This document is a report on a study of academic performance in San Antonio schools from 2016-2017 to 2018-2019. It examines performance at three levels: overall in San Antonio, by sector (charter, innovation, district), and for various student subgroups. The report includes numerous data figures and statistical comparisons of student growth in reading and math between sectors and relative to state averages. It analyzes the performance of charter school subgroups relative to each other and differences in school-level performance by sector.
This document provides a summary of research findings from a study of academic performance in Austin, Texas schools from 2014-2015 through 2017-2018. The summary includes:
- Comparisons of reading and math growth for all Austin students versus state averages and by school sector (charter vs. district).
- Analysis of subgroups including Black, Hispanic, low-income, ELL, special education, male and female students' growth within Austin and versus state averages.
- Comparisons of charter management organization (CMO) affiliated charter schools versus independent charter schools' growth.
- The study measures academic performance through analyzing student growth in learning gains over time rather than point-in-time achievement scores.
The document is a report that analyzes academic performance in Baton Rouge schools from 2016-2017 to 2018-2019. It finds that:
1) Baton Rouge charter school students outperformed similar traditional public school students in reading and math growth, while Baton Rouge magnet school students saw mixed results compared to traditional public school students.
2) Within the charter sector, students at CMO-affiliated charter schools generally saw greater gains compared to independent charter schools.
3) Performance varied among different student subgroups, with some groups like black students and students in poverty showing greater growth in charter schools compared to traditional public schools.
This document is a report on a study of academic performance in San Antonio schools from 2016-2017 to 2018-2019. It examines performance at three levels: overall in San Antonio, by sector (charter, innovation, district), and for various student subgroups. The report includes numerous data figures and statistical comparisons of student growth in reading and math between sectors and relative to state averages. It analyzes the performance of charter school subgroups relative to each other and differences in school-level performance by sector.
This document provides a summary of research findings from a study of academic performance in Austin, Texas schools from 2014-2015 through 2017-2018. The summary includes:
- Comparisons of reading and math growth for all Austin students versus state averages and by school sector (charter vs. district).
- Analysis of subgroups including Black, Hispanic, low-income, ELL, special education, male and female students' growth within Austin and versus state averages.
- Comparisons of charter management organization (CMO) affiliated charter schools versus independent charter schools' growth.
- The study measures academic performance through analyzing student growth in learning gains over time rather than point-in-time achievement scores.
The document is a report that analyzes academic performance in Baton Rouge schools from 2016-2017 to 2018-2019. It finds that:
1) Baton Rouge charter school students outperformed similar traditional public school students in reading and math growth, while Baton Rouge magnet school students saw mixed results compared to traditional public school students.
2) Within the charter sector, students at CMO-affiliated charter schools generally saw greater gains compared to independent charter schools.
3) Performance varied among different student subgroups, with some groups like black students and students in poverty showing greater growth in charter schools compared to traditional public schools.
This summary highlights major findings about students’ academic performance in public K-12 schools in Houston, Texas. Performance is measured by one-year learning gains or growth students made from one school year to the next. Houston students’ progress is measured against the average growth of students throughout the state. The report examines the progress of students that attend charter and magnet schools in Houston, when compared to those who attend district schools with similar student demographics. This comparison takes into account the characteristics of all students.
In 2022, CREDO at Stanford University completed a second analysis of the performance of public schools in Austin, Texas.1 This summary highlights the findings about the academic performance of students in public K-12 schools in Austin. Performance is measured by one-year learning gains or growth students made from one school year to the next. We benchmark the growth of Austin students against the state average growth and then compare the progress of charter school students with that of similar district school students within Austin, accounting for student characteristics.
In 2022, CREDO at Stanford University completed an analysis of the performance of public schools in Fort Worth, Texas.1 This summary highlights the findings about students’ academic performance in public K-12 schools in Fort Worth. Performance is measured by one-year learning gains or growth students made from one school year to the next. We benchmark the growth of Fort Worth students against the state average academic and then compare the progress of charter school students with that of similar district school students within Fort Worth, accounting for student characteristics.
This summary highlights major findings about students’ academic performance in public K-12 schools in Newark, New Jersey. Performance is measured by one-year learning gain or growth students made from one school year to the next. We benchmark Newark students’ growth against the state average growth and then compare the progress of charter and magnet school students with that of similar non-magnet district school (abbreviated as district school) students within Newark, accounting for student characteristics.
This document presents research findings from a study of schools in Denver, Colorado between 2016-2017 and 2018-2019. It analyzes academic growth in reading and math for all students and various student subgroups across three sectors - charter schools, innovation schools, and other district schools. Key findings are presented comparing performance between sectors and to state averages, as well as analysis at the school level. Subgroup analyses look at differences for Black, Hispanic, low-income, ELL, special education, male, and female students.
Factors Correlated with Educational Attainment
Applied Analysis has been asked by the Las Vegas Chamber of Commerce to examine various aspects of Nevada’s system of elementary and secondary education in public schools (“K-12”). One such aspect is the extent to which student achievement is related or unrelated to socio-economic factors and/or measures of school operations, including, without limitation, financial resources. This briefing examines the most commonly cited factors, analyzing each against student performance on standardized exams and graduation rates in all 50 states and the District of Columbia.
