Overview
Introduction
Student Growth Percentiles
Student Growth Percentiles and Accountability
References
Student Growth Percentiles: An Overview
Damian W. Betebenner & Adam VanIWaarden
National Center for the Improvement of Educational Assessment
Dover, NH
Chestnut Hill, MA December 5th, 2023
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction
Student Growth Percentiles About me
Student Growth Percentiles and Accountability
References
About Me
Dr. Damian Betebenner, PhD
- Senior Associate at the Center for Assessment (NCIEA).
- Developed student growth percentiles and percentile growth
trajectories to help states and educational associations employ
student growth in decision making [Betebenner, 2008,
Betebenner, 2009, Betebenner, 2012].
- Currently refining and sharing these techniques with more than
25 states in the United States, testing companies (Renaissance
Learning), and other countries including Australia.
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction
Student Growth Percentiles About me
Student Growth Percentiles and Accountability
References
About Me
Dr. Damian Betebenner, PhD
- Educational Background: PhD in Education Measurement from
the University of Colorado, Boulder and a PhD in Mathematics
from the University of Wyoming.
- Began using R in 1999 to produce high quality graphics and it
has been seminal in expanding my work.
- I’m more of a "data scientist" than a statistician. SGPs are more
of a "data science" approach to examining student academic
growth than a "statistician" approach.
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction
Student Growth Percentiles About me
Student Growth Percentiles and Accountability
References
History
2004-2007 Assistant Professor Boston College,
ERME.
2012 Worked with 5 states on
2005-2007 Began development of the Colorado
co-developing SchoolView interactive
Growth Model (Student Growth
visualizations to help better
Percentiles).
communicate student growth
2008 Successful application of Colorado
percentile results.
Growth Model (criterion-referenced
2014 Built SIMEX measurement error
component) as part of growth model
correction into SGP
pilot program.
model [Shang et al., 2015]
2009-2010 Began/continued work with
2014 Extended analyses to accommodate
approximately two-dozen other states
time-dependency allowing for SGP
on developing state growth models.
modelling of interim assessments.
2010 Worked with states on incorporating
2017 Extended SGP package to better
growth into RttT applications and with
accommodate assessment
successful states on their use
transitions.
(Massachusetts, Georgia, New York,
2015-present Work with about 20 states in different
Rhode Island).
capacities to calculate SGPs.
2011 Worked with a number of states on
2020-2023 Utilized SGPs to examine academic
incorporating student growth
impact and recovery due to the
percentiles into the ESEA waiver
COVID-19 pandemic.
applications and teacher evaluation
systems.
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction
Student Growth Percentiles About me
Student Growth Percentiles and Accountability
References
About the growth model
The Student Growth Percentiles Methodology is a norm- and
criterion-referenced growth analysis method [Betebenner, 2009].
The norm-referenced component of the model is the student growth
percentile which indicates the relative growth a student makes.
The criterion-referenced component of the model is the student
growth percentile target which indicates the amount of growth
required by the student to reach/maintain desirable achievement
goals in a specified time frame. For example, catching-up to
proficiency within 3 years.
The norm- and criterion-referenced components together allow
stakeholders to understand what is, what should be, and what is
reasonable simultaneously.
The goal of the metric was to assist states to move beyond debates
over what thermometer is best to discussions of how best to use the
thermometer.
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction
Student Growth Percentiles About me
Student Growth Percentiles and Accountability
References
Built to maximize sharing
A number of analytic tools (for doing calculations) and visualization tools
have been developed with the goal to promote maximum sharing.
Data isn’t valuable! It’s what one does with data that is potentially
valuable!
The analytic tools to calculate all the quantities associated with
student growth percentiles are open source and freely available to
all states [Betebenner et al., 2023]. sgp.io
Conduct training sessions at national conferences to help others
calculate these quantities on their own.
Build enhanced visualization and reporting systems to make data
come alive to stakeholders, allow for stakeholder collaboration and
sharing, and lead to better stakeholder engagement with data.
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction
Different Models/Different Questions
Student Growth Percentiles
It’s all about conversations starting with questions
Student Growth Percentiles and Accountability
References
Guiding Questions
Growth models address specific questions
Different growth analysis techniques are good at answering
different questions.
It is critical to understand these different questions.
Different questions lead to different conversations which lead to
different uses and outcomes.
Changing conversations about education
Starting with the right questions simplifies development and
motivating the proper use of the growth model results.
