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Accountability Reporting for California Community Colleges

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Title: Accountability Reporting for California Community Colleges


1
Accountability Reporting for California Community
Colleges
  • Patrick Perry
  • Vice Chancellor of Technology, Research, Info.
    Systems
  • CCC Chancellors Office

2
Data Preamble
  • Information is the currency of democracy.
    -Thomas Jefferson
  • Get your facts first, then you can distort them
    as you please. -Mark Twain
  • In the twenty-first century, whoever controls
    the screen controls consciousness, information
    and thought. -Timothy Leary

3
The CCC System
  • 109 campuses, 72 districts, all locally governed
  • 2.6 million students (annual unduplicated)
  • 1.1 million FTES (annual)
  • 35 white half over age 25 70 part-time
  • No admissions requirements
  • 20/unit 40 get fees waived
  • Highest participation rate of any CC system in
    US 25 of all CC students are CCC

4
Participation (and Fees)
5
CCC Chancellors Office
  • Weak authority powers vested locally
  • Unitary MIS data collection (1992)
  • Student, faculty, course, section, session, grade
    level detail
  • Data collected end of term, 3x/yr
  • Used for IPEDS, apportionment, accountability,
    research, online data mart

6
History of CCC Accountability
  • Simple reporting, fact books until 1998
  • 1998 State provides 300m ongoing in exchange
    for accountability reporting
  • Partnership for Excellence was born
  • CCC developed report in isolation
  • CCC allowed to determine adequate progress
  • Contingent funding never triggered
  • Used 5 metrics to measure system and
    college-level performance

7
PFE Metrics
  • Annual volume of transfers to CSU/UC
  • Annual volume of awards/certificates
  • Rate of successful course completions
  • Annual volume of Voc. Ed. Course completions
  • Annual volume of basic skills improvements (lower
    to higher level)
  • 4 of 5 are volume metrics, only 1 rate

8
The State Said
  • Your metrics allow for no adequate college
    comparisons
  • Your method of determining adequate progress is
    suspicious
  • You only look good because you are growing
  • Partnership over (2001), but keep reporting,
    (until 2004)
  • we have to spend your money buying energy from
    Enron

9
What Happened Next
  • Gov. Gray Davis recalled for spending money
    buying energy from Enron
  • Replaced by
  • The Governator

10
The Governator
  • Likes Community Colleges
  • Comes from a country that has European academic
    bifurcation (Austria)-university vs trade paths
  • Attended Santa Monica Community College
  • Took ESL, PE, bookkeeping, micro/macroeconomics
  • Transferred to U. Wisconsin-Superior

11
And Arnold Said
  • We shall haves deez accountabeelity seeztem for
    de community collegez.
  • A bill was passed to create the framework, and
    eventually the framework was enacted.
  • Named Accountability Reporting for Community
    Colleges (ARCC).

12
Arnold Said
  • There shall be no pay for performance, but there
    will be the ability to compare performance.

13
We Said
  • Some metrics will be system only others will be
    at college-level
  • College metrics will be rates (to mitigate size
    for comparison)
  • No rankingswe will compare colleges against
    their peers
  • No ARCC is a dashboard accountability
    report.

14
Arnold Said
  • Colleges need to address their performance
    annually to the State.

15
We Said
  • Colleges are more responsive to their local
    district Board annual requirement to take local
    ARCC results to local Board and submit minutes to
    State
  • Colleges must submit 500 word response, which
    becomes a part of the final report.

16
Arnold Said
  • The report shall be done in collaboration with
    the State, not in isolation.

17
We Said
  • The Dept of Finance, Leg Analyst, and Secretary
    of Education shall be a part of the technical
    advisory committee (along with CCC researchers
    and stakeholders).
  • We will either succeed or fail together.
  • This was a really smart move.

