Using State Measures of Student Growth to Inform Local Practice

CCSSO · June 2009

Using State Measures of Student Growth to Inform Local Practice — CCSSO, June 2009.
Published

June 22, 2009

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Conference
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  1. Growth Data Informing Local Practice Using State Measures of Student Growth to Inform Local Practice Damian W. Betebenner National Center for the Improvement of Educational Assessment Dover, NH CCSSO Conference on Student Assessment Los Angeles, CA — June 22nd, 2009 Damian W. Betebenner Growth Data Informing Local Practice
  2. Overview The Presenters & Discussant Growth Data Informing Local Practice Questions Student Growth Percentiles Turning Data into Actionable Information Implementation of a growth model comprises many steps. The easiest part is doing the growth analyses. The hardest part is developing a good data use practices amongst local educators. Today’s presenters are working at different levels to promote growth data use locally by educators. Interestingly, all of today’s presenters, are developing growth data use (for the time being) outside of formal accountability mandates. Damian W. Betebenner Growth Data Informing Local Practice
  3. Overview The Presenters & Discussant Growth Data Informing Local Practice Questions Student Growth Percentiles The Presenters & Discussant Presenters: Robert Lee Massachusetts Department of Elementary and Secondary Education Jonathan Dings Boulder Valley School District Rebecca Gau Arizona Charter Schools Association Jody Ernst Colorado League of Charter Schools Discussant: Karin Hess Center for Assessment Damian W. Betebenner Growth Data Informing Local Practice
  4. Overview The Presenters & Discussant Growth Data Informing Local Practice Questions Student Growth Percentiles Framing Questions 1 Accountability systems often dictate uses. How might accountability systems be crafted to take advantage of lessons learned in promoting growth data use? 2 In what ways does the promotion of growth data use (and, perhaps, data use in general) differ by context/entity: State versus District versus School? 3 How should these different contexts/entities coordinate efforts to promote good (growth) data use? Damian W. Betebenner Growth Data Informing Local Practice
  5. Overview The Presenters & Discussant Growth Data Informing Local Practice Questions Student Growth Percentiles Student Growth Percentiles Normative Growth Question Should we be surprised with a student’s current achievement given their prior achievement? Given a student’s prior scale scores and the associated conditional density, their current scale score corresponds to a percentile of that conditional distribution. This percentile is the student’s growth percentile. Growth percentiles are closely related to estimating the probability of observing a student’s current achievement taking account of their past achievement: Pr(Current Achievement |Past Achievement ). Growth percentiles describe the rarity of a student’s current achievement conditional upon their prior achievement. Damian W. Betebenner Growth Data Informing Local Practice
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  10. Overview The Presenters & Discussant Growth Data Informing Local Practice Questions Student Growth Percentiles Student Growth Percentiles Normative Growth Question Should we be surprised with a student’s current achievement given their prior achievement? Student growth percentiles address this question. Consider a low achieving student with 90th percentile growth and a high achieving student with 10th percentile growth. The low achieving student grew at a rate exceeding 90 percent of similar students. The high achieving student grew at a rate exceeding just 10 percent of similar students. The low achiever’s growth is more exemplary (probabilistically) than the high achiever’s. Judgments of adequacy require additional criteria. Percentile growth projections/trajectories are used to judge the adequacy of student growth to meet established achievement goals within designated time frames. Damian W. Betebenner Growth Data Informing Local Practice