This document provides an overview of student assessment and academic performance reporting for a charter school board training. It discusses the goals of assessing whether students are learning and being prepared for college. Various national and state assessments are outlined, including what they measure and their testing cycles. The document also reviews how to analyze assessment data and evaluate whether students are meeting achievement and growth goals using tools like Elevate360. Potential changes to future assessments like the MEAP and ACT exams are also noted.
A First Look at Trends and Bright Spots in St. Louis School Performance Post...The Opportunity Trust
In partnership with Exponent Education, a highly regarded education data group, you are invited to a discussion on the recently released state education data – our first look at how children and schools are doing post-pandemic.
We share a new and novel analysis of state and regional trends with a focus on bright spots – where we are seeing progress that can help all schools and systems improve faster.
We hope this analysis is a resource for all of us working to increase access to educational opportunities for our most vulnerable children, and that it helps us individually and collectively allocate our time and resources to make the greatest impact possible.
The Jacksonville Public Education Fund presented information on proposed changes to Florida's school grading system. The Florida Department of Education proposes transitioning to a new school accountability model that focuses on student achievement, learning gains, and graduation rates. It would report grades as a percentage of total points earned rather than a point total. The proposal aims to make grades more stable and meaningful but has received some feedback regarding areas like measuring student growth and transition timelines. Next steps include addressing these issues and ensuring better alignment between school, teacher, and district accountability systems during the transition.
This document summarizes information about the 2013 U.S. News & World Report college rankings. It discusses how Grinnell College's rankings changed from the previous year, going up 5 spots to #17 overall. It also saw increases in selectivity, faculty resources, and financial resources rankings. The document reviews the methodology used by U.S. News and compares Grinnell's data to averages in different ranking bands. It analyzes trends in Grinnell's rankings over time and discusses alternative ranking systems.
This document analyzes charter school performance in Rhode Island. It finds that:
1) Students attending charter schools in Rhode Island experience significantly higher academic growth compared to similar students in traditional public schools, with 43% of charter schools outperforming local traditional public school options in reading and 57% outperforming in math.
2) Charter school attendance is associated with improved learning gains for disadvantaged student groups like those in poverty, English learners, and students with special needs relative to traditional public schools.
3) Charter school attendance is also linked to higher learning gains for Black and Hispanic students compared to traditional public schools.
However, the analysis still finds substantial learning inequalities that exist for disadvantaged student
Charter schools in California, New York, and Washington state show standing capacity to adapt. New research on charter schools’ reveals a larger story of how education policy at large can contribute in positive ways to strengthening outcomes for public school students.
This summary highlights major findings about students’ academic performance in public K-12 schools in Houston, Texas. Performance is measured by one-year learning gains or growth students made from one school year to the next. Houston students’ progress is measured against the average growth of students throughout the state. The report examines the progress of students that attend charter and magnet schools in Houston, when compared to those who attend district schools with similar student demographics. This comparison takes into account the characteristics of all students.
In 2022, CREDO at Stanford University completed a second analysis of the performance of public schools in Austin, Texas.1 This summary highlights the findings about the academic performance of students in public K-12 schools in Austin. Performance is measured by one-year learning gains or growth students made from one school year to the next. We benchmark the growth of Austin students against the state average growth and then compare the progress of charter school students with that of similar district school students within Austin, accounting for student characteristics.
In 2022, CREDO at Stanford University completed an analysis of the performance of public schools in Fort Worth, Texas.1 This summary highlights the findings about students’ academic performance in public K-12 schools in Fort Worth. Performance is measured by one-year learning gains or growth students made from one school year to the next. We benchmark the growth of Fort Worth students against the state average academic and then compare the progress of charter school students with that of similar district school students within Fort Worth, accounting for student characteristics.
This summary highlights major findings about students’ academic performance in public K-12 schools in Newark, New Jersey. Performance is measured by one-year learning gain or growth students made from one school year to the next. We benchmark Newark students’ growth against the state average growth and then compare the progress of charter and magnet school students with that of similar non-magnet district school (abbreviated as district school) students within Newark, accounting for student characteristics.
This document presents research findings from a study of schools in Denver, Colorado between 2016-2017 and 2018-2019. It analyzes academic growth in reading and math for all students and various student subgroups across three sectors - charter schools, innovation schools, and other district schools. Key findings are presented comparing performance between sectors and to state averages, as well as analysis at the school level. Subgroup analyses look at differences for Black, Hispanic, low-income, ELL, special education, male, and female students.
Factors Correlated with Educational Attainment
Applied Analysis has been asked by the Las Vegas Chamber of Commerce to examine various aspects of Nevada’s system of elementary and secondary education in public schools (“K-12”). One such aspect is the extent to which student achievement is related or unrelated to socio-economic factors and/or measures of school operations, including, without limitation, financial resources. This briefing examines the most commonly cited factors, analyzing each against student performance on standardized exams and graduation rates in all 50 states and the District of Columbia.
This document provides an overview of student assessment and academic performance reporting for a charter school board training. It discusses the goals of assessing whether students are learning and being prepared for college. Various national and state assessments are outlined, including what they measure and their testing cycles. The document also reviews how to analyze assessment data and evaluate whether students are meeting achievement and growth goals using tools like Elevate360. Potential changes to future assessments like the MEAP and ACT exams are also noted.
