bg=White Growth, Status, and Accountability
Normative Student Growth
Descriptive/Prescriptive Growth
References
Norm- and Criterion-Referenced Student Growth
Damian W. Betebenner
National Center for the Improvement of Educational Assessment
Dover, NH
NCME 2008 Annual Meeting
March 26th, 2008
D. W. Betebenner Norm- and Criterion-Referenced Student Growth
bg=White Growth, Status, and Accountability
Normative Student Growth Growth and Accountability Models
Descriptive/Prescriptive Growth Growth & Status Models
References
Growth & Accountability
Bob’s Axiom
Scratch a criterion and you (should) find a norm.
Accountability mandates—like NCLB’s “bright line” (i.e., universal
proficiency) requirements—dominate discussions of assessment
outcomes.
In these discussions, it is important distinguish between the judgments
made by the accountability system and the quantities on which the
judgment is based.
With the analysis of growth, it is important to distinguish between a
description of growth provided by the model and the qualification of
that value as (in)adequate by the accountability system.
Growth-to-standard methodologies qualify, for accountability purposes,
whether a student is on track to proficient and use this qualification as
evidence of school quality.
These criterion referenced growth models define adequate growth
without establishing a norm and thus are in violation of Bob’s Axiom.
D. W. Betebenner Norm- and Criterion-Referenced Student Growth
bg=White Growth, Status, and Accountability
Normative Student Growth Growth and Accountability Models
Descriptive/Prescriptive Growth Growth & Status Models
References
Growth & Status
Unconditional Projected Conditional
Achievement Achievement Achievement
Status Growth
Current growth-to-standard methodologies judge individual student
progress based upon projections of future student achievement.
In this sense, growth-to-standard models are projected achievement
models.
Given the representational continuum connecting status with growth,
growth-to-standard models are hybrids, neither growth nor status.
Not surprisingly, results derived from their use correlate highly with
results derived from existing status models [Dunn, 2007].
D. W. Betebenner Norm- and Criterion-Referenced Student Growth
bg=White Growth, Status, and Accountability
Student Growth Percentiles
Normative Student Growth
Describing Actual Student Growth
Descriptive/Prescriptive Growth
Exploring the Range of Aspirational Outcomes
References
Actual versus Aspirational Student Growth
Conditional achievement (i.e., growth) models can serve the same
ends as projected achievement/growth-to-standard models.
Doing so requires distinguishing actual growth from aspirational
growth.
Actual What is a current year’s growth?
Aspirational What should a current year’s growth be?
Answering the second question establishes a threshold
distinguishing adequate from inadequate growth.
To make such a distinction requires an answer to the first question
which defines a norm: What is the range of growth currently
observed?
Aspirational growth should be possible—Ought implies Can (Kant)
or Linn’s existence proof [Linn, 2003].
D. W. Betebenner Norm- and Criterion-Referenced Student Growth
bg=White Growth, Status, and Accountability
Student Growth Percentiles
Normative Student Growth
Describing Actual Student Growth
Descriptive/Prescriptive Growth
Exploring the Range of Aspirational Outcomes
References
Describing Actual Student Growth
Measuring student growth, even with a vertical scale, is not a simple
task.
Numerous states believe that placing their tests on a vertical scale
will simplify the task of measuring student growth.
Even with an interval (or ratio) scale, growth is not easy to interpret.
Consider, for example, height.
A child might grow 4 inches between ages 3 and 4.
4 inches is a well understood quantity.
However, the 4 inch increase becomes fully understandable only when
placed in context of growth of other children between ages 3 and 4.
The following introduces student growth percentiles as a normative
quantity useful to interpreting student growth.
D. W. Betebenner Norm- and Criterion-Referenced Student Growth
bg=White Growth, Status, and Accountability
Student Growth Percentiles
Normative Student Growth
Describing Actual Student Growth
Descriptive/Prescriptive Growth
Exploring the Range of Aspirational Outcomes
References
Student Growth Percentiles
A quantity of fundamental interest to norming student progress (i.e.,
conditional achievement) is:
Pr(Current Achievement |Past Achievement ). (1)
A student’s growth percentile is the conversion of 1 to a percentile.
Estimation of the conditional density used to calculate student growth
percentiles is performed using quantile regression (Betebenner &
Shang, 2007; Koenker, 2005).
Consider a low achieving student demonstrating 90th percentile
growth and a high achieving student demonstrating 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.
In this sense, the low achiever’s growth is more exemplary than the high
achiever’s.
Growth percentiles allow for easy understanding and comparison of
student growth.
However, judgment of whether the student’s growth was adequate
requires external criteria.
D. W. Betebenner Norm- and Criterion-Referenced Student Growth
bg=White Growth, Status, and Accountability
Student Growth Percentiles
Normative Student Growth
Describing Actual Student Growth
Descriptive/Prescriptive Growth
Exploring the Range of Aspirational Outcomes
References
Performance Standards and Growth Percentiles
Performance standards are the most obvious external criteria
needed to define what adequate growth is.
