Executive Solution Overview
. – ## db2026.docx – ## Addressing_Chronic_Student_Absenteeism-17589306639685302.pptx **## db2026.docx** Please see the syllabus for detailed directions and the rubric. This is an **_APA 7 formatted formal writing._** Be sure you adhere to those guidelines including cover page, running head, body…
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– ## db2026.docx
– ## Addressing_Chronic_Student_Absenteeism-17589306639685302.pptx
**## db2026.docx**
Please see the syllabus for detailed directions and the rubric. This is an
**_APA 7 formatted formal writing._** Be sure you adhere to those guidelines including cover page, running head, body of paper, references, etc.
All references should be cited (minimum of 1 per rubric, but you should have others based upon your research conducted). This should be a
minimum of 5 total pages including your title page. Please note the example provided may not adhere to these guidelines. It is more a point of reference on how to help your paper flow than an APA format guideline. This should be a WORD document. Google Docs will not be accepted.
**## Addressing_Chronic_Student_Absenteeism-17589306639685302.pptx**
Addressing Chronic Student Absenteeism: A Comprehensive Needs Analysis
Students name
Course Name
Institutional Affiliations
Lecturers Name
Date
The Problem
Chronic absenteeism reached about 31% in 2021-2022 and decreased to 28% in 2022-23, far exceeding pre-pandemic levels of 16%
Our school district shows 23% chronic absenteeism rate, significantly above state average but below national crisis levels
Students missing 10% or more of school days face serious implications for academic success and wellbeing
Research suggests children chronically absent between preschool and second grade are much less likely to read at grade level by third grade
Students chronically absent are four times more likely to not graduate from high school
Problem Statement: How can we systematically reduce chronic absenteeism through targeted, evidence-based interventions that address root causes and improve student engagement, attendance, and academic outcomes?
Hunches and Hypotheses
Transportation Barriers: Limited public transit access and family vehicle availability creating attendance obstacles
Health-Related Challenges: Student and family health challenges as significant drivers including untreated medical and mental health conditions
Socioeconomic Factors: Student disengagement and lack of access to student and family supports affecting regular attendance
School Climate Issues: Students feeling unwelcome, unsafe, or disconnected from school community and academic activities
Family Circumstances: Work schedule conflicts, childcare responsibilities, and varying cultural attitudes toward educational priorities
Academic Struggles: Students avoiding school due to fear of failure, academic frustration, or feeling behind in coursework Note: Hypotheses developed through individual analysis of attendance patterns and research literature
Identify Questions and Data
Attendance Patterns: What demographic groups show highest chronic absenteeism rates and during which time periods?
Academic Correlation: How do attendance rates correlate with Math and ELA proficiency scores across grade levels?
Root Cause Analysis: What specific barriers prevent students and families from maintaining regular school attendance?
Intervention Effectiveness: Which current school policies and support systems show greatest impact on attendance improvement?
Family Perspectives: What do parents and guardians identify as primary obstacles to consistent school attendance?
Schoolwide Impact: How does high chronic absenteeism affect academic achievement for all students in affected classrooms and schools?