A First Look at Trends and Bright Spots in St. Louis School Performance Post...The Opportunity Trust
In partnership with Exponent Education, a highly regarded education data group, you are invited to a discussion on the recently released state education data – our first look at how children and schools are doing post-pandemic.
We share a new and novel analysis of state and regional trends with a focus on bright spots – where we are seeing progress that can help all schools and systems improve faster.
We hope this analysis is a resource for all of us working to increase access to educational opportunities for our most vulnerable children, and that it helps us individually and collectively allocate our time and resources to make the greatest impact possible.
The Jacksonville Public Education Fund presented information on proposed changes to Florida's school grading system. The Florida Department of Education proposes transitioning to a new school accountability model that focuses on student achievement, learning gains, and graduation rates. It would report grades as a percentage of total points earned rather than a point total. The proposal aims to make grades more stable and meaningful but has received some feedback regarding areas like measuring student growth and transition timelines. Next steps include addressing these issues and ensuring better alignment between school, teacher, and district accountability systems during the transition.
This document summarizes information about the 2013 U.S. News & World Report college rankings. It discusses how Grinnell College's rankings changed from the previous year, going up 5 spots to #17 overall. It also saw increases in selectivity, faculty resources, and financial resources rankings. The document reviews the methodology used by U.S. News and compares Grinnell's data to averages in different ranking bands. It analyzes trends in Grinnell's rankings over time and discusses alternative ranking systems.
This document analyzes charter school performance in Rhode Island. It finds that:
1) Students attending charter schools in Rhode Island experience significantly higher academic growth compared to similar students in traditional public schools, with 43% of charter schools outperforming local traditional public school options in reading and 57% outperforming in math.
2) Charter school attendance is associated with improved learning gains for disadvantaged student groups like those in poverty, English learners, and students with special needs relative to traditional public schools.
3) Charter school attendance is also linked to higher learning gains for Black and Hispanic students compared to traditional public schools.
However, the analysis still finds substantial learning inequalities that exist for disadvantaged student
Charter schools in California, New York, and Washington state show standing capacity to adapt. New research on charter schools’ reveals a larger story of how education policy at large can contribute in positive ways to strengthening outcomes for public school students.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
2. Table of Contents
0 1 R E PORT OVE R VIE W
• About The City Studies Project
• Sectors of Schools
• Research Question and Analyses
• Measure of Academic Performance
Student Subgroup Analysis
Summary of Findings
0 3 APPE N DIX E S
• Acknowledgments
• Types of Charter Schools
• Methods
• Days of Learning
• Full Set of Findings
0 2 R E SE AR CH
F IN DIN G S
• Reading & Math
Overall St. Louis Results
Sector Analysis
• vs. state & comparison
within St. Louis
Charter Subsector Analysis
• Reading
• Math
School-Level Performance by Sector
Research Findings Cont’d.
Black Students
• all vs. state
• vs. state by sector &
comparison within St. Louis
Hispanic Students
• all vs. state
• vs. state by sector &
comparison within St. Louis
Students in Poverty
• all vs. state
• vs. state by sector &
comparison within St. Louis
ELL Students
• all vs. state
• vs. state by sector &
comparison within St. Louis
Special Ed Students
• all vs. state
• vs. state by sector &
comparison within St. Louis
Male Students
• all vs. state
• vs. state by sector &
comparison within St. Louis
Female Students
• all vs. state
• vs. state by sector &
comparison within St. Louis
• Reading
• Math
4. About The City Studies Project
Cohort 1 Cohort 2
The City Studies project examines the performance of schools in select U.S. cities,
including St. Louis. We study the academic progress of students as the measure of school
performance.
5. O
O
C
C
C
CHARTER SCHOOLS
Public schools operated independently from the
traditional school district, with autonomy in adapting
school designs and held accountable for education
results.
Charter Management Organizations (CMOs)
Organizations holding the charter and overseeing the
operation of at least three charter schools.
Independent Charter Schools
Organizations holding the charter and overseeing the
operation of a single or two charter schools.
SELECTIVE MAGNET SCHOOLS
District-run schools with focused themes and
academically selective admission.
OTHER DISTRICT-RUN SCHOOLS
Public schools not belonging to any of above two types.
C
Sectors of Schools
COMMUNITIES MAY HAVE UP TO THREE SECTORS OF SCHOOLS
6. Research Question and Analyses
IN THIS REPORT WE EXAMINE ACADEMIC PERFORMANCE IN ST.
LOUIS USING DATA FROM THE SCHOOL YEARS 2015-16
THROUGH 2018-19. THERE ARE THREE LEVELS OF ANALYSIS.
Overall performance in
St. Louis schools over two
years.
• The performance of St. Louis
students is benchmarked against the
state average performance,
accounting for student
characteristics.
• The performance of charter school
students and the performance of
magnet school students within St.
Louis are then compared to that of
similar traditional public school
(district school) students within St.
Louis.
Performance for St.
Louis charter schools,
St. Louis magnet
schools and the rest of
St. Louis Public schools
over two years.
