General Connection Information

CEDS elements are shown in bold/italicized font.

This metric is part of the Education-to-Workforce (E-W) Indicator Framework, specifically "E-W system conditions" which pertain to institutional or systemic environments, policies, and practices within E-W systems that support positive E-W outcomes https://educationtoworkforce.org/sites/default/files/2023-04/E-W-Indicator-Framework_ChapterII_Indicators-and-metrics.pdf

This metric is a measurement for a key indicator, "Grade point average" and measures to see if middle school students have earned the required course grades that demonstrate high school readiness.

Calculating a Response

Metric: Percentage of students between grades 6-8 that have a cumulative GPA of 3.0 or higher. 

Use the following CEDS elements to determine the school years for which the data will be measured:

• School Year = most recent school year, representing July 1 through June 30.

To determine the universe of students, pull all unique students which is determined by using a unique Student Identifier where Student Identification System = State

Where the student: 

• is associated with a State Education Agency through the State Agency Identifier where State Agency Identification System = SEA
• is associated with a Local Education Agency through the Local Education Agency Identifier where Local Education Agency Identification System = SEA
• is associated with a K12 school through the School Identifier where School Identification System = SEA 

From the universe of students, narrow the list to 6th - 8th graders using the following CEDS elements:  

• Entry Grade Level = 06, 07, and 08
• Enrollment Entry Date is ≤ July 1 of the school being reported, and  
• Enrollment Exit Date is ≥ June 30 of the school year being reported. 

Count the number of students that have a cumulative grade point average of 3.0 or higher: 

• Filter records where Grade Point Average Cumulative = 3.0 or higher

To determine the percentage of students between grades 6-8 that have a cumulative GPA of 3.0 or higher: 

• Divide the number of students with a cumulative GPA of 3.0 or higher by the total number of students. Multiply the result by 100.

Disaggregate by Home Language

Use the following CEDS element(s) to Disaggregate the final set of students by Home Language:

• Language Type = Home Language; and
• ISO 639-3 Language Code ≠ Eng; and/or
• English Learner Status = Yes

Disaggregate by Homelessness

Use the following CEDS element(s) to Disaggregate the final set of students by Homelessness:

• Homelessness Status = Yes
• Homeless Serviced Indicator = Yes
• Status Start Date ≤ the school year being reported
• Status End Date ≥ the school year being reported

Disaggregate by Race and Ethnicity

Use the following CEDS elements to disaggregate the final set of students by Race: 

Filter records where Hispanic or Latino Ethnicity = No.

Count, by race, where any of the following are true:

• Race = American Indian or Alaska Native 
• Race = Asian 
• Race = Black or African American 
• Race = Native Hawaiian or Other Pacific Islander 
• Race = White 
• Race = Demographic Race Two or More Races 
• Race = Race and Ethnicity Unknown 

Use the following CEDS elements to disaggregate the final set of students by Hispanic or Latino Ethnicity: 

• Filter records where Hispanic or Latino Ethnicity = Yes

Disaggregate by Sex

*Note: CEDS does not have a Gender element. While Sex is not a proxy for Gender it is the closest approximation currently available.

*Note: Male + Female will not always equal 100% for states that have more choices beyond male and female.

Use the following CEDS elements to disaggregate the final set of students by Sex: 

• Sex = Male, Female, or Not Selected

Disaggregate by Disability Status

Use the following CEDS element(s) to disaggregate the final set of students by Disability Status: 

Students with a Disability

• Disability Status = Yes; and/or
• Status Start Date ≤ the school year being reported
• Status End Date ≥ the school year being reported
• IDEA Indicator = Yes; and/or
• Section 504 Status = Yes

 Count, by disability type, where any of the following are true:

• IDEA Disability Type = Autism
• IDEA Disability Type = Deaf-blindness
• IDEA Disability Type = Deafness
• IDEA Disability Type = Developmental delay
• IDEA Disability Type = Emotional disturbance
• IDEA Disability Type = Hearing impairment
• IDEA Disability Type = Intellectual disability
• IDEA Disability Type = Multiple disabilities
• IDEA Disability Type = Orthopedic impairment
• IDEA Disability Type = Other health impairment
• IDEA Disability Type = Specific learning disability
• IDEA Disability Type = Traumatic brain injury
• IDEA Disability Type = Visual impairment