Analysis of Multiple Measures
Bernhardt Level 1 – Demographics: Student population characteristics including socioeconomic status, race/ethnicity, special education status, and English learner classification
Bernhardt Level 2 – Student Learning: Standardized assessment scores, course grades, and academic progress indicators correlated with attendance data
Quantitative Data Sources: Three-year attendance records, state assessment results, demographic enrollment data, and intervention tracking systems
Qualitative Data Sources: Family surveys, student focus groups, teacher observations, and case studies of chronically absent students
Longitudinal Analysis: Multi-year trend examination to identify patterns, seasonal variations, and intervention impact measurement
Comparative Benchmarking: School performance against district, state, and national chronic absenteeism rates and academic achievement standards
Key Quantitative Findings
Overall Rates: 23% chronic absenteeism vs 16% state average, with 14.7 million students nationwide chronically absent
Demographic Disparities: Hispanic students 28%, African American 31%, Special Education 35%, compared to White students 18%
Grade Level Patterns: Highest rates in 9th grade (27%) and 6th grade (24%), with kindergarten showing elevated rates
Academic Impact: Schools with 10-day average absenteeism show below 20% proficiency in Math and ELA
Timing Trends: Peak absence rates on Mondays (18%) and Fridays (16%), with seasonal spikes in October-November
Achievement Correlation: Eighth grade absences eight times more predictive of freshman course failure than test scores
Qualitative Findings and Impact Analysis
Student Feedback: 42% report feeling disconnected from school community, citing lack of meaningful relationships with adults
Family Barriers: Transportation issues (31%), work schedule conflicts (28%), health-related absences (24%), housing instability
Teacher Concerns: Difficulty re-engaging absent students, constant re-teaching disrupting classroom instruction and pacing
Schoolwide Effects: High chronic absence creates classroom churn, disrupting learning for regularly attending students
Health Access: Limited school health services, families avoiding medical care due to cost or transportation barriers
Success Indicators: Students with strong adult mentoring relationships show 15% improvement in attendance rates
Political Realities and Root Causes
Socioeconomic Challenges: 68% of chronically absent students qualify for free/reduced lunch, indicating poverty as major factor
Housing Instability: 15% of chronic absentees changed addresses during school year, disrupting educational continuity
Transportation Infrastructure: Rural route limitations and urban transit gaps creating systematic barriers to school access
Healthcare System: Limited insurance coverage, clinic hours, and school-based health services affecting medical-related absences
Legal Framework: Inconsistent truancy law enforcement focusing on punishment rather than support and intervention strategies
Community Resources: Insufficient wraparound services, after-school programs, and family support systems in high-need areas Source: Individual analysis using district data, community resource mapping, and family needs assessments
Action Plan
Implement Early Warning System: Deploy EWIMS by October 2025 with principal and counselors responsible, requiring data system upgrades and staff training
Family Needs Assessment: Conduct comprehensive surveys for students with 5+ absences by November 2025, led by family liaison and social worker
Community Partnerships: Establish healthcare and transportation partnerships by December 2025, coordinated by principal with community outreach resources
Text Messaging Initiative: Launch adaptive family communication system by January 2026, managed by attendance clerk with district technology support
Peer Mentorship Program: Connect chronically absent students with mentors by February 2026, supervised by counselors using existing staff time
School-Based Health Services: Establish extended-hour clinic by August 2026, requiring nurse practitioner hire and healthcare partnerships
Evaluation Methods: Monthly attendance data analysis, quarterly family satisfaction surveys, and annual academic correlation studies
References
Bailes, L. P., May, H., & Riser, D. (2025). Absenteeism and achievement in early elementary grades: A multilevel organizational analysis. Attendance Works. https://www.attendanceworks.org/new-research-schoolwide-chronic-absence-affects-all-students/
U.S. Department of Education. (2025). Chronic absenteeism. https://www.ed.gov/teaching-and-administration/supporting-students/chronic-absenteeism
## image1.jpeg
## image2.jpeg
**## Addressing_Chronic_Student_Absenteeism-17589306639685302.pptx**
Addressing Chronic Student Absenteeism: A Comprehensive Needs Analysis
Students name
Course Name
Institutional Affiliations
Lecturers Name
Date
The Problem
Chronic absenteeism reached about 31% in 2021-2022 and decreased to 28% in 2022-23, far exceeding pre-pandemic levels of 16%
Our school district shows 23% chronic absenteeism rate, significantly above state average but below national crisis levels
Students missing 10% or more of school days face serious implications for academic success and wellbeing
Research suggests children chronically absent between preschool and second grade are much less likely to read at grade level by third grade
Students chronically absent are four times more likely to not graduate from high school
Problem Statement: How can we systematically reduce chronic absenteeism through targeted, evidence-based interventions that address root causes and improve student engagement, attendance, and academic outcomes?
Hunches and Hypotheses
Transportation Barriers: Limited public transit access and family vehicle availability creating attendance obstacles
Health-Related Challenges: Student and family health challenges as significant drivers including untreated medical and mental health conditions
Socioeconomic Factors: Student disengagement and lack of access to student and family supports affecting regular attendance
School Climate Issues: Students feeling unwelcome, unsafe, or disconnected from school community and academic activities
Family Circumstances: Work schedule conflicts, childcