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A-F School Grades. July 25, 2012. Better Accountability for Schools. What’s New?. Key Changes in School Grading Calculation changes mandated by the federal government in New Mexico’s NCLB waiver. Bonus points. - PowerPoint PPT Presentation
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A-F School Grades
July 25, 2012
Better Accountability for Schools
0
100
200
300
400
500
600
700
800
900
AYP Schools Failing in 2012 (Approx.)AYP Schools Failing in 2011Schools Graded F in2012
69 (8.3%)
715 (87%)
811 (97.6%)
What’s New?
• Key Changes in School Grading– Calculation changes mandated by the federal
government in New Mexico’s NCLB waiver.
– Bonus points.
– Inaugural Opportunity to Learn (OTL) survey completed by over 194,000 New Mexico students.
Validity of School Grade Results
• Do school grades meaningfully distinguish among schools? Yes.
• Grades made up of a composite of several components – the following charts demonstrate that grades do, in fact, differentiate schools well.
• Schools consistently perform well or poorly across all the components of the grade.
F D C B A0
10
20
30
40
50
60
70
80
Percent Proficient and Above by School Grade:Elementary and Middle Schools
Percent Proficient and Above, mathPercent Proficient and Above, reading
Perc
ent
F D C B A0
10
20
30
40
50
60
70
Percent Proficient and Above by School Grade:High School
Percent Proficient and Above, mathPercent Proficient and Above, reading
Perc
ent
F D C B A-2.00
-1.50
-1.00
-0.50
0.00
0.50
1.00
1.50
2.00
2.50
Relationship between Student Growth and School Grades
Top 3 quarters of students MathTop 3 quarters of students Read-ingBottom Quarter of Students MathBottom Quarter of Students Reading
Overall Final 2012 School Grade
Grow
th p
er Y
ear (
scal
e sc
ore
poin
ts)
F D C B A0
10
20
30
40
50
60
70
80
90
Graduation Rates by School Grades
Graduation Rate
Perc
ent
F D C B A0
10
20
30
40
50
60
70
80
90
College and Career Readiness by School Grade
Particpation RateSuccess Rate
Perc
ent
Student Performance and School Grades
• AYP forced focus on percent proficient and above.
• School grades includes a component of percent proficient and above, but school grades also include growth.
• Initial reaction to a grade is to look at percent proficient and above, but this is not the sole basis for a grade – percent proficient and above does not tell the whole story.
Decomposing Performance
• Several components of school grades depend upon student SBA results.
• It is important to consider underlying student performance for each year used in grades.– Correlation between Performance level and Scale Score
= 0.91. – Correlation between Scale Score from year to year =
0.77.– How much does prior performance "explain" current
year? 59.3% .
Decomposing Performance
• Previous slide indicated that:– Performance levels and scale scores are not
perfectly related; that is, they always don’t tell the exact same story.
– Student performance changes from year to year. In fact, a student’s prior score explains about 59% of the variability in current scores.
– This means student performance changes – and school grades are designed to pick up those changes.
Decomposing PerformanceChange in Performance (math)
Change PL SS
Decrease 16.8% 46.6%
No Change 66.0% 7.6%
Increase 17.3% 45.8%
The table on the right indicates that students change performance levels (PL) from year to year.
In fact of those that change, half move up and half move down.
Scale scores exhibit the same pattern, except because scale scores provide a more nuanced picture of performance there is more change.
Decomposing PerformanceChange in Performance (math)
Change PL SS
Decrease 16.8 46.6
No Change 66.0 7.6
Increase 17.3 45.8
Comparison of PL and SS changes (one year)
Change in SSDecrease No Change Increase Total No/Yes
Change
in PL
Decrease 19,271 182 60 19,513
No Change 34,572 8,309 33,907 76,788 89%Increase 443 300 19,354 20,097
Total 54,286 8,791 53,321 116,398
The table below indicates that even among the students that stay at the same performance level, 89% them change scale scores – half up and half down.
About 86% of schools stayed within one grade.
School Grade Examples
• The following few slides provide to examples of how school grades work.
