1. LaunchBoard in Action
Presentation will be live but sample Powerpoint for future reference can be found at:
Presenters:
Karen Beltramo, Sr. Project Mgr Louis Quindlen, Dept. Chair Machine Technology
WestEd Laney College

2. Agenda: Two Examples of LaunchBoard Data Used to Support and Check Outcomes of Local Improvement and Expansion Efforts
11:40 - noon
Intro and Regional Example: New program recommendation report student outcomes section (Karen Beltramo:
noon - 12:40
College Example: Machining and Machine Tools validating data, ideas for investments and for where to focus student outreach, program review (Louis Quindlen:
Please ask questions throughout the session

3. Reminder of Data Sources for LaunchBoard
Student and program data, including characteristics, progress, and completion from the CCCCO MIS database
Employment and earnings data from Employment Development Department
CTEOS outcomes from the CTE Outcomes Survey
Labor market information from EMSI
Inner vs External Factors

4. Bay Region: New Program or Revision to Existing Program Recommendations
If a college in a region is going to invest in developing a new program or substantially revise an existing ones, are students exiting from existing programs (on the same TOP code) getting hired and making a living wage or transferring? If not, then should the investment be made to develop that program?
Added Student Outcomes Information from LaunchBoard to the CoE Template

5. Laney College: Request for Review of an Existing Electrical Technology Program
Looked at four metrics

6. Diablo Valley College: Request for a New Digital Marketing Program
Looked at four metrics

7. Two Examples of LaunchBoard Data Used to Support and Check Outcomes of Local Improvement Efforts
Bay Region: New program recommendation report student outcomes section
Laney College: Machining and Machine Tools validating data, ideas for where to focus student outreach, program review

8. Using the Data in LaunchBoard and CTEOS as Directional Signage and/or Verification
Verifying Institutional Data Reported to MIS
Modifying Curriculum – TOP code alignment
Leading to Development of Tools to Obtain More Actionable Data
Making Investment Recommendations
Reporting Student Outcomes for Program Review

9. Bay Region: Programs on 0956.30 Machining and Machine Tools
Programs on in the Bay Region

10. Laney College| Enrollments | Machining and Machine Tools
Little bit of a downward trend in enrollments

11. Laney College | Students by Ethnicity| Machining and Machine Tools | Compared to Region
Ethnic breakdown of students taking courses on at Laney vs Bay Region

12. Laney College | First-Time Students| Machining and Machine Tools | Compared to Region
10% Increase from to – Ability to verify that your institutional data is reported correctly to MIS from your college

13. Laney College | Economically Disadvantaged| Machining and Machine Tools | Compared to Region
Jump in economically disadvantaged (per Perkins definition) for Laney College

14. Laney College | Students Who Previously Took a HS CTE Course| Machining and Machine Tools | Compared to Region
6% lower than region

15. Laney College | Primary Reasons Students Studied at a College| Machining and Machine Tools | Compared to Region | Survey Data
CTEOS Survey on primary reason students studied at college. Note high % who were updating job skills

16. Laney College | Persistence Rate| Machining and Machine Tools | Compared to Region
Similar to region – note a bit of a dip

17. Laney College | Persistence Rate| Machining and Machine Tools | Compared to All CTE Programs at Laney College
Compared to all CTE Programs at Laney College

18. Laney College | No. of Students Who Earned Awards| Machining and Machine Tools | Compared to Region
Looks like a large jump – be careful of scale of graph from 16 to 19

19. Laney College | Employed 4th Q After Exit| Machining and Machine Tools | Compared to Region
Similar to region but drop from high of 82% in

20. Laney College | Employed 4th Q After Exit| Machining and Machine Tools | Compared to Region | By Ethnicity
How does employment look by ethnic group?

21. Laney College | Employed 4th Q After Exit| Machining and Machine Tools | Compared to Region | By Completion Status
Only Skillsbuilders Matched in UI wage data set

22. Laney College | Job in Field of Study| Machining and Machine Tools | Compared to Region | Survey Data
Employed in field of study at higher rates than region but note significant drop but fairly small sample size of 14 students in and 9 students in who responded from Laney

23. Laney College | Proportion of Students Who Attained a Living Wage| Machining and Machine Tools | Compared to Region
10% drop for Laney college students from at 85% to 75% in

24. Laney College | Proportion of Students Who Attained a Living Wage| Machining and Machine Tools | Compared to Region | By Ethnicity
Not enough students matched to see differences – Masked category is large

25. All the Tabs on the Launchboard

26. The LaunchBoard offers a suite of dashboards that helps community colleges track progress toward economic mobility
Community College Pipeline: program review
Guided Pathways tab: first year progress indicators
SWP tab: end-of-college indicators
K14 CTE Pathway tab: transition from K-12 into college
CTEOS tab: nuanced employment indicators (integrated into the Community College Pipeline in summer 2018)
Adult Ed Pipeline: transition from adult ed into college (summer 2018)

27. Infographics on Data Sources in the Launchboard

28. Resources
Access a searchable database of resources, or find related resources embedded in the Community College Pipeline

29. Perkins Indicator Reports
What are some of the potential inconsistencies of the data in Launchboard vs other sources AT THIS TIME?
Datamart vs Launchboard
Data Mart
Launchboard Data
Can be updated any time by colleges
Refreshed quarterly with MIS data
Enrollments include drop-outs
Enrollments do NOT include drop-outs
Perkins vs Launchboard
Perkins Indicator Reports
Launchboard Data
Limited cohort of students reported: more than one credit vocational course, valid SSN, did not enroll in K-12, no prior post-secondary credential, either completed 12+ vocational units under same 2-digit TOP or earned a vocational award
Broad cohort of students: taken one or more course in the selected TOP code in the selected year
Focus on Five Core Indicators: technical skills attainment; earned a credential, certificate or degree; persistence or transfer; job placement; nontraditional participation and completion
100s of metrics: shown more at a granular level without combining metrics i.e. completion and transfer are shown separately
I was wondering about trying to be really upfront about the inconsistencies and limitations of the data.

30. Perkins Indicator Reports
What are some of the potential inconsistencies of the data in Launchboard vs other sources AT THIS TIME (continued)?
Perkins vs Launchboard (continued)
Perkins Indicator Reports
Launchboard Data
Diaggregations: gender, nontraditional students, displaced homemakers, economically disadvantaged, limited English proficiency, single parents, students with disabilities, Tech Prep status
Diaggregations: gender, students with disabilities and limited English proficiency
In Addition to Perkins: took non-introductory courses, skills-builders, exiters, race/ethnicity, age group, foster youth, veterans, first-generation, ever received financial aid, every took basic skills English or math course, first-time status, returning after an absence, ever attended another college in the same pathway, previously received a CCC award, previously graduated from a 4-Yr, and previously took a high school CTE course

31. What are some of the potential limitations of the data in Launchboard AT THIS TIME?
Employment & Earnings Data
Who is Included
Who is Left Out
What Could Be Done
Students with Valid SSNs matched to EDD UI wage file
Any student without a valid SSN
Not sure???
Self-Employed
Franchise Tax Board
Employed outside of California
Get info. From Federal database
Serving in the Military
Notes on representation of students in the Launchboard:
70-80% of students with valid SSNs are matched
From the CTE Outcomes Survey, about 10% of students report being self-employed