The questions set the table for those conversations.
Yen (2007) for an excellent list of questions derived from a
survey of parent, teachers and administrators
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction
Different Models/Different Questions
Student Growth Percentiles
It’s all about conversations starting with questions
Student Growth Percentiles and Accountability
References
What are the relevant questions for parents?
Yen (2007), from a state survey of parents, teachers and administrators,
compiled a list of frequently voiced questions/concerns by stakeholder
group.
Parent Questions
Did my child make a year’s worth of progress in a year?
Is my child growing appropriately toward meeting state
standards?
Is my child growing as much in Math as Reading?
Did my child grow as much this year as last year?
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction
Different Models/Different Questions
Student Growth Percentiles
It’s all about conversations starting with questions
Student Growth Percentiles and Accountability
References
What are the relevant questions for teachers?
Yen (2007), from a state survey of parents, teachers and administrators,
compiled a list of frequently voiced questions/concerns by stakeholder
group.
Teacher Questions
Did my students make a year’s worth of progress in a year?
Did my students grow appropriately toward meeting state
standards?
How close are my students to becoming Proficient?
Are there students with unusually low growth who need special
attention?
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction
Different Models/Different Questions
Student Growth Percentiles
It’s all about conversations starting with questions
Student Growth Percentiles and Accountability
References
What are the relevant questions for administrators?
Yen (2007), from a state survey of parents, teachers and administrators,
compiled a list of frequently voiced questions/concerns by stakeholder
group.
Administrator Questions
Did the students in our district/school make a year’s worth of
progress in all content areas?
Are our students growing appropriately toward meeting state
standards?
Does this school/program show as much growth as that one?
Can I measure student growth even for students who do not
change proficiency categories?
Can I pool together results from different grades to draw
summary conclusions?
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction
Different Models/Different Questions
Student Growth Percentiles
It’s all about conversations starting with questions
Student Growth Percentiles and Accountability
References
What are the relevant questions for policy makers?
Policy Maker Questions
Can/how should student growth be used in judgments of
educator quality?
Can/how should student growth be used in judgments of
education (e.g., school) quality?
Are students on track for career and college readiness?
What adjustments for student demographics need to be
considered?
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction
Different Models/Different Questions
Student Growth Percentiles
It’s all about conversations starting with questions
Student Growth Percentiles and Accountability
References
Growth & Accountability
Growth versus Status
Enthusiasm for growth in accountability stems from the belief
that learning (i.e., growth) and teacher/school quality are more
closely related than status (i.e., attainment).
Enthusiasm for growth also stems from its potential diagnostic
uses.
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction
Different Models/Different Questions
Student Growth Percentiles
It’s all about conversations starting with questions
Student Growth Percentiles and Accountability
References
Growth & Accountability
Fundamental Premise
“Good” schools/teachers sustain learning (i.e., bring about growth in
student achievement) in excess of that found at “bad” schools/teach-
ers.
The inherent believability of this premise is at the heart of current
enthusiasm to incorporate growth models into accountability
systems.
Note that current accountability systems (from NCLB through ESSA)
invoke the same premise (with achievement substituted for growth).
“Good schools/teachers” are commonly referred to as highly
effective schools/teachers.
It is critical to understand the distinction between growth and
effectiveness.
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction
Different Models/Different Questions
Student Growth Percentiles
It’s all about conversations starting with questions
Student Growth Percentiles and Accountability
References
Value-Added & Growth
Who or what is responsible for student
Often, analyses of student growth attempt to determine the amount
of student progress/growth that can be attributed to the school or
teacher.
Called Value-added analyses, these techniques attempt to estimate
the teacher/school contribution to student achievement.
Value-added models quantify effectiveness—purporting to measure
the impact on achievement that this school or teacher would have,
on average, upon similar students assigned to them.
These models and their effectiveness claims are controversial for a
number of reasons (EPI (2010), NRC/NAE (2010), Braun (2005),
Rubin and Stuart (2004)).[Economic Policy Institute, 2010,
National Research Council and National Academy of Education, 2010,
Braun, 2005, Rubin et al., 2004]
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction
Different Models/Different Questions
Student Growth Percentiles
It’s all about conversations starting with questions
Student Growth Percentiles and Accountability
References
Value-Added & Growth
Who or what is responsible for student
Value-added models are better described as effectiveness models
than as growth models.
Value-added is an inference – a causal conclusion drawn from the
data.
Value-added isn’t a type of statistical model or type of assessment.
All growth models can be used for value-added purposes but not
vice-versa.
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction
Different Models/Different Questions
Student Growth Percentiles
It’s all about conversations starting with questions
Student Growth Percentiles and Accountability
References
Descriptive Accountability
Accountability system results can have value without making causal
inferences about school quality, solely from the results of student
achievement measures and demographic characteristics. Treating the
results as descriptive information and for identification of schools that
require more intensive investigation of organizational and instructional
process characteristics are potentially of considerable value. Rather than
using the results of the accountability system as the sole determiner of
sanctions for schools, they could be used to flag schools that need more
intensive investigation to reach sound conclusions about needed
improvements or judgments about quality [Linn, 2008, p. 21].
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction Describing Student Growth
Student Growth Percentiles Student Growth Percentiles
Student Growth Percentiles and Accountability Criterion Referenced Growth
References
Describing Student Growth
The concept of student growth isn’t as difficult to understand and
popular perception suggests.
Calculations may be complicated but knowing how to calculate
student growth is not synonymous with understanding student
growth:
Thenumber π (pi=3.14159...)is difficult to calculate but is simple to
understand conceptually.
Height and weight percentiles associated with children are difficult to
calculate but are simple to understand conceptually.
Computational details are important but often obscure a simple
conceptual basis.
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction Describing Student Growth
Student Growth Percentiles Student Growth Percentiles
Student Growth Percentiles and Accountability Criterion Referenced Growth
References
Describing Student Growth
Measuring student growth, even with a vertical scale, is not a simple
task.
Some believe a vertical scale simplifies 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.
The 4 inch increase becomes really meaningful only when understood
alongside the growth of other 3 to 4 year olds.
Student growth percentiles were developed to provide a normative
context for describing student growth.
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction Describing Student Growth
Student Growth Percentiles Student Growth Percentiles
Student Growth Percentiles and Accountability Criterion Referenced Growth
References
The Illusion of Vertical Scales
Personal Bests in 2022 and 2023 for Two High Jumpers
World Record: 6 feet, 10 1/4 inches
Whose high jump changed
more? Explain your answer. 7 6 feet, 9 inches
Judy
6 feet, 7 inches
Height (feet)
Whose high jump change is 6
more remarkable? Explain your 5
answer. 4
4 feet, 0 inches
Anna
Which high jumper improved 3
3 feet, 6 inches
more? Explain your answer. Spring 2022 Spring 2023
Track Season
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
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Overview
Introduction Describing Student Growth
Student Growth Percentiles Student Growth Percentiles
Student Growth Percentiles and Accountability Criterion Referenced Growth
References
Student Growth Percentiles
Should we be surprised with a child’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 ).
As such, growth percentiles describe the rarity of a student’s current
achievement conditional upon their prior achievement.
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction Describing Student Growth
Student Growth Percentiles Student Growth Percentiles
Student Growth Percentiles and Accountability Criterion Referenced Growth
References
Student Growth Percentiles
Should we be surprised with a child’s current achievement given their
prior achievement?
Student growth percentiles answer 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 about the adequacy of student growth require external
criteria.
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction Describing Student Growth
Student Growth Percentiles Student Growth Percentiles
Student Growth Percentiles and Accountability Criterion Referenced Growth
References
Model for Student Growth Percentiles
Student growth percentiles are calculated using quantile regression
with B-spline smoothing, a generalized additive model.
Quantile regression is used to model the complete distribution of the
response variable (current achievement)
B-spline smoothing is uses to accommodate non-linearity and
heteroscedasticity of the data.
The model/method is descriptive and all about data fit—it’s a data
mining procedure.
The model quantifies distance = rate · time probabilistically.
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction Describing Student Growth
Student Growth Percentiles Student Growth Percentiles
Student Growth Percentiles and Accountability Criterion Referenced Growth
References
Model for Student Growth Percentiles
Conditional Decile Regression Curves Conditional Decile Regression Lines
2006−07 Math: Grade 5 versus 6 2006−07 Math: Grade 5 versus 6
1000 Unsatisfactory Partially Prof. 1000 Unsatisfactory Partially Prof.
Proficient Proficient
Partially Prof. Proficient Advanced Partially Prof. Proficient Advanced
Grade 6 Scale Score Grade 6 Scale Score
Grade 5 Scale Score Grade 5 Scale Score
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Overview
Introduction Describing Student Growth
Student Growth Percentiles Student Growth Percentiles
Student Growth Percentiles and Accountability Criterion Referenced Growth
References
Establishing growth-standards based upon growth-norms
The most common adequacy criterion are judging growth toward an
achievement goal like proficiency, English Language master (i.e.,
growth-to-standard).
Results from student growth percentile analyses can be used to
calculate percentile growth trajectories for each student.
These trajectories indicate what future rates of growth will lead to
and are used to make adequacy judgments.
This growth-to-standard approach was approved as part of
Colorado’s successful application to the Growth Model Pilot
Program.
Growth-to-standard is most often used for English Language
Proficiency testing (e.g., WIDA-ACCESS in Massachusetts)
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
Devyn Mendoza Sample School
How to interpret this student
growth & achievement report Mathematics
Advanced Achievement
DEMO Catch Up
Target
DEMO Mathematics
Catch Up Scale Score
Scale Score Target
Growth
Proficient Level Percentiles
DEMO Very High 81st − 99th
Achievement Part Proficient
High 61st − 80th
Levels Typical 40th − 60th
Low 20th − 39th
Unsatisfactory Very Low 1st − 19th
Student
Grade 5 Grade 6 Grade 7 Grade 8 Grade 9
Growth 2018−2019 2019−2020 2020−2021 2021−2022 2022−2023
Percentile Scale Score 493 538 519 570
Achievement Level
Achievement Target
Part Proficient Proficient Part Proficient
Proficient (577)
Part Proficient
Proficient (599)
Achievement
Growth Percentile 82 15 71
Catch Up/Keep Up Growth Level Very High Very Low High
Growth
Growth Target Catch Up (83) Catch Up (96)
Move Up/Stay Up
Targets
Suggested Uses
Advanced Reading
Move Up Achievement
Target
DEMO Reading
Scale Score
Review past growth to assess
student academic progress toward Keep Up Growth
Proficient Catch Up
DEMO achievement goals. Target Target
Level Percentiles
Develop remediation or enrich− Very High 81st − 99th
ment plans based on rate of
High 61st − 80th
growth needed to reach higher Part Proficient Typical 40th − 60th
DEMO achievement levels.
Low 20th − 39th
Identify the rate of progress
needed in order to reach or Unsatisfactory Very Low 1st − 19th
maintain proficient status
Grade 5 Grade 6 Grade 7 Grade 8 Grade 9
on the DEMO next year. 2018−2019 2019−2020 2020−2021 2021−2022 2022−2023
Scale Score 653 631 617 649
Achievement Level
Achievement Target
Proficient Proficient Part Proficient
Proficient (632)
Proficient
Proficient (642)/Advanced (691)
Achievement
Growth Percentile 27 10 56
Growth Level
Growth Target
Low Very Low Typical
Catch Up (29) Keep Up (25)/Move Up (99)
Growth
For more information please visit the Student Growth Percentiles Package (the SGP Package) at www.sgp.io or contact dbetebenner@nciea.org
Cooperatively developed by the SGP Package & the Center for Assessment, Inc. Distributed by the SGP Package.
Demonstration: 2022−2023 Mathematics
Norm & Criterion Referenced Growth & Achievement
College Ready
Percentile Growth Trajectory to College Readiness
Scale Score
2022−2023 Achievement Percentile
Not College Ready
SGP trajectories for a 3rd grade student starting from the Level 1/Level 2 cut.
Grade 3 Grade 4 Grade 5 Grade 6 Grade 7 Grade 8 Grade 9 Grade 10
Overview
Introduction
Student Growth Percentiles School Accountability
Student Growth Percentiles and Accountability
References
Going from Students to Schools
It’s of interest to examine schools where students demonstrate, on
average, extraordinarily high and low student growth.
To summarize the student growth percentiles associated with a
school (or other grouping) calculate the median of the student
growth percentiles.
If students were randomly assigned to schools, expect to see a
median of 50.
Values greatly above or below 50 are of interest in identifying best
practices or providing extra support.
Examining growth with achievement sheds new light on school
performance.