If proficiency within 3 years is the achievement goal, then one can
examine prior growth to estimate what growth percentile is sufficient
to reach the desired outcome.
For high achieving students, modest growth percentiles are required
to maintain their position above proficiency whereas for some low
achieving student sustained high growth percentiles are necessary.
The process of defining (in)adequate growth is a standard setting
procedure.
Clearly, defining adequate growth for some students as 80th
percentile or better sets a very high standard.
And defining a year’s growth for some students as 25th percentile or
better sets a low standard.
Growth standards should be equitable, reasonable, and desirable.
D. W. Betebenner Norm- and Criterion-Referenced Student Growth
bg=White Growth, Status, and Accountability
Normative Student Growth
Achievement Projections/Forecasts
Descriptive/Prescriptive Growth
References
Achievement Projections/Forecasts
Growth-to-standard analyses project future student achievement
and use these determinations for accountability purposes.
Such projections implicitly assume (but rarely explicate) interim rates
of growth for the student.
The result of growth-to-standard analyses are almost fatalistic
statements about the future status of students.
Such conversations often leave teachers/educators wondering what
their role is if the student’s future status is known.
Conversations about future status must turn from “where will (s)he
be” to “what will it take”.
Using student growth percentile estimation techniques it is possible
to forecast different growth scenarios that allow stakeholders to
entertain conversations of “what it will take”.
These forecasts establish a basis for growth standard setting.
Only by considering what is, what should be, and what is possible
simultaneously, can growth models and their associated standards
by equitable, just and truly informed.
D. W. Betebenner Norm- and Criterion-Referenced Student Growth
Math Growth Percentile Trajectories
Growth Trajectories for 25th, 40th, 50th, 60th, 75th, & 90th Percentiles
2007 Achievement Percentile Growth Percentile (Consecutive)
Scale Score
Grade
Math Growth Percentile Trajectories
Growth Trajectories for 25th, 40th, 50th, 60th, 75th, & 90th Percentiles
2007 Achievement Percentile Growth Percentile (Consecutive)
Scale Score
Grade
Math Growth Percentile Trajectories 90
Growth Trajectories for 25th, 40th, 50th, 60th, 75th, & 90th Percentiles
2007 Achievement Percentile Growth Percentile (Consecutive)
Scale Score
Grade
Reading Growth Percentile Trajectories
Growth Trajectories for 10th, 25th, 40th, 50th, 60th, 75th, & 90th Percentiles
Growth Percentile (Consecutive)
2007 Achievement Percentile
Scale Score
Grade
Reading Growth Percentile Trajectories
Growth Trajectories for 10th, 25th, 40th, 50th, 60th, 75th, & 90th Percentiles
Growth Percentile (Consecutive)
2007 Achievement Percentile
Scale Score
Grade
Reading Growth Percentile Trajectories
Growth Trajectories for 10th, 25th, 40th, 50th, 60th, 75th, & 90th Percentiles90
Growth Percentile (Consecutive)
2007 Achievement Percentile
Scale Score
Grade
Writing Growth Percentile Trajectories
Growth Trajectories for 10th, 25th, 40th, 50th, 60th, 75th, & 90th Percentiles
2007 Achievement Percentile Growth Percentile (Consecutive)
Scale Score
Grade
Writing Growth Percentile Trajectories
Growth Trajectories for 10th, 25th, 40th, 50th, 60th, 75th, & 90th Percentiles
2007 Achievement Percentile Growth Percentile (Consecutive)
Scale Score
Grade
Writing Growth Percentile Trajectories
Growth Trajectories for 10th, 25th, 40th, 50th, 60th, 75th, & 90th Percentiles
2007 Achievement Percentile Growth Percentile (Consecutive)
Scale Score
Grade
bg=White Growth, Status, and Accountability
Normative Student Growth
Descriptive/Prescriptive Growth
References
References
Betebenner, D. W. and Shang, Y. (2007).
Reference growth charts for educational outcomes.
Paper presented at the 2007 AERA Annual Conference, Chicago, IL.
Retrieved May 12th, 2007 from
http://monticello.bc.edu/Betebenner.
Dunn, J. (2007).
When does a “growth model" act the same as a "status model":
Lessons learned from some empirical growth model comparisons.
Paper presented at the Systems and Reporting SCASS, September
25, 2007, Nashua, NH.
Koenker, R. (2005).
Quantile Regression.
Cambridge University Press, Cambridge.
Linn, R. L. (2003).
Accountability: Responsibility and reasonable expectations.
Technical report, Center for the Study of Evaluation, CRESST, Los
Angeles, CA.
D. W. Betebenner Norm- and Criterion-Referenced Student Growth
About this copy
Norm- and Criterion-Referenced Student Growth — NCME Annual Meeting, March 2008.
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