Pairing LaunchBoard and CTE Outcomes Survey Data to Support Economic Mobility Presentation will be live but sample Powerpoint for future reference can be found at: http://bit.ly/EconMobility Presenters: Karen Beltramo, Sr. Project Mgr Michael Pham, Research Analyst WestEd Santa Rosa Junior College kbeltra@wested.org mpham@santarosa.edu

Agenda: Two Examples of LaunchBoard Data Used to Support Conversations Around Economic Mobility 1:50pm – 2:35pm Bringing Data from LaunchBoard and CTE Survey Data into Economic Mobility Conversations: Inland Empire and Chaffey College (Karen Beltramo: kbeltra@wested.org) 2:35pm – 2:50pm College Example: Living Wage Visualization with CTEOS data (Michael Pham: mpham@santarosa.edu) Please ask questions throughout the session

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

Different Views in the LaunchBoard: Thinking About Economic Mobility Offerings: how do your CTE programs compare to others in the region and how do programs at a college compare to each other; time trends Students: getting to know them at the college and in the different program areas Milestones: persistence, retention rates Success: how do students benefit in terms of awards and wage gains for skills builders Employment: how do those successes at the college translate to employment and earnings Earnings: are my students making a living wage?

Economic Mobility: Bringing Data from Launchboard and CTEOS into Conversations Regional Level: looking at outcomes for colleges across a region College Level: looking at outcomes for a college across programs College Level: looking at outcomes for a college across demographics and student populations

Regional Level: Inland Empire | Living Wage Source for Living Wage; Differences – almost 30% difference between colleges; sample or population sizes – pretty healthy with only Copper Mountain below 100 students

Regional Level: Inland Empire | Living Wage First impressions of the data Almost 30% difference between highest and lowest Sample size, population or numerator and denominators Steady increase over the last three years What else would you like to know? Source of the data for living wage Which programs are getting students to a living wage? What does the breakdown look like amongst ethnicities or age groups or gender? Is there a difference between completers and skill builders? Can we ever know which students are missing? Source for Living Wage; Differences – almost 30% difference between colleges; sample or population sizes – pretty healthy with only Copper Mountain below 100

Living Insight Center for Community Economic Development Source for Living Insight Center – will be the source for the FF by COUNTY

Living Wage Calculations for Riverside and San Bernardino Counties Living wage for two counties in Inland Empire – FF change will not affect this region much

Regional Level: Inland Empire | Living Wage | by Ethnicity Can look at metrics by gender, by ethnicity, by age group – can see discrepancies between ethnic groups

Regional Level: Inland Empire | Living Wage | by Program Datamart: Look at FTES to decide which programs to explore

Regional Level: Inland Empire | Living Wage | ECE College of the Desert stands out for ECE with 50% living wage attainment out of 78 students matched

Regional Level: Inland Empire | Living Wage | Accounting

Regional Level: Inland Empire | Living Wage | Automotive Technology

Regional Level: Inland Empire | Median Annual Wages| Completers vs Skill Builders In general, completion seems to pay off in this region

Regional Level: Bay Region| Median Annual Wages| Completers vs Skill Builders Not the same in other regions

Regional Level: Inland Empire | CTEOS Survey | Current Employment Status | Survey Data Students missing in matching to EDD UI Wage data – Self-employed – who important are they in the Inland Empire Region

Economic Mobility: Bringing Data from Launchboard and CTEOS into Conversations Regional Level: looking at outcomes for colleges across a region College Level: looking at outcomes for a college across programs College Level: looking at outcomes for a college across demographics and student populations

College Level: Chaffey College| Living Wage Looking across colleges

College Level: Chaffey College| Living Wage

College Level: Chaffey College| Living Wage | Chaffey vs Region | ECE 6% difference between Chaffey and region in ECE

College Level: Chaffey College| Median Annual Earnings| Chaffey vs Region | ECE | by Completion Status Completers making more money – CAUTION only13 students

College Level: Chaffey College| Current Employment Status| Chaffey vs Region | ECE | Survey Data 100% of only 6 respondents working one job

College Level: Chaffey College| Living Wage | Chaffey vs Region | Automotive

College Level: Chaffey College| Median Annual Earnings | Chaffey vs Region | Automotive Technology | By Completion Status

College Level: Chaffey College| Current Employment Status| Chaffey vs Region | Automotive Technology | Survey Data More self-employed in this program area in the region and at Chaffey

Economic Mobility: Bringing Data from Launchboard and CTEOS into Conversations Regional Level: looking at outcomes for colleges across a region College Level: looking at outcomes for a college across programs College Level: looking at outcomes for a college across demographics and student populations

College Level: Chaffey College| Living Wage | Chaffey vs Region | ECE | by Ethnicity 6% difference between Chaffey and region

College Level: Chaffey College| Persistence Rate| Chaffey vs Region | ECE | by Ethnicity Across the board, better persistence rates at Chaffey – so not a persistence issue – important b/c we saw how completion means more wages in this region

College Level: Chaffey College| Living Wage| Chaffey vs Region | Automotive Technology | by Ethnicity

College Level: Chaffey College| Persistence Rate | Chaffey vs Region | Automotive Technology | by Ethnicity

College Level: Chaffey College| Living Wage| Chaffey vs Region | Accounting | by Ethnicity

College Level: Chaffey College| Persistence Rate | Chaffey vs Region | Accounting | by Ethnicity

College Level: Chaffey College| Living Wage| Chaffey vs Region | Registered Nursing | by Ethnicity

College Level: Chaffey College| Persistence Rates | Chaffey vs Region | Registered Nursing | by Ethnicity

College Level: Chaffey College| Economically Disadvantaged| Chaffey vs Region | All CTE Programs | by Ethnicity Chaffey serves higher populations of Hispanic and White students who are Economically Disadvantaged – could be related

All the Tabs on the Launchboard

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)

Infographics on Data Sources in the Launchboard

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

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.

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

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