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
DEMONSTRATION School Performance
DEMO Growth & Prior Achievement 2022−2023 DEMO Mathematics
2021−2022 Prior Percent at/above Proficient
Higher Achievement Higher Achievement School Size
Lower Growth Higher Growth 50 Students
100 Students
250 Students
500 Students
Achievement
Lower Growth Higher Growth Summary Statistics
Correlation: 0.43
Lower Achievement Lower Achievement Correlation (N ≥ 10): 0.43
Growth 2022−2023 Median Student Growth Percentile
DEMONSTRATION School Performance
DEMO Growth & Prior Achievement 2022−2023 DEMO Reading
2021−2022 Prior Percent at/above Proficient
Higher Achievement Higher Achievement School Size
Lower Growth Higher Growth 50 Students
100 Students
250 Students
500 Students
Achievement
Lower Growth Higher Growth Summary Statistics
Correlation: 0.39
Lower Achievement Lower Achievement Correlation (N ≥ 22): 0.39
Growth 2022−2023 Median Student Growth Percentile
DEMONSTRATION School Performance
DEMO Growth & Achievement 2022−2023 DEMO Mathematics
Higher Achievement Higher Achievement School Size
2022−2023 Percent at/above Proficient
Lower Growth Higher Growth 50 Students
100 Students
250 Students
500 Students
Achievement
Lower Growth Higher Growth Summary Statistics
Correlation: 0.55
Lower Achievement Lower Achievement Correlation (N ≥ 10): 0.55
Growth 2022−2023 Median Student Growth Percentile
DEMONSTRATION School Performance
DEMO Growth & Achievement 2022−2023 DEMO Reading
Higher Achievement Higher Achievement School Size
2022−2023 Percent at/above Proficient
Lower Growth Higher Growth 50 Students
100 Students
250 Students
500 Students
Achievement
Lower Growth Higher Growth Summary Statistics
Correlation: 0.52
Lower Achievement Lower Achievement Correlation (N ≥ 22): 0.52
Growth 2022−2023 Median Student Growth Percentile
Overview
Introduction
Student Growth Percentiles
Student Growth Percentiles and Accountability
References
References
Betebenner, D. W. (2008).
Toward a normative understanding of student growth.
In Ryan, K. E. and Shepard, L. A., editors, The Future of Test-Based
Educational Accountability, pages 155–170. Taylor & Francis, New
York.
Betebenner, D. W. (2009).
Norm- and criterion-referenced student growth.
Educational Measurement: Issues and Practice, 28(4):42–51.
Betebenner, D. W. (2012).
Growth, standards, and accountability.
In Cizek, G., editor, Setting Performance Standards: Foundations,
Methods, and Innovations, pages 439–450. Routledge, New York.
Betebenner, D. W., Iwaarden, A. V., Domingue, B., and Shang, Y.
SGP: Student growth percentiles & percentile growth trajectories.
Available online complete with source code from https://sgp.io.
Braun, H. I. (2005).
Using student progress to evaluate teachers: A primer on
value-added models.
Technical report, Educational Testing Service, Princeton, New
Jersey.
Economic Policy Institute (2010).
Problems with the use of student test scores to evaluate teachers.
Technical report, Washington, D.C.
Downloaded August 30th, 2010 from
http://epi.3cdn.net/724cd9a1eb91c40ff0_hwm6iij90.pdf.
Edley, C. (2006).
Educational “Opportunity" is the highest civil rights priority. So what
should researchers and lawyers do about it?
Retrieved June 22, 2006 from the World Wide Web:
http://www.softconference.com/MEDIA/WMP/260407/#43.010.
Linn, R. L. (2008).
Educational accountability systems.
In The Future of Test-Based Educational Accountability, pages 3–24.
Taylor & Francis, New York.
National Research Council and National Academy of Education
Getting value of out value-added: Report of a workshop.
Technical report, Washington, D.C.
Commitee on Value-Added Methodology for Instructional
Improvement.
Rubin, D. B., Stuart, E. A., and Zanutto, E. L. (2004).
A potential outcomes view of value-added assessment in education.
Journal of Educational and Behavioral Statistics, 29(1):103–116.
Shang, Y., VanIwaarden, A., and Betebenner, D. W. (2015).
Covariate measurement error correction for student growth
percentiles using the simex method.
Educational Measurement: Issues and Practice, 34(1):4–14.
Yen, W. M. (2007).
Vertical scaling and No Child Left Behind.
In Dorans, N. J., Pommerich, M., and Holland, P. W., editors, Linking
and Aligning Scores and Scales, pages 273–283. Springer, New
York.
Damian W. Betebenner & Adam VanIwaarden Student Growth Percentiles: An Overview
About this copy
Student Growth Percentiles: An Overview — BC Russell, December 5, 2023.
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