Performance in the 2018-
2019 school year by
school type, race,
poverty status, English
language learner (ELL)
status, special
education status and
gender.
WE MAKE TWO SETS
OF COMPARISONS.
01 02 03
7. Achievement scores capture what a student knows at a point
in time. They are influenced by students’ prior conditions in
addition to schools’ contributions.
Growth scores indicate how much progress a student makes
from one year to the next. Growth scores allow us to zero in
on the contributions of schools separately from other factors
that affect point-in-time scores.
ACHIEVEMENT VS. GROWTH
We analyze student growth in standard deviation units so
that the results can be assessed for statistical differences.
The full set of findings appear in the Appendix.
In the following graphs of findings, we transform growth
from standard deviation units into days of learning based on
a typical 180-day school year.
IN THIS STUDY WE MEASURE
ACADEMIC PERFORMANCE AS HOW
MUCH GROWTH STUDENTS MAKE FROM
ONE YEAR TO THE NEXT.
Measure of Academic Performance
SPECIAL HANDING OF ST. LOUIS
GROWTH SCORES FOR 2017-18
For the period ending in Spring 2018, we use student test
scores from the 2015-16 school year as starting scores to
calculate student growth because the Missouri test score
data for 2016-17 are incomplete.
9. -100
-75
-50
-25
0
25
50
75
100
125
150
175
200
SY 2017-2018 SY 2018-2019
Growth
(in
Days
of
Learning)
significantly different at p< 0.05
reading math
Research Findings > Overall St. Louis Results
> Reading & Math
Average One-Year Learning Gains for All St. Louis
Students Compared to the State Average Learning
Gains, by Year and Subject
10. -100
-75
-50
-25
0
25
50
75
100
125
150
175
200
SY 2017-2018 SY 2018-2019
Growth
(in
Days
of
Learning)
Learning Gains in Reading for Students in St. Louis
Charter Schools, St. Louis Magnet Schools, and St.
Louis District Schools Compared to the State Average
Learning Gains, by Year
significantly different at p< 0.05
charter magnet
Research Findings > Sector Analysis
> Reading
VS. STATE & COMPARISON WITHIN ST. LOUIS
charter magnet district
Reading
Charter vs. District
Magnet vs. District
Charter vs. Magnet
'17-'18 '18-'19
Tests of Differences
11. -100
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-50
-25
0
25
50
75
100
125
150
175
200
SY 2017-2018 SY 2018-2019
Growth
(in
Days
of
Learning)
Learning Gains in Math for Students in St. Louis
Charter Schools, St. Louis Magnet Schools, and St.
Louis District Schools Compared to the State Average
Learning Gains, by Year
significantly different at p< 0.05
charter magnet district
Research Findings > Sector Analysis
> Math
VS. STATE & COMPARISON WITHIN ST. LOUIS
Math
Charter vs. District
Magnet vs. District
Charter vs. Magnet
Tests of Differences
'17-'18 '18-'19
12. 0
25
50
75
100
125
150
175
200
CMO Charter Schools Independent Charter Schools
Growth
(in
Days
of
Learning)
Relative Learning Gains for Students in St. Louis
CMO-Affiliated Charter Schools and Independent St.
Louis Charter Schools Compared to the Average
Learning Gains for All Student in the State, by
Subject
significantly different at p< 0.05
reading math
Research Findings > Charter Subsector Analysis
> vs. state & comparison within St. Louis
Reading
CMOs vs Independent Charter Schools
Math
CMOs vs Independent Charter Schools
sig
Tests of Differences
13. -600 -500 -400 -300 -200 -100 0 100 200 300 400 500 600 700
Growth (in Days of Learning)
Charter
District
Magnet
Research Findings > School-Level Performance by Sector
> Reading
14. -600 -500 -400 -300 -200 -100 0 100 200 300 400 500 600 700
Growth (in Days of Learning)
Charter
District
Magnet
Research Findings > School-Level Performance by Sector
>Math
15. -100
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0
25
50
75
100
125
150
175
200
St. Louis Black Students
Growth
(in
Days
of
Learning)
Learning Gains for All St. Louis Black Students
Compared to the Average Learning Gains of Black
Students Statewide, by Subject
significantly different at p< 0.05
reading math
Research Findings > Student Subgroup Analysis
> Black Students
ALL VS. STATE
16. -100
-75
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-25
0
25
50
75
100
125
150
175
200
St. Louis Charter
Black Students
St. Louis Magnet
Black Students
St. Louis District
Black Students
Growth
(in
Days
of
Learning)
Learning Gains for Black Students in St. Louis Charter
Schools, Black Students in St. Louis Magnet Schools,
and Black Students in St. Louis District Schools
Compared to the Average Learning Gains of Black
