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Scorecard Update Salary Surfer/Wage Tracker Alice van Ommeren Ryan Fuller

Scorecard Update Salary Surfer/Wage Tracker Alice van Ommeren Ryan Fuller . Research, Analysis and Accountability. Updates on the Scorecard . April was the release of the Scorecard Scorecard metrics now on the DataMart Calculate rates by district

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Scorecard Update Salary Surfer/Wage Tracker Alice van Ommeren Ryan Fuller

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  1. Scorecard Update Salary Surfer/Wage TrackerAlice van OmmerenRyan Fuller Research, Analysis and Accountability

  2. Updates on the Scorecard • April was the release of the Scorecard • Scorecard metrics now on the DataMart • Calculate rates by district • Allows for multiple crosstabs (demographics) • Disabled Students Programs & Services (DSPS) & Economically Disadvantaged Status • System Level Report to BOG in September • Scorecard Advisory Group reconvenes in the fall

  3. Cohort Challenges for CTE Metric • Identifying a CTE /Vocational student • Student stated goal is not valid • Difficult to determine student behavior • Defining success/completion • 1-2 vocational courses, leave college • Not capturing employment/licensing • Students not tied to Programs

  4. CTE Rate: The Cohort • Cohort (denominator, SSN students) • First-time in CTE course defines cohort • Completed greater than 8 units in 3 years in a single discipline of vocational/technical courses (2-TOP) • At least one of the courses coded as Sam B or C

  5. CTE Rate: The Outcomes • Outcomes (numerator) within 6 years • Certificates 12+ units (CO approved) • Associate of Arts/Sciences • Transfer • Transfer Prepared

  6. CTE Rate by Demographics • Filipino and Asians have the highest CTE rate, and African Americans the lowest • CTE Rate is higher for females than for males • Compared to other age groups, 24 year olds and younger have the highest CTE Rate • Economically disadvantaged have slightly higher rates, also those receiving disability services

  7. CTE Rates and Outcomes • Distribution of Outcomes in CTE Rate • Certificates (17%) • Associate of Arts/Sciences (28%) • 22% of the students have just this one outcome • Transfer (16%) • Transfer Prepared (39%) • 25% of the students have just this one outcome

  8. Limitations of the CTE Rate • Based on behavioral intent, not on students declared or stated goal • The rate has been developed and has face validity, need to determine construct validity • Besides concentrators, not able to analyze at the program level • Does not capture CTE Skills Upgrade students

  9. We are working on… • Continue (construct) validating the metric • Analyze the rates by discipline focus • Regional/colleges differences among rates • Include apprenticeship data as an outcome • Department of Apprenticeship Standards • Linking to wage data, including NCIS codes • Develop a “Skills Builder" metric for CTE

  10. Salary Surfer and Wage Tracker Tools on Datamart

  11. Methodology • Two different methodologies • System wages for award completers • College wages for award completers • Award completer data joined with EDDUI wage data. • Both wage methodologies break out by award discipline (6-digit TOP code) and award type.

  12. System Wage Tracker (Salary Surfer) • Award completers over 5 academic years, exclude: • Enrolled anywhere in higher education after award • 21 and under at time of award • Join with EDDUI (Unemployment Insurance) wage file • Sum all quarters of wages to student annual wage • All wages inflation adjusted using California CPI-U • Calculate median wages by discipline and award type • Median calculated for students with wages 2 years before award, 2 years after and 5 years after award

  13. College Wage Tracker (DataMart) • Same methodology as system wages, except: • Series of 8 years of award completers (to increase the number of students in the cohorts) • Median calculated for students in cohort with wages 3 years after award • Calculate median wages by “college,” discipline and award type • Includes locally approved certificates and the count of students matched

  14. System vs. College Methodology System College

  15. Data Caveats • EDDUI Data contains wages of occupations covered by CA Unemployment Insurance • Excludes military, federal government, self-employed, out of state and unemployed • No way of determining part time or full time wages. Hours worked not in the EDDUI data. • Only students with SSNs • Wages are adjusted for inflation to current dollars using the California CPI-U

  16. Analysis Caveats • Region/locale significantly impacts wages, so caution in comparing earnings across the state • Wages are not necessarily from employment associated with a particular award discipline • Wage outcomes should not be a sole measure of institutional effectiveness/program quality • Other factors besides earnings motivate students to earn an award in a specific discipline

  17. Accessing Tools and Resources • Query modules using both methods are available in Datamart • System Wage Tracker & College Wage Tracker • Salary Surfer is the same as System Wage Tracker and available at salarysurfer.cccco.edu • Additional wage resources on our webpage • Median wages by program code are available for colleges in Data-on-Demand

  18. College Wages by Program • Available on Data-on-Demand (password) • College Wages for Awards by Program Code (SP04) instead of TOP Code (SP01) • Select award year and shows the individual years, between 2 years before and 5 years after • Wages are not adjusted for inflation • No cell suppression, so able to see more wages • Includes median wages and associated counts

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