Filter records based on Primary Disability Type when IDEA Indicator = Yes 

• Program Participation Start Date < the school year being reported
• Program Participation Exit Date > the school year being reported

 Students without a Disability

• Disability Status =No; and
• Primary Disability Type is null; and
• IDEA Indicator = No; and
• Section 504 Status = No

Count the number of students with a disability and the number of students without a disability.  

For further analysis, disaggregate the students with a disability:?? 

Filter records where IDEA Indicator = Yes? 

• Program Participation Start Date < the school year being reported?
• Program Participation Exit Date > the school year being reported?? 

Count, by Primary Disability Type, where any of the following are true:?? 

• Primary Disability Type = Autism
• Primary Disability Type = Deaf blindness
• Primary Disability Type = Deafness
• Primary Disability Type = Developmental delay
• Primary Disability Type = Emotional disturbance
• Primary Disability Type = Hearing impairment
• Primary Disability Type = Intellectual disability
• Primary Disability Type = Multiple disabilities
• Primary Disability Type = Orthopedic impairment
• Primary Disability Type = Other health impairment
• Primary Disability Type = Specific learning disability
• Primary Disability Type = Traumatic brain injury
• Primary Disability Type = Visual Impairment

Disaggregate by Urbanicity

Use the following CEDS element to disaggregate the final set of students by Urbancity. 

• Rural Residency Status = Yes (indicating Rural) or No (indicating Urban)

Disaggregate by Parental Education Level

Use the following CEDS element(s) to disaggregate the final set of students by Parental Education Level:

• Highest Level of Education Completed = Determine what the highest level of education completed is for the parents/guardians of the student

Disaggregate by Migrant Family Household

Use the following CEDS element(s) to disaggregate the final set of students by migrant status:

• Migrant Status = Yes, No
• Program Participation Start Date ≤ the school year being reported
• Program Participation Exit Date ≥ the school year being reported

Disaggregate by English Learner

Use the following CEDS element(s) to disaggregate the final set of students by English Learner:

• English Learner Status = Yes, No
• Program Participation Start Date ≤ the school year being reported
• Program Participation Exit Date  ≥ the school year being reported

Disaggregate by School Type

Use the following CEDS element(s) to determine the school type for which the data are being measured

• Charter School Type = School Charter or College University or NA; and
• School Type = Regular, Special, Career and Technical, Alternative or Reportable
• Administrative Funding Control = Public School, Private School, or Other
• Organization Type = K12 School, Education Institution

Disaggregate by Age Group

Use the following CEDS element(s) to determine the age group for which the data are being measured:

• Birthdate =Age as of October 1 of the school year being reported

Disaggregate by Individuals or Family Military Status

Use the following CEDS element(s) to determine the individuals or family military status for which the data are being measured:

• Military Connected Student Indicator = Not Military, Active Duty, National Guard or Reserve, or Unknown

Disaggregate by Income Level

Use the following CEDS element(s) to determine the income level for which the data are being measured:

• Eligibility Status for School Food Service Programs = Free, Full price, Reduced price, Other
• Low-income Status = Yes, or No

Disaggregate by Justice Involvement

Use the following CEDS element(s) to determine the justice involvement for which the data are being measured:

• Disciplinary Action Taken = Juvenile Justice Referral, Law enforcement referral, or Placed in juvenile detention center
• Disciplinary Action Start Date < the school year being reported
• Disciplinary Action End Date > the school year being reported

Disaggregate by Individual with Current or Past Child Welfare Involvement

Use the following CEDS element(s) to determine the individual with current or past child welfare involvement for which the data are being measured:

• Program Type = 75000 (Foster Care)
• Student Support Service Type = 00295 (Children's protective services)
• Program Participation Start Date ≤ the school year being reported
• Program Participation Exit Date ≥ the school year being reported