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Performance Accountability System: Key Considerations for Accountability System Design

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... on state tests administered pursuant to RSA 193-C and, upon the prior approval ... Decision is made to value ELA and Mathematics over science and writing ... – PowerPoint PPT presentation

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Title: Performance Accountability System: Key Considerations for Accountability System Design


1
Performance Accountability System Key
Considerations for Accountability System Design
  • Scott Marion
  • Center for Assessment
  • August 25, 2009

2
Perie, Park, Klau (CCSSO, 2007)
  • Seven core design principles
  • Goals
  • Performance Indicators
  • Design Decisions
  • Consequences
  • Communication
  • Support
  • System Evaluation, Monitoring, and Support

3
GoalsWhat are we trying to do?
  • It is critical to be explicit about the goals and
    purposes of the accountability system as well as
    the uses of the results
  • These decisions will serve as touchstones during
    subsequent design decisions
  • Thinking about the mechanisms for how the goals,
    purposes, and uses will be fulfilled is also very
    important.

4
Reports
  • Reports make the assessment results
    actionableteachers and leaders do not have time
    to do in-depth analyses, therefore the reports
    must lead to valid decisions
  • Designing the reports up front is a useful way to
    help think about accountability system design

5
Outcomes/Consequences
  • How will results be used (e.g. public reporting,
    rewards) to create incentives for intended
    behavior?
  • How can we avoid unintended outcomes?
  • We need to be clear about the manner in which the
    results will be used.
  • We are limited in this regard by the constraints
    in SB180

6
Utility
  • We argue that utility is one of the most
    important considerations in accountability
    designs
  • In other words, how will the system be designed
    so that it can most effectively fulfill its
    intended purposes?

7
Tradeoffs
  • Like the old saying, there is no free lunch
    accountability system designers attempt to find
    the perfect balance point among multiple
    constraints, pressures, and goals because we can
    rarely (if ever) get exactly what we want
  • We highlight just a few here because we think
    they are especially applicable to this work

8
Simplicity-Validity
  • It has been said that for every complex problem,
    there is a simple solutionexcept it is wrong!
  • We want to search for the simplest and most
    elegant solution possible, but the most simple is
    often not the most fair
  • Often the most fair can be very complex, which
    makes it tough to understand and communicate
  • We need to find the balance

9
Rich DataData Burden
  • Many have justifiably complained that systems
    such as NCLB focused too much on once/year test
    data in two subject areas
  • We want rich pictures of school quality, but we
    do not want to burden school personnel into
    becoming our full-time data collectors
  • We also want data that we can trust
  • Again, the search for balance!

10
The NH Performance Accountability System
11
SB 180 Task Force must
  • (a) Define the performance-based accountability
    system to be used by schools that will ensure
    that the opportunity for an adequate education is
    maintained.
  • (b) Identify performance criteria and
    measurements.
  • (c) Establish performance goals and the relative
    weights assigned to those goals.
  • (d) Establish the basis, taking into account the
    totality of the performance measurements, for
    determining whether the opportunity for an
    adequate education exists, which may include the
    assignment of a value for performance on each
    measurement.
  • (e) Ensure the integrity, accuracy, and validity
    of the performance methodology as a means of
    establishing that a school provided the
    opportunity for an adequate education as defined
    in RSA 193-E2-a.

12
SB 180 Requirements
  • The task force shall develop a performance-based
    scoring system using only the best available data
    and indicators which are already provided to the
    department and/or performance measures that
    schools are already required to provide the
    department under other state or federal law.

13
system may consider one or more of the
following data and indicators
  • (a) Performance on state tests administered
    pursuant to RSA 193-C and, upon the prior
    approval of the department, other assessments
    administered at local option that are consistent
    with the states curriculum standards.
  • (b) Number and percentage of pupils participating
    in an advanced placement course.
  • (c) Number and percentage of graduating pupils
    going on to post-secondary education and military
    service.
  • (d) Attendance rates
  • More.

14
Potential indicators (continued)
  • (e) Annual cumulative drop-out rates of high
    school pupils.
  • (f) School environment indicators, such as safe
    schools data.
  • (g) Expulsion and suspension rates, including
    in-school and out-of-school suspensions, which
    shall be reported for each school year.
  • (h) Number and percentage of classes taught by
    highly qualified teachers.
  • (i) Teacher and administrative turnover rates at
    the school and district levels.

