General Connection Information
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CEDS elements are shown in bold/italicized font.
This metric is part of the Education-to-Workforce (E-W) Indicator Framework, specifically "Outcomes and milestones" which pertain to key outcomes and milestones along the E-W continuum that are strongly associated with individuals achieving economic mobility and security.
This metric is a measurement for a key indicator, "Developmental Progress: Cognition," and measures whether children develop and demonstrate progress toward foundational math and scientific reasoning skills.
Calculating a Response
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Metric: Percentage of children meeting benchmarks on a teacher- or parent-observed developmental assessment, such as:
- Desired Results Developmental Profile (DRDP) Cognition domain
- Ready 4 Kindergarten Early Learning Assessment (R4K ELA) Mathematics and Science Domain
- Teaching Strategies GOLD (TS GOLD) Cognitive and Mathematics subscales
Use the following CEDS elements to determine the year for which the data will be measured:
1. Early Learning Program Year = most recent early learning program year, representing July 1 through June 30
Use the following CEDS elements to determine the universe of children:
1. Pull all unique children which is determined by using a unique Child Identifier where Child Identification System = State
2. Where the child:
- is associated with a State Education Agency through the State Agency Identifier where State Agency Identification System = State
- 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 (or) is associated with an organization through the Organization Identifier where Organization Identification System = Other. (If your state's early learning systems are not associated with public schools, use Organization Identifier.)
From the universe of children, narrow the list to identify which children are meeting benchmarks on a teacher- or parent-observed developmental readiness assessment using the following CEDS elements:
1. Assessment Identifier or Assessment Short Name =
- Desired Results Developmental Profile (DRDP) Cognition domain
- Ready 4 Kindergarten Early Learning Assessment (R4K ELA) Mathematics and Science domain
- Teaching Strategies GOLD (TS GOLD) Cognitive and Mathematics subscales
2. Assessment Administration Finish Date is within the Early Learning Program Year
3. Assessment Early Learning Developmental Domain = Cognition and General Knowledge (02)
4. Assessment Type = Developmental observation, Kindergarten Readiness, Observation
5. Assessment Result Score Value ≥ minimum score to meet benchmarks
6. Assessment Administrator = Teacher and/or parent
7. Developmental Evaluation Finding = None or No delay detected
Divide the number of children that meet benchmarks on a teacher- or parent-observed developmental readiness assessment by the total number of children then multiply by 100.
Disaggregate by Home Language
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Use the following CEDS element(s) to disaggregate the final set of students by Home Language:
1. Language Type = Home Language, and
2. ISO 639-3 Language Code is not like English, and/or
3. English Learner Status = Yes
Disaggregate by Race and Ethnicity
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Use the following CEDS elements to disaggregate the final set of students by Race and Ethnicity:
1. Filter records where Hispanic or Latino Ethnicity = No
2. Count, by race, where any of the following are true:
a. Race = American Indian or Alaska Native
b. Race = Asian
c. Race = Black or African American
d. Race = Native American or Other Pacific Islander
e. Race = White
f. Race = Demographic Race Two or More Races
g. Race = Race and Ethnicity Unknown
Use the following CEDS element to disaggregate the final set of students by Hispanic or Latino Ethnicity:
1. Filter records where Hispanic or Latino Ethnicity - Yes
Disaggregate by Sex
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* Note: CEDS does not have a Gender element. While Sex is not a proxy for Generate, 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:
1. Sex = Male, Female, or Not Selected
Disaggregate by Disability Status
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A. Determine if there is a disability:
Student with a Disability: A student has a disability if any of the following are true:
1. Disability Status = Yes, No, and
2. IDEA Indicator = Yes, and/or
a. Program Participation Start Date ≤ the school year being reported
b. Program Participation Exit Date ≥ the school year being reported
3. Section 504 Status = Yes
a. Status Start Date ≤ Enrollment Entry Date
b. Status End Date is null or ≥ Enrollment Exit Date
Student Without a Disability: A student does not have a disability if all of the following are true:
1. Disability Status = No, and
2. Primary Disability Type is null, and
3. IDEA Indicator = No, and
4. Section 504 Status = No
B. Count the number of students with a disability and the number of students without a disability.
C. For further analysis, disaggregate the students with a disability:
1. Filter records where IDEA Indicator = Yes
a. Program Participation Start Date ≤ the school year being reported
b. Program Participation Exit Date ≥ the school year being reported
2. Count, by primary disability type, where any of the following are true:
a. Primary Disability Type = Autism
b. Primary Disability Type = Deaf-blindness
c. Primary Disability Type = Deafness
d. Primary Disability Type = Developmental delay
e. Primary Disability Type = Emotional disturbance
f. Primary Disability Type = Hearing impairment
g. Primary Disability Type = Intellectual disability
h. Primary Disability Type = Multiple disabilities
i. Primary Disability Type = Orthopedic impairment
j. Primary Disability Type = Other health impairment
k. Primary Disability Type = Specific learning disability
l. Primary Disability Type = Traumatic brain injury
m. Primary Disability Type = Visual impairment
Disaggregate by Urbanicity
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Use the following CEDS elements to disaggregate the final set of students by Urbanicity
*Note: Urbanicity is meant to identify the school's location, not the student's residence.
1. Rural Residency Status = Yes (indicator rural) or No (indicating urban)
Disaggregate by Parental Education Level
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Use the following CEDS element to disaggregate the final set of students by Parental Education Level:
1. Highest Level of Education Completed = Determine what the highest level of education completed is for the parents/guardians of the student.
Disaggregate by Student from Migrant Family Household
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Use the following CEDS elements to disaggregate the final set of students by migrant status:
1. Migrant Status = Yes, No
2. Program Participation Start Date ≤ the school year being reported
3. Program Participation Exit Date ≥ the school year being reported
Disaggregate by English Learner
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Use the following CEDS elements to disaggregate the final set of students by English Learner:
1. English Learner Status = Yes, No
2. Program Participation Start Date ≤ the school year being reported
3. Program Participation Exit Date ≥ the school year being reported
Disaggregate by Attendance Intensity
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Use the following CEDS element to disaggregate the final set of students by Attendance Intensity:
1. Early Learning Enrollment Status = Half-day pre-K, Full-day pre-K
Disaggregate by Age Group
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Use the following CEDS element to disaggregate the final set of students by Age Group:
1. Birthdate = Age as of October 1 of the school year being reported
Disaggregate by Income Level
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Use the following CEDS elements to disaggregate the final set of students by Income Level:
1. Eligibility Status for School Food Service Programs = Free, Full price, Reduced price, Other
2. Low-income Status = Yes, or No
3. Family Income
4. Income Calculation Method = Head Start Calculation or State Specific Calculation
Disaggregate by Individual or Family Military Status
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Use the following CEDS elements to disaggregate the final set of students by Individual or Family Military Status:
1. Military Connected Student Indicator = Not Military, Active Duty, National Guard or Reserve, or Unknown
Disaggregate by Individual with Current or Past Child Welfare Involvement
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Use the following CEDS elements to disaggregate the final set of students by Individual with Current or Past Child Welfare Involvement:
1. Program Type = 75000 (Foster Care)
2. Student Support Service Type = 00295 (Children's Protective Services)
3. Program Participation Start Date ≤ the school year being reported
4. Program Participation Exit Date ≥ the school year being reported
Disaggregate by Homelessness
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Use the following CEDS elements to disaggregate the final set of students by Homelessness:
1. Homelessness Status = Yes, No
2. Status Start Date ≤ the school year being reported
3. Status End Date ≥ the school year being reported