dallas isd’s value-added model

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Dallas ISD’s Value-Added Model School Effectiveness Index (SEI) Classroom Effectiveness Index (CEI) Data Analysis, Reporting, and Research Services

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Dallas ISD’s Value-Added Model. School Effectiveness Index (SEI) Classroom Effectiveness Index (CEI) Data Analysis, Reporting, and Research Services. Why Dallas ISD Uses Indices. To gauge students’ progress in relation to their peers - PowerPoint PPT Presentation

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Page 1: Dallas ISD’s Value-Added Model

Dallas ISD’s Value-Added Model

School Effectiveness Index (SEI)

Classroom Effectiveness Index (CEI)

Data Analysis, Reporting, and Research Services

Page 2: Dallas ISD’s Value-Added Model

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Why Dallas ISD Uses Indices

To gauge students’ progress in relation to their peers

To hold schools and teachers accountable for the improvement of all students, both those who are not passing and those who are

To reward improvement, not just passing rates

Page 3: Dallas ISD’s Value-Added Model

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Objectives of this Segment

Explain the Indices (SEIs and CEIs) without complex formulas and statistics Basics of value-added models Computation of the Indices

Address common concerns

Page 4: Dallas ISD’s Value-Added Model

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Passing Rates

Passing rates are important Demonstrate efforts of schools and teachers Main components of state (AEIS) and federal (AYP)

accountability systems Reflect a necessary minimum standard of

achievement Passing rates are insufficient

Innate student differences are ignored Performance alone tells little about growth and

effect of instruction “Setting the bar” fails to challenge proficient and

excellent students

Page 5: Dallas ISD’s Value-Added Model

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Value-Added Measures

Measures based on value-added models address these issues By factoring in characteristics that may

impact students’ learning (gender, ethnicity, language proficiency, socio-economic status, etc.)

By measuring a student’s change in performance relative to her peers’

By creating comparison measures for all students, every year

Page 6: Dallas ISD’s Value-Added Model

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What is “Value-Added”?

A value-added model measures the “academic value” added to students after a year of instruction

Components: Previous level of achievement (academic

value at the end of the prior school year) Current level of achievement (academic

value at the end of this school year) Difference (change, growth, gain, etc.)

Page 7: Dallas ISD’s Value-Added Model

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Value-added “Growth”

A note to which we will return…

In the Dallas ISD,

“Growth” ≠

Current score – Previous score

Page 8: Dallas ISD’s Value-Added Model

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Are the Indices “Fair”?

“Our (My) students were struggling students to start with. That’s why they didn’t do as well as other students.”

“Most of our (my) students were limited English proficient. We (I) can’t be compared to schools (teachers) that had only non-LEP students!”

“Our (My) students didn’t pass, but they did much better than last year. Shouldn’t that count?”

Page 9: Dallas ISD’s Value-Added Model

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Are the Indices “Fair”?

“Our (My) students had high scores last year. They didn’t have much room to ‘grow,’ not like students with low scores.”

“We (I) had many of our (my) students for only a few months. How can we (I) be held accountable for their progress?”

Page 10: Dallas ISD’s Value-Added Model

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Fairness Variables

These questions are valid A value-added model for accountability

does address these fairness issues Compare students with the same previous

level of achievement Compare students with the same

demographic characteristics Evaluate change in achievement without

regard to arbitrary standards Include only students at the school/in the

classroom for most of school year

Page 11: Dallas ISD’s Value-Added Model

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Fairness Variables

Student performance controlled for: Previous level of achievement Gender Ethnicity English-language proficiency Free or reduced-price lunch status Neighborhood family income Neighborhood education level Neighborhood poverty index

Page 12: Dallas ISD’s Value-Added Model

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Grouping Students on Fairness Variables

Identify unique groups of students districtwide

Grade 3 students

Male Female

LEP Non-LEP LEP Non-LEP

Group A Group B Group C Group D ... Group n

StudentVariable

StudentVariable

StudentVariable

StudentVariable

StudentVariable

StudentVariable

StudentVariable

StudentVariable

Page 13: Dallas ISD’s Value-Added Model

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Criteria for “Eligibility”

Continuously enrolled: in attendance for a minimum number of instructional days

For measures based on the TAKS, not retained in either of last two years

Appropriate scores from last year and current year

(CEIs) Received instruction in all six-week grading periods

Page 14: Dallas ISD’s Value-Added Model

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Value-added “Growth”

Growth ≠ Current score – Previous score Computation of “growth”

For each unique group, determine the expected score on the current year test

Evaluate a student’s performance based on how far from expected it was

Potential consequences: Student’s score “falls” above expectation Student’s score “rises” below expectation

Page 15: Dallas ISD’s Value-Added Model

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0

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0 5 10 15 20 25 30 35 40 45 50

# Items Correct (one prior-year test)

# It

ems

Cor

rect

(cu

rren

t-ye

ar te

st)

Value-Added GrowthStudents in a Group with 40% of Items Correct Last Year

District students that started with 40% of items correct, on average got 50% of items correct this year.

Students scoring above the district average exceed expectation

Students scoring below the district average did not meet expectation

50% Correct

40% Correct

Page 16: Dallas ISD’s Value-Added Model

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0 5 10 15 20 25 30 35 40 45 50

# Items Correct (one prior-year test)

# It

ems

Cor

rect

(cu

rren

t-ye

ar te

st)

Value-Added GrowthStudents In a Group with 80% of Items Correct Last Year

District students that started with 80% of items correct, on average got 70% of items correct this year.

Students scoring above the district average exceed expectation

Students scoring below the district average did not meet expectation

70% Correct

80% Correct

Page 17: Dallas ISD’s Value-Added Model

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Value-Added GrowthTwo Entities with Passing Rate Increase (20% to 30%)

0

5

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0 5 10 15 20 25 30 35 40 45 50

# Items Correct (one prior-year test)

# Ite

ms

Cor

rect

(cur

rent

-yea

r tes

t)

“Fail” “Fail”

“Pass” “Pass”

“Fail” “Pass”

“Pass” “Fail”

School/Teacher A: All but two students exceeded expectation = high Index

School/Teacher B: All students failed to meet expectation = low Index

Student starting with 20 items correct

Page 18: Dallas ISD’s Value-Added Model

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0

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0 5 10 15 20 25 30 35 40 45 50

Value-Added GrowthTwo Entities with Passing Rate Decrease (80% to 70%)

School/Teacher D: 6/10 students exceeded expectation = high Index

School/Teacher C: Only 1/10 students exceeded expectation = low Index

Student starting with 40 items correct

Page 19: Dallas ISD’s Value-Added Model

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Indicators

CEIs TAKS Norm-referenced Assessment of Course Performance (ACPs)

SEIs, above plus graduation rate SAT/PSAT/ACT participation PSAT averages Percentage passing AP exams Percentage enrolled in AP courses

Page 20: Dallas ISD’s Value-Added Model

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Summary: Indices

Measure amount of academic progress after receiving a year of instruction

High Indices indicate more progress than similar students across the district

Provide an additional tool to determine progress

Cannot be used in isolation from other tools: they don’t tell how to effect the change, just provide evidence

Page 21: Dallas ISD’s Value-Added Model

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Contact

Evaluation & Accountability

972-925-3503

http://www.dallasisd.org/eval/

Data Analysis, Reporting, and Research Services 972-925-6446

[email protected]

MyData Portal: https://portal.dallasisd.org/mydata

Teaching & Learning

[email protected]

Curriculum Central: https://portal.dallasisd.org/curriculum