Students Statewide, by Subject
significantly different at p< 0.05
reading math
Research Findings > Student Subgroup Analysis
> Black Students
VS. STATE BY SECTOR & COMPARISON WITHIN ST. LOUIS
Reading
Charter Black vs. District Black
Magnet Black vs. District Black
Math
Charter Black vs. District Black
Magnet Black vs. District Black
Tests of Differences
sig
17. -100
-75
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-25
0
25
50
75
100
125
150
175
200
St. Louis Hispanic Students
Growth
(in
Days
of
Learning)
Learning Gains for All St. Louis Hispanic Students
Compared to the Average Learning Gains of Hispanic
Students Statewide, by Subject
significantly different at p< 0.05
reading math
Research Findings > Student Subgroup Analysis
> Hispanic Students
ALL VS. STATE
18. -100
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0
25
50
75
100
125
150
175
200
St. Louis Charter
Hispanic Students
St. Louis Magnet
Hispanic Students
St. Louis District
Hispanic Students
Growth
(in
Days
of
Learning)
Learning Gains for Hispanic Students in St. Louis Charter
Schools, Hispanic Students in St. Louis Magnet Schools,
and Hispanic Students in St. Louis District Schools
Compared to the Average Learning Gains of Hispanic
Students Statewide, by Subject
significantly different at p< 0.05
reading math
Research Findings > Student Subgroup Analysis
> Hispanic Students
VS. STATE BY SECTOR & COMPARISON WITHIN ST. LOUIS
Reading
Charter Hispanic vs. District Hispanic
Magnet Hispanic vs. District Hispanic
Math
Charter Hispanic vs. District Hispanic
Magnet Hispanic vs. District Hispanic
Tests of Differences
sig
19. -100
-75
-50
-25
0
25
50
75
100
125
150
175
200
St. Louis Students in Poverty
Growth
(in
Days
of
Learning)
Learning Gains for All St. Louis Students in Poverty
Compared to the Average Learning Gains of Students
in Poverty Statewide, by Subject
significantly different at p< 0.05
reading math
Research Findings > Student Subgroup Analysis
> Students in Poverty
ALL VS. STATE
20. -100
-75
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0
25
50
75
100
125
150
175
200
St. Louis Charter
Students in Poverty
St. Louis Magnet
Students in Poverty
St. Louis District
Students in Poverty
Growth
(in
Days
of
Learning)
Learning Gains for St. Louis Charter School Students
in Poverty, St. Louis Magnet School Students in
Poverty, and St. Louis District School Students in
Poverty Compared to the Average Learning Gains of
Students in Poverty Statewide, by Subject
significantly different at p< 0.05
reading math
Research Findings > Student Subgroup Analysis
> Students in Poverty
VS. STATE BY SECTOR & COMPARISON WITHIN ST. LOUIS
Reading
Charter Poverty vs. District Poverty
Magnet Poverty vs. District Poverty
Math
Charter Poverty vs. District Poverty
Magnet Poverty vs. District Poverty
Tests of Differences
sig
21. -50
-25
0
25
50
75
100
125
150
175
200
St. Louis ELL Students
Growth
(in
Days
of
Learning)
Learning Gains for All ELL Students in St. Louis
Compared to the Average Learning Gains of ELL
Students Statewide, by Subject
significantly different at p< 0.05
reading math
Research Findings > Student Subgroup Analysis
> ELL Students
ALL VS. STATE
22. -50
-25
0
25
50
75
100
125
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175
200
St. Louis Charter
ELL Students
St. Louis Magnet
ELL Students
St. Louis District
ELL Students
Growth
(in
Days
of
Learning)
Learning Gains for ELL Students in St. Louis Charter
Schools, ELL Students in St. Louis Magnet Schools,
and ELL Students in St. Louis District Schools
Compared to the Average Learning Gains of ELL
Students Statewide, by Subject
significantly different at p< 0.05
reading math
Research Findings > Student Subgroup Analysis
> ELL Students
VS. STATE BY SECTOR & COMPARISON WITHIN ST. LOUIS
Reading
Charter ELL vs. District ELL
Magnet ELL vs. District ELL
Math
Charter ELL vs. District ELL
Magnet ELL vs. District ELL
Tests of Differences
sig
23. -50
-25
0
25
50
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125
150
175
200
225
250
275
300
St. Louis Special Ed Students
Growth
(in
Days
of
Learning)
Learning Gains for All St. Louis Students in Special
Education Compared to the Average Learning Gains of
Students in Special Education Statewide, by Subject
significantly different at p< 0.05
reading math
Research Findings > Student Subgroup Analysis
> Special Ed Students
ALL VS. STATE
24. -50
-25
0
25
50
75
100
125
150
175
200
225
250
275
300
St. Louis Charter
Students in Special Ed.
St. Louis Magnet
Students in Special Ed.
St. Louis District
Students in Special Ed.