School Grades: Example
Elementary2012
Baseline Grade DPreliminary GradeGrade points 43.0Current Standing 19.5
Proficient & Above, math 44
Proficient & Above, reading 48
Average scale score, math 39.5
Average scale score, reading 39.6School Growth 3.7Individual Student Growth Q3 1.1Individual Student Growth Q1 8.0
Opportunity to Learn (OTL) 9.4Bonus Point 1.3
This school received a D and did fairly poorly in school growth and Q3 growth
School Grades: Example
Elementary2012 2011
Baseline Grade DPreliminary Grade BGrade points 43.0 64.3Current Standing 19.5 26.7
Proficient & Above, math 44 52
Proficient & Above, reading 48 59
Average scale score, math 39.5 40.1
Average scale score, reading 39.6 41.0School Growth 3.7 9.1Individual Student Growth Q3 1.1 5.5Individual Student Growth Q1 8.0 12.9
Opportunity to Learn (OTL) 9.4 10.1Bonus Point 1.3
In fact, even though percent proficient does not tell the whole story, for this school experienced a big drop in percent proficient and above
2008-2009 2009-2010 2010-2011 2011-20120.0
10.0
20.0
30.0
40.0
50.0
60.0
70.0
Elementary Performance: 2008-2009 to 2011-2012
Math SSMath Pct Prof & abv.Reading SSReading Pct Prof & abv.
Preliminary Gardes (2011)
Final 2012 Grades
Estimating Student Growth
• SS_Mtij = γ000 + γ010*Q1_MIN10ij + γ100*FAYtij + γ200*YEARtij + γ210*YEARtij*Q1_MIN10ij
+ r0ij + r2ij *YEARtij+ u00j + u20j *YEARtij + u21j *YEARtij*Q1_MIN10ij + etij
Student Growth
Student Math SS Year FAY Q1
A 41 0 1 0
A 39 1 1 0
A 39 2 0 0
B 45 1 1 0
B 48 2 1 0
C 36 1 0 0
D 22 0 1 1
D 21 1 1 1
D 20 2 1 1
For each student his or her score for each year (FAY) and Q1 status are included.
Scale scores are a function of Year and so the fact that a student is missing a year is not important for estimating growth for a school.
Student Growth
• The following slide provides the overall student growth results for math.
Fixed Effect Coefficient Standard
errort-
ratioApprox.
d.f.p-
valueFor INTRCPT1, π0
For INTRCPT2, β00
INTRCPT3, γ000 42.27 0.14573 290 859 <0.001For Q1_MIN10, β01
INTRCPT3, γ010 -16.87 0.08464 -199 210197 <0.001For FAY slope, π1
For INTRCPT2, β10
INTRCPT3, γ100 0.562 0.03262 17.2 18323 <0.001For YEAR slope, π2
For INTRCPT2, β20
INTRCPT3, γ200 -0.787 0.04612 -17 859 <0.001For Q1_MIN10, β21
INTRCPT3, γ210 1.73 0.04326 39.8 859 <0.001
Note: next slide contains some explanation
Student Growth
• The results indicate the mean math scale score for Q3 students is about 42
• The average Q3-Q1 gap is about 16.87.• The mean growth for Q3 non-FAY students is -0.787 scale score points per year• FAY students grow about 0.56 scale score points
per year faster.• Q1 students grow about 1.73 scale score points per
year more quickly than Q3 students.
Example 2: Changes in Percent Proficient don’t tell the whole story
School Grades: Example 2 Valley High School
2011 2012Baseline Grade CPreliminary Grade BGrade points 69.2 61.5Current Standing 13.7 15.4
Proficient & Above, math 26 39Proficient & Above, reading 49 52Average scale score, math 33.8 36.9Average scale score, reading 38.3 39.9
School Growth Q3 13.2 7.7School Growth Q1 14.7 10.7Opportunity to Learn (OTL) 10.2 6.1Graduation 11.4 11.5College and Career Readiness 6.1 8.6Bonus Point 1.5
Q3 Q1
Growth estimate -1.7 1.3
Percetnile 3.7 29
Points 0.376 2.9
The table on the right demonstrates the example school’s growth in math.
The expectation in Q3 is for students to have a growth estimate of 0.
The students in this school grew at -1.7, which placed them in earned them 4% of the available point for math Q3 growth – or 0.376 points.
The school did slightly better in Q1 math growth and so earned 29% of school growth, or about 2.9 points for math Q1 growth.
SY 2009-2010 SY 2010-2011 SY 2011-201230.00
32.00
34.00
36.00
38.00
40.00
42.00
44.00
46.00
48.00
50.00
High School : Math SBA Performance Q3
Current Math
Scal
e Sc
ore
School Growth applies a value added model (VAM) to a school’s growth over the past three years to generate points towards a school grade. High School demonstrates some improvement over the past three years.
SY 2009-2010 SY 2010-2011 SY 2011-201230.00
32.00
34.00
36.00
38.00
40.00
42.00
44.00
46.00
48.00
50.00
High School : Math SBA Performance Q3
Prior Math Current Math
Scal
e Sc
ore
Most of the school growth demonstrated by High School is accounted for by the growth of High School’s students while they were in eighth grade. The Value Added Model appropriately levels the playing field by taking prior student performance into account for which High School is not responsible.