15
Goals of the Performance System
  • Provide another opportunity for schools to
    demonstrate adequacy
  • Collect and report data to assist educators in
    improving student achievement
  • Identify desirable educational practices and
    outcomes to
  • Facilitate public reporting of school
    effectiveness to education stakeholders

16
Performance Indicators
  • Inclusion Are students participating in the
    system?
  • Achievement Are students learning and growing?
  • Readiness Are students prepared for success in
    secondary and post-secondary?
  • Development Are schools implementing effective
    practices to promote student achievement?

17
Performance Indicators Inclusion
  • Participation number of test takers divided by
    enrollment.
  • Attendance number of FAY students in all grades
    for that school with fewer than 15 absences for
    the full school year divided by the total number
    of students in all grades for that school
    enrolled for a full academic year.

18
Performance Indicators Achievement
  • NECAP Status Percent proficient, mean scale
    score
  • Reading/ELA
  • Writing
  • Math
  • Science?
  • NECAP Growth FTC growth metric, student growth
    percentiles, other?
  • Other local assessment options?

19
Performance Indicators Readiness
  • Postsecondary attendance
  • Graduation rate
  • Dropout rate
  • Other
  • AP courses and performance
  • Concurrent enrollment
  • SAT, PSAT, ACT, Plan,

20
Performance Indicators Development
  • Based on the idea that assessment data alone
    (outputs) are not sufficient to gauge the quality
    of the school or the effectiveness of the pilot.
  • Rather, a number of specific actions and
    interventions (inputs) must take place to support
    a process that improves student achievement and
    promote the theory of action.

21
Performance Indicators Development
  • Highly qualified teachers
  • Advanced degrees, etc
  • Teacher/leader turnover rates
  • School environment indicators
  • School climate
  • Safe and drug-free schools
  • Expulsion/suspension rates
  • We do not assume that one size fits all for
    each school. One alternative may be for schools
    to pick from menu of selections

22
Performance Indicators Development
  • Two primary challenges
  • Collecting the data
  • Evaluating the data
  • Important to minimize burden to state department
    and local systems.
  • Solution must be efficient and scalable

23
Design Decisions
  • What is the unit of analysis and/or
    accountability?
  • Student
  • Class
  • Subgroup
  • School
  • District

24
Design Decisions
  • What measure will be reported?
  • Attainment of target score
  • Scale score
  • Domain score
  • Norm-referenced score (e.g. percentile)

25
Design Decisions
  • How should the measures be reported?
  • Status performance reported at one point in time
    (e.g. percent proficient)
  • Improvement performance reported over time for
    different students on the same measure (e.g.
    grade 3 performance in 2008 and grade 3
    performance in 2009)
  • Growth evaluating change over time for the same
    student or cohort (e.g. change in percent
    proficient from grade 3 to grade 4)
  • To whom should the reports be targeted?
  • Differences in reports by stakeholder position
    (e.g., parents, teachers, leaders)?

26
Design Decisions
  • What is good enough performance?
  • What level of performance on each assessment
    should be regarded as meeting standard?
  • What percent of students should meet target
    standard?
  • How much improvement or growth should be
    expected?
  • How do decisions impact different types of
    schools (e.g. high status/low growth vs. low
    status/ high growth)

27
Design Decisions
  • How can multiple indicators be combined?
  • Conjunctive schools must meet standard on all
    indicators
  • Disjunctive schools must meet standard on any
    one element (not likely to meet SB 180)
  • Compensatory system/ Index High performance in
    one area can offset lower performance in another
  • Profile system Categories of acceptable outcomes
    are identified, where a value in one area may
    influence another

28
Index Example
  • Four assessments in the model ELA, mathematics,
    science, and writing
  • Decision is made to value ELA and Mathematics
    over science and writing
  • Structured such that attaining mean index score
    of 100 meets expectations
  • Lower performance in one area can be offset in
    another

29
Profile Example
  • Four assessments in the model ELA, mathematics,
    science, and writing
  • Three possible outcomes that are deemed
    acceptable are presented
  • Model values mathematics and ELA performance no
    profile is acceptable without at least meeting
    standards in these areas
  • Writing performance can be below standard if ELA
    exceeds standard
  • Science can be below standard if math exceeds

30
Questions for the group
  • What do we value and what would we like to
    measure other than the SB 180 elements?
  • Which of these elements do we currently collect?
  • In what form are the data (quantitative/qualitativ
    e)?
  • Are the data trustworthy/reliable?
  • Would the data be easily corruptible if
    included in accountability?
  • For the elements that we do not collect yet, what
    would it take to collect the data?
  • How do we envision the relationship between the
    input and performance system, i.e., can we offer
    an acceptable alternative to what is in SB180?
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