Growth
(in
Days
of
Learning)
Learning Gains for St. Louis Charter School Students
in Special Ed., St. Louis Magnet School Students in
Special Ed., and St. Louis District School Students in
Special Ed. Compared to the Average Learning Gains
of Students in Special Ed. Statewide, by Subject
significantly different at p< 0.05
reading math
Research Findings > Student Subgroup Analysis
> Special Ed Students
VS. STATE BY SECTOR & COMPARISON WITHIN ST. LOUIS
Reading
Charter Sped vs. District Sped
Magnet Sped vs. District Sped
Math
Charter Sped vs. District Sped
Magnet Sped vs. District Sped
Tests of Differences
sig
25. -100
-75
-50
-25
0
25
50
75
100
125
150
175
200
225
250
St. Louis Male Students
Growth
(in
Days
of
Learning)
Learning Gains for All St. Louis Male Students
Compared to the Average Learning Gains of Male
Students Statewide, by Subject
significantly different at p< 0.05
reading math
Research Findings > Student Subgroup Analysis
> Male Students
ALL VS. STATE
26. -100
-75
-50
-25
0
25
50
75
100
125
150
175
200
225
250
St. Louis Charter
Male Students
St. Louis Magnet
Male Students
St. Louis District
Male Students
Growth
(in
Days
of
Learning)
Learning Gains for Male Students in St. Louis Charter
Schools, Male Students in St. Louis Magnet Schools,
and Male Students in St. Louis District Schools
Compared to the Average Learning Gains of Male
Students Statewide, by Subject
significantly different at p< 0.05
reading math
Research Findings > Student Subgroup Analysis
> Male Students
VS. STATE BY SECTOR & COMPARISON WITHIN ST. LOUIS
Reading
Charter Male vs. District Male
Magnet Male vs. District Male
Math
Charter Male vs. District Male
Magnet Male vs. District Male
Tests of Differences
sig
Reading
Charter Male vs. District Male
Magnet Male vs. District Male
Math
Charter Male vs. District Male
Magnet Male vs. District Male
Tests of Differences
sig
27. -100
-75
-50
-25
0
25
50
75
100
125
150
175
200
225
250
St. Louis Female Students
Growth
(in
Days
of
Learning)
Learning Gains for All St. Louis Female Students
Compared to the Average Learning Gains of Female
Students Statewide, by Subject
significantly different at p< 0.05
reading math
Research Findings > Student Subgroup Analysis
> Female Students
ALL VS. STATE
28. -100
-75
-50
-25
0
25
50
75
100
125
150
175
200
225
250
St. Louis Charter
Female Students
St. Louis Magnet
Female Students
St. Louis District
Female Students
Growth
(in
Days
of
Learning)
Learning Gains for Female Students in St. Louis Charter
Schools, Female Students in St. Louis Magnet Schools, and
Female Students in St. Louis District Schools Compared to
the Average Learning Gains of Female Students Statewide,
by Subject
significantly different at p< 0.05
reading math
Research Findings > Student Subgroup Analysis
> Female Students
VS. STATE BY SECTOR & COMPARISON WITHIN ST. LOUIS
Reading
Charter Female vs. District Female
Magnet Female vs. District Female
Math
Charter Female vs. District Female
Magnet Female vs. District Female
Tests of Differences
sig
29. Summary of Findings
The summary of the findings from the analysis of St. Louis schools is presented here.
31. Acknowledgments
Student-level data were
provided by the
Missouri Department of
Elementary & Secondary
Education.
The opportunity trust assisted CREDO
with verifying the list of public schools
in St. Louis.
32. Types of Charter Schools
• With more schools and students than a single charter
school, CMOs have some operational advantages in their
ability to spread administrative fixed costs, thus
providing the possibility of greater efficiency. In
addition, CMOs may be able to support additional
programs and more robust staffing.
• Whether CMOs lead to better student outcomes is a
matter of interest across the country.
OUR ANALYSES OF ST. LOUIS CHARTER
SCHOOLS INCLUDE A BREAKOUT OF
CMOS AND INDEPENDENT CHARTERS.
There are two types
of charter schools.
CHARTER MANAGEMENT ORGANIZATIONS (CMOS)
Organizations holding the charter and overseeing the
operation of at least three charter schools.
INDEPENDENT CHARTER SCHOOLS
Organization holding the charter and overseeing the
operation of a single charter school. It may run the school
directly or contract with an organization which provides
services to one or two charter schools.
33. Methods
The annual academic growth of students in St. Louis from
2015-16 to 2018-19, overall and by sector, is benchmarked to
the state average growth, accounting for student
characteristics.
We also explore how one-year growth of St. Louis students
for the period ending in Spring 2019 differs by school type,
race, poverty status, English language learner status, special
education status, and gender.
34. Days of Learning
While these tools create precise and reliable answers,
they are presented in technical terms that are not
user-friendly to a general audience. To translate the
technical results into terms that are accessible to non-
technical audiences, CREDO developed Days of
Learning.
CREDO USES ADVANCED
TECHNOLOGY AND
SOPHISTICATED STATISTICAL
TOOLS TO MEASURE STUDENTS,
SCHOOLS AND THE EDUCATION
LANDSCAPE.
Think about the students in your state’s public schools. For many of their years
of schooling, they take achievement tests to measure what they know at the end of
the school year. We can identify the average score for each test each year.
Imagine a student who scores exactly at the average in one year, say 4th
grade, and then in the following year, scores exactly at the average again on the 5th-
grade test. The amount of year-to-year learning for that student show us what the
average learning is for all the students who took both tests.
We do that calculation for every grade the state tests: 4th to 5th, 5th to 6th,
and so on.
CREDO uses those annual measures of average learning to represent a typical
year of learning, and equates that to a typical 180-day school year. We say that the
student in our example has gained 180 days of learning.
If a student makes more progress than the average student, we take the
amount of extra achievement and translate it into 180-days of learning plus “X” extra
days. We are creating a measure of student learning as if the student went to school
for 180 days plus X days. The size of “X” depends on how much more the student
learns than the average student — if it’s a lot more, then “X” will be a large number,
and if it’s a small amount more, “X” will be a small number.