18
ARCC
  • The Model
  • Measures 4 areas with 13 metrics
  • Student Progress Achievement-Degree/Certificate/
    Transfer
  • Student Progress Achievement-Vocational/Occupati
    onal/Workforce Dev.
  • Pre-collegiate improvement/basic skills/ESL
  • Participation
  • Process is not measured

19
Student Prog. Achievement Degree/Cert/Xfer
  • College
  • Student Progress Achievement Rate(s) (SPAR)
  • 30 units Rate for SPAR cohort
  • 1st year to 2nd year persistence rate
  • System
  • Annual volume of transfers
  • Transfer Rate for 6-year cohort of FTFs
  • Annual of BA/BS grads at CSU/UC who attended a
    CCC

20
Student Prog. Achievement Voc/Occ/Wkforce Dev
  • College
  • Successful Course Completion rate vocational
    courses
  • System
  • Annual volume of degrees/certificates by program
  • Increase in total personal income as a result of
    receiving degree/certificate

21
Precollegiate Improvement/Basic Skills/ESL
  • College
  • Successful Course Completion rate basic skills
    courses
  • ESL Improvement Rate
  • Basic Skills Improvement Rate
  • System
  • Annual volume of basic skills improvements

22
Participation
  • College
  • None yetbut coming.
  • System
  • Statewide Participation Rate (by demographic)

23
Major Advancements of ARCC
  • Creating a viable alternative to the GRS Rate for
    grad/transfer rate.
  • Finding transfers to private/out of state
    institutions.
  • Doing a wage study.
  • Geo-mapping district boundaries.
  • Creating peer groups.

24
Defining Grad/Transfer Rate
  • Student Progress Achievement Rate (SPAR Rate)
  • IPEDS-GRS for 2-yr colleges stinks
  • No part-timers
  • How do you define degree-seeking?
  • Tracking period too short
  • Outcomes counting methodology terrible
  • AA/AS/Cert counted before transfer
  • Transfer to 2-yr college is counted

25
SPAR Rate
  • Defining the cohort
  • Scrub first-time by checking against past
    records (CCC, UC, CSU, NSC)

26
SPAR Rate
  • Define degree-seeking behaviorally for CC
    populations
  • Not by self-stated intent this is a poor
    indicator
  • Behavior did student ever attempt
    transfer/deg-applicable level math OR English (at
    any point in academic history)
  • Students dont take this for fun

27
Defining Degree-Seeking Behaviorally
  • Separates out remedial students not yet at
    collegiate aptitude
  • Measure remedial progression to this threshold
    elsewhere
  • Creates common measurement bar of student
    aptitude between colleges
  • Same students measuredviable comparison

28
SPAR Rate-Unit Threshold
  • CCC provides a lot of CSU/UC remediation
  • Lots of students take transfer math/Eng and
    leave/take in summer
  • Should not count these as success or our
    student
  • Set minimum unit completed threshold (12) for
    cohort entrance
  • Any 12 units in 6 years anywhere in system

29
SPAR Denominator
  • First-Time (scrubbed)
  • Degree-seeking (at any point in 6 years, attempt
    transfer/degree applicable math or English)
  • 12 units (in 6 years)
  • This represents about 40 of students in our
    system

30
SPAR Numerator
  • Outcomes the State wants
  • Earned an AA/AS/certificate OR
  • Transfer to a 4-yr institution OR
  • Become transfer-preparedOR
  • Completed 60 xferable units
  • Became transfer-directed
  • Completed both xfer level math AND English
  • No double-counting, but any outcome counts
  • SPAR Rate51

31
Tracking Transfers
  • SSN-level matches with CSU, UC
  • Natl Student Clearinghouse for private,
    proprietary, for-profit, out of state
  • Match 2x/yr, send all records since 1992
  • Update internal xfer bucket
  • Works great for cohort tracking
  • Needed method for annual volume

32
Tracking Transfers
  • Annual Volume of Transfers
  • CSU/UC they provide these figures based on their
    criteria
  • We didnt want to redefine this
  • Private/Out of State NSC cross-section cut
    method
  • Validated against CSU/UC xfers from NSC source
  • Added another 30 to annual volumes

