during protocol development. 1.0 Scope: The purpose of this guide is to help a user navigate within data dashboards

in the Tableau Server.

2.0 Materials/Software/Supplies:

2.1. Computer with Internet access through browser.

2.1.1. Some browsers are more compatible with this software than others. Please

use Chrome, if possible.

2.2. Tableau Desktop software

2.3. Tableau server login information.

2.3.1. You must attend training to obtain a log-in to the server.

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3.0 Equipment:

3.1. Computer with internet access

4.0 Safety:

4.1. Remember to take frequent breaks from computer use to prevent eye strain!

5.0 Procedure – Viewing the Dashboard Persistence and Completion - Overall

5.1. Please see Chapter 2 for detailed instructions on how to navigate to the

community dashboards.

5.2. Within the project titled Core Theme: Student Achievement, select the workbook

titled Persistence and Completion – Overall.

5.3. Once you are in the workbook, select the dashboard titled Persistence and

Completion – Overall (Figure 1).

Figure 1

5.4. After selecting “VIEW”, you will be redirected to the primary dashboard. Here

you will see data and statistics of all new students who entered the college

based on their entering quarter. This includes the full entering cohort, enrollment

and persistence by quarter, overall completion rate, running total of students

who completed by quarter, awards by title, average quarters enrolled, and

percentage of students who earned college-level credit. Please see Figure 2 for

a sample of what you might see.

5.4.1. All data and statistics visible on the dashboard are in context of the

entering cohort selected. In this case, 1,228 new students enrolled in

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the college in Fall 2015. Of those students, 45.6% returned in Fall 2016

and 151 earned a degree or certificate by Spring 2017.

Figure 2

5.5. To learn more about what the data means, hover over the yellow lightbulb in the

top, right-hand corner, highlighted in Figure 2.

5.5.1. A pop-out image will show on your screen titled “What does the data

mean?” providing additional details of the statistics and analysis within

the dashboard. Please see Figure 3 for an example of what you might

see.

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Figure 3

6.0 Procedure – Filtering the Dashboard

6.1. To select a new group of students to study, select the filter in the top left-hand

corner titled “Entering Cohort”. Scroll down and select a new entering quarter:

“B672 – Fall 2016”. (See Figure 4 below). The dashboard has now completely

updated to reflect only students who first entered the college in Fall 2016. The

categories have remained the same, but the new data and statistics have been

updated. (See Figure 5 below)

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Figure 4

Figure 5

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6.2. To view student outcomes for only degree-seeking students, select the filter

“Award-Seeking” and scroll down to “Degree-Seeking”. Select “Degree-

Seeking”. The dashboard will now update to reflect students who first entered

the college as degree-seeking students in Fall 2016. See Figure 6 for an

example of what you might see.

6.2.1. In this example, 363 students first entered the college in Fall 2016 with

the intent to earn an academic award. Of those students, 59.8%

continued to stay enrolled in Fall 2017 and 22 earned an award by

Spring 2017.

6.2.2. Student intent, enrollment status, and award-seeking status are based

on the student’s intent during their first quarter of enrollment. If the

student decided later to take courses part-time, they will continue to be

included as part of this entering cohort even though they did not have

full-time status in the following quarters.

Figure 6

6.3. To view student outcomes by race/ethnicity, select the filter “Race/Ethnicity”,

unselect the boxes “White” and “Not Reported”, then select the button “Apply”.

The dashboard will now update to reflect only degree-seeking students of color

who first entered the college in Fall 2016. See Figure 7 for an example of what

you might see.

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6.3.1. You will notice the title of the “Race/Ethnicity” filter states “multiple

values”. This refers to multiple race/ethnicities selected, just not all

categories.

Figure 7

5.1. To restart your analysis, select “Revert” to clear out all filters. Please refer back

to Chapter 2 for details about this step.