The same is true for students who do not learn as much as the average
student. Instead of adding to the 180-days-of-learning average, we subtract from
that base to reflect the smaller-than-average advances that those students realize. In
these cases, the difference leads to numbers such a “165 days of learning” or “152
days of learning”. Against the average standard of 180 days, these smaller days show
that students learned as if they had only attended school for 180 days minus X days
during the school year.
01
02
03
04
05
06
3rd
Grade
4th
Grade
= 180
days
More than 180
days
Less than 180
days
Student
A
Student
A
35. Overall St. Louis Results
Significant at p < 0.05*
Significant at p < 0.01**
R E A D I N G M A T H
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
S t . L o u i s O v e r a l l 2 0 1 7 - 1 8 -0.03 -19 0.00 -2
S t . L o u i s O v e r a l l 2 0 1 8 - 1 9 0.02 9 0.00 -1
36. St. Louis School Sectors Compared
to State Average
Significant at p < 0.05*
Significant at p < 0.01**
R E A D I N G M A T H
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
C h a r t e r S c h o o l s 2 0 1 7 - 1 8 0.02 10 0.03 16
C h a r t e r S c h o o l s 2 0 1 8 - 1 9 0.07** 39** 0.09** 51**
M a g n e t S c h o o l s 2 0 1 7 - 1 8 0.22** 132** 0.26** 152**
M a g n e t S c h o o l s 2 0 1 8 - 1 9 0.30** 178** 0.29** 172**
O t h e r D i s t r i c t S c h o o l s 2 0 1 7 - 1 8 -0.14** -85** -0.09* -53*
O t h e r D i s t r i c t S c h o o l s 2 0 1 8 - 1 9 -0.07** -40** -0.11** -63**
37. Comparison of School Sectors within St. Louis
Significant at p < 0.05*
Significant at p < 0.01**
R E A D I N G M A T H
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
C h a r t e r S c h o o l s v s . O t h e r D i s t r i c t S c h o o l s 2 0 1 7 - 1 8 0.16** 94** 0.12* 69*
C h a r t e r S c h o o l s v s . O t h e r D i s t r i c t S c h o o l s 2 0 1 8 - 1 9 0.13** 79** 0.19** 114**
M a g n e t S c h o o l s v s . O t h e r D i s t r i c t S c h o o l s 2 0 1 7 - 1 8 0.37** 217** 0.35** 205**
M a g n e t S c h o o l s v s . O t h e r D i s t r i c t S c h o o l s 2 0 1 8 - 1 9 0.37** 218** 0.40** 234**
38. Charter Subsector Analysis
Significant at p < 0.05*
Significant at p < 0.01**
R E A D I N G M A T H
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
S t . L o u i s C M O s v s . S t a t e A v e r a g e 0.05 31 0.07 40
S t . L o u i s I n d e p e n d e n t C h a r t e r s v s . S t a t e A v e r a g e 0.09** 55** 0.12** 72**
S t . L o u i s C M O s v s . S t . L o u i s I n d e p e n d e n t C h a r t e r s -0.04 -25 -0.06 -33
39. Student Subgroup Analysis> Black Students
Significant at p < 0.05*
Significant at p < 0.01**
R E A D I N G M A T H
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
Compared with Statewide Average of Black Students
S t . L o u i s B l a c k S t u d e n t s O v e r a l l -0.01 -4 -0.03 -18
S t . L o u i s C h a r t e r S c h o o l B l a c k S t u d e n t s 0.08** 46** 0.10* 56*
S t . L o u i s M a g n e t S c h o o l B l a c k S t u d e n t s 0.25** 145** 0.26** 154**
S t . L o u i s O t h e r D i s t r i c t S c h o o l B l a c k S t u d e n t s -0.08** -45** -0.12** -72**
Compared with Black Students in Other District Schools in
St. Louis
S t . L o u i s C h a r t e r S c h o o l B l a c k S t u d e n t s 0.16** 91** 0.22** 128**
S t . L o u i s M a g n e t S c h o o l B l a c k S t u d e n t s 0.32** 189** 0.38** 225**
40. Student Subgroup Analysis> Hispanic Students
Significant at p < 0.05*
Significant at p < 0.01**
R E A D I N G M A T H
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
Compared with Statewide Average of Hispanic Students
S t . L o u i s H i s p a n i c S t u d e n t s O v e r a l l 0.03 15 0.04 24
S t . L o u i s C h a r t e r S c h o o l H i s p a n i c S t u d e n t s 0.08** 47** 0.07 43
S t . L o u i s M a g n e t S c h o o l H i s p a n i c S t u d e n t s 0.11 66 0.17 102
S t . L o u i s O t h e r D i s t r i c t S c h o o l H i s p a n i c S t u d e n t s -0.06 -34 -0.01 -8
Compared with Hispanic Students in Other District Schools
in St. Louis
S t . L o u i s C h a r t e r S c h o o l H i s p a n i c S t u d e n t s 0.14** 81** 0.09 50
S t . L o u i s M a g n e t S c h o o l H i s p a n i c S t u d e n t s 0.17 99 0.19 110