33
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34
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35
Transfer Sector of Choice
36
Demography of Transfer
37
The Rise of The Phoenix
38
Who Transfers to Phoenix?
39
Wage Study
  • What was the economic value of the degrees
    (AA/AS/certificate) we were conferring?
  • Required data match with EDD
  • Had to pass a bill changing EDD code to allow
    match

40
Wage Study
  • Take all degree recipients in a given year
  • Subtract out those still enrolled in a CCC
  • Subtract out those who transferred to a 4-yr
    institution
  • Match wage data 5 years before/after degree

41
Wage Study
  • Separate out two groups
  • Those with wages of basically zero before degree
  • Those with gt0 pre wage
  • The result The Smoking Gun of Success

42
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43
Mapping Districts
  • CC Districts in CA are legally defined, have own
    elections, pass own bonds
  • We did not have a district mapping for all 72
    districts
  • So we couldnt do district participation rates

44
Mapping Project
  • Get a cheap copy of ESRI Suite
  • Collect all legal district boundary documents
  • Find cheap laborno budget for this

45
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46
Peer Grouping
  • Peers historically have been locally defined
  • My neighbor college
  • Other colleges with similar demography
  • Other colleges with similar size

47
Peer Grouping
  • Taking peering to another level
  • Peer on exogenous factors that predict the
    accountability metrics outcome
  • Thus leaving the endogenous activity as the
    remaining variance
  • Cluster to create groups
  • We picked 6 clusters, with a min of 3 in a
    cluster
  • Each metric produces different factors, peers,
    clusters

48
Peer Grouping Example
  • Peering the SPAR Rate
  • 109 rates as outcomes
  • Find data for all 109 that might predict
    outcomes/explain variance
  • Perform regression and other magical SPSS things
  • See how high you can get your R2

49
Finding Data
  • What might affect a grad/transfer rate on an
    institutional level?
  • Student academic preparedness levels
  • Socioeconomic status of students
  • First-gen status of students
  • Distance to nearest transfer institution
  • Student age/avg unit load

50
Finding Data
  • We had to create proxy indices for much of these
    (142 tried)
  • GIS system geocode student zipcode/ZCTA
  • Census lots of data to be crossed by zip/ZCTA
  • Create college service areas based on weighted
    zip/ZCTA values
  • Different than district legal boundaries

51
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52
Finding Data
  • The Killer Predictor
  • Bachelor Plus Index, or what of service area
    population of college has a bachelors degree or
    higher
  • Bachelor Plus Index a proxy for
  • First gen
  • Academic preparedness
  • Socioeconomic status
  • Distance to nearest transfer institution

53
Peering SPAR Rate
  • Exogenous factors that predict SPAR Rate
  • Bachelor Plus Index
  • older students
  • students in basic skills
  • R2 .67
  • Whats left is implied institutional variance
  • Demo

54
Peering Whats Bad
  • Its complex and somewhat confusing and labor
    intensive.
  • Colleges traditional notion of peer is shaken
  • Multiple peers for multiple metrics can change
    every year
  • You could do well vs. State average, increasing
    over time, but last in your peer group

55
Peering Whats Good
  • Its complex and somewhat confusing
  • You will likely look good in some areas, OK in
    others, and low in others
  • Its not very likely anyone will be high or low
    in all 6 metrics
  • It eliminated rankings.

56
The ARCC Report
  • Is almost 800 pages.
  • Comes out every March.
  • Takes 4 PYs to complete (about 6 months/yr)
  • Is generally regarded highly in CA academic and
    Legislative circles.
  • DOF and LAO and Sec. of Ed love it.
  • Local Trustees/Boards love it.

57
The ARCC Collaboration
  • Has brought the system more money
  • 33 mil in basic skills
  • Increased noncredit reimbursement rates by
    300/FTE
  • Has brought about trust between system and State
    stakeholders.
  • Has educated both sides tremendously.

58
No More Girlie-Man Accountability!
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