7.0 Procedure – Viewing the Dashboard Persistence and Completion - Programs

7.1. Please see Chapter 2 for detailed instructions on how to navigate to

dashboards.

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7.2. From the Persistence and Completion – Overall dashboard, navigate back to the

project Core Theme: Student Achievement using the navigation bar at the top of

your account. (see circled image in Figure 8)

Figure 8

7.3. Within the project titled Core Theme: Student Achievement, select the workbook

titled Persistence and Completion – Programs.

7.4. Once you are in the workbook, select the dashboard titled Persistence and

Completion – Programs (Highlighted in Figure 9)

Figure 9

7.5. After selecting “VIEW”, you will be redirected to the primary dashboard. Here

you will see data and statistics of all new students who entered each program.

This includes the same categories as the dashboard Persistence and

Completion – Overall. Please see Figure 10 for a sample of what you might see

with Accounting as a sample.

7.5.1. For more information on how programs are classified using Educational

Program Codes (EPC), please see “Chapter 3 – Tableau Dashboard

Navigation.”

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Figure 10

7.6. Unlike the dashboard Persistence and Completion – Overall, this analysis is

restricted to enrollment within the academic program selected only, and does

not include enrollment in other programs if the student had prior history at the

college.

7.6.1. If a student began in Accounting but decided to change to Welding,

they will show up in both programs but in different entering cohorts (two

separate programs).

7.6.2. The entering cohort refers the first quarter students are enrolled in the

program selected, not the college.

7.6.3. When reviewing persistence rates, this reflects the percentage of the

entering cohort enrolled in each preceding quarter within the program

selected. This does not refer to quarter-to-quarter retention, students

may leave and return in following quarters and/or years. If a student

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moves to another program, they will no longer show up in this table. This

is similar to average quarters enrolled.

7.6.3.1. When viewing this dashboard, it is important to view any drops in

persistence alongside completion rates.

7.6.4. Overall completion rates calculate the percentage of the entering

cohort within the program who received any academic award at the

college, and may include awards outside of the program selected.

Similarly, quarterly completion calculates the running total (unduplicated

count) of academic awards each quarter earned by the entering cohort

and may also include awards outside of the program selected.

7.6.5. In this example, 19 students entered the Accounting program in Fall

2015 and 47.4% continued to enroll in the program in Fall 2016.

7.7. To select a new program to study, select the filter in the top left-hand corner

titled “Academic Program”. Scroll down and select a different program: “Center

for Architecture, Design, and Engineering (CADE)”. (See Figure 11 below). The

dashboard has now completely updated to reflect only students who first entered

the CADE program in Fall 2015. The categories have remained the same, but

the new data and statistics have been updated to reflect only this program. (See

Figure 12 below)

7.7.1. In this example, 48 students entered the CADE program for the first

time in Fall 2015. Of those students, 41.7% continued to stay enrolled in

Fall 2016.

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Figure 11

Figure 12

7.8. To narrow the analysis to a specific degree/certificate track within the CADE

program, select the filter “Degree/Certificate Offering”. The filter will include all

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degree and certificate offerings within the CADE program. (See Figure 13 for an

example of what you might see).

Figure 13

7.9. Select the box “All” to clear the filter, then select the offering “AAS-T Mechanical

Design Tech”. The dashboard will now update for only this specific degree

offering. (See Figure 14 for an example of what you might see).

7.9.1. In this example, 25 students first entered the AAS-T Mechanical

Design Tech degree track in Fall 2015. Of those students, 40.0%

continued to enroll within this degree track in Fall 2016.

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Figure 14

7.10. To restart your analysis, select “Revert” to clear out all filters to begin once

more. Please refer back to Chapter 2 for details about this step.

7.11. You are now ready to explore new information as the dashboard is reset.

8.0 Contacts for troubleshooting

8.1. If you have any trouble with this procedure, please contact Grayson Court or

Cathy Copeland for assistance.

8.1.1. Their emails are [email protected] and

[email protected].