41. Student Subgroup Analysis> Students in Poverty
Significant at p < 0.05*
Significant at p < 0.01**
R E A D I N G M A T H
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
Compared with Statewide Average of Students in Poverty
S t . L o u i s S t u d e n t s i n P o v e r t y O v e r a l l 0.02 9 0.00 -1
S t . L o u i s C h a r t e r S c h o o l S t u d e n t s i n P o v e r t y 0.08** 44** 0.10** 60**
S t . L o u i s M a g n e t S c h o o l S t u d e n t s i n P o v e r t y 0.30** 178** 0.29** 172**
S t . L o u i s O t h e r D i s t r i c t S c h o o l S t u d e n t s i n P o v e r t y -0.07** -40** -0.11** -63**
Compared with Students in Poverty in Other District
Schools in St. Louis
S t . L o u i s C h a r t e r S c h o o l S t u d e n t s i n P o v e r t y 0.14** 84** 0.21** 122**
S t . L o u i s M a g n e t S c h o o l S t u d e n t s i n P o v e r t y 0.37** 218** 0.40** 235**
42. Student Subgroup Analysis> ELL Students
Significant at p < 0.05*
Significant at p < 0.01**
R E A D I N G M A T H
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
Compared with Statewide Average of ELL Students
S t . L o u i s E L L S t u d e n t s O v e r a l l -0.01 -8 0.04 20
S t . L o u i s C h a r t e r S c h o o l E L L S t u d e n t s 0.02 12 0.08 45
S t . L o u i s M a g n e t S c h o o l E L L S t u d e n t s 0.19 112 0.27 156
S t . L o u i s O t h e r D i s t r i c t S c h o o l E L L S t u d e n t s -0.04 -24 0.00 2
Compared with ELL Students in Other District Schools in
St. Louis
S t . L o u i s C h a r t e r S c h o o l E L L S t u d e n t s 0.06 35 0.07 43
S t . L o u i s M a g n e t S c h o o l E L L S t u d e n t s 0.23** 135** 0.26** 153**
43. Student Subgroup Analysis> Special Ed Students
Significant at p < 0.05*
Significant at p < 0.01**
R E A D I N G M A T H
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
Compared with Statewide Average of Special Ed Students
S t . L o u i s S p e c i a l E d S t u d e n t s O v e r a l l 0.05 28 0.03 17
S t . L o u i s C h a r t e r S c h o o l S p e c i a l E d S t u d e n t s 0.07 41 0.16** 92**
S t . L o u i s M a g n e t S c h o o l S p e c i a l E d S t u d e n t s 0.45** 266** 0.42** 244**
S t . L o u i s O t h e r D i s t r i c t S c h o o l S p e c i a l E d S t u d e n t s 0.00 2 -0.06 -38
Compared with Special Ed Students in Other District
Schools in St. Louis
S t . L o u i s C h a r t e r S c h o o l S p e c i a l E d S t u d e n t s 0.07 39 0.22** 129**
S t . L o u i s M a g n e t S c h o o l S p e c i a l E d S t u d e n t s 0.45** 263** 0.48** 282**
44. Student Subgroup Analysis> Male Students
Significant at p < 0.05*
Significant at p < 0.01**
R E A D I N G M A T H
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
Compared with Statewide Average of Male Students
S t . L o u i s M a l e S t u d e n t s O v e r a l l 0.03 14 -0.01 -4
S t . L o u i s C h a r t e r S c h o o l M a l e S t u d e n t s 0.07* 43* 0.07 42
S t . L o u i s M a g n e t S c h o o l M a l e S t u d e n t s 0.36** 212** 0.34** 198**
S t . L o u i s O t h e r D i s t r i c t S c h o o l M a l e S t u d e n t s -0.06** -35** -0.1** -61**
Compared with Male Students in Other District Schools in
St. Louis
S t . L o u i s C h a r t e r S c h o o l M a l e S t u d e n t s 0.13** 78** 0.18** 103**
S t . L o u i s M a g n e t S c h o o l M a l e S t u d e n t s 0.42** 247** 0.44** 259**
45. Student Subgroup Analysis> Female Students
Significant at p < 0.05*
Significant at p < 0.01**
R E A D I N G M A T H
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
S t a n d a r d
D e v i a t i o n
D a y s o f
L e a r n i n g
Compared with Statewide Average of Female Students
S t . L o u i s F e m a l e S t u d e n t s O v e r a l l 0.01 3 0.01 2
S t . L o u i s C h a r t e r S c h o o l F e m a l e S t u d e n t s 0.06** 35** 0.10** 61**
S t . L o u i s M a g n e t S c h o o l F e m a l e S t u d e n t s 0.25** 146** 0.26** 150**
S t . L o u i s O t h e r D i s t r i c t S c h o o l F e m a l e S t u d e n t s -0.08** -45** -0.11** -65**
Compared with Female Students in Other District Schools
in St. Louis
S t . L o u i s C h a r t e r S c h o o l F e m a l e S t u d e n t s 0.14** 80** 0.21** 125**
S t . L o u i s M a g n e t S c h o o l F e m a l e S t u d e n t s 0.32** 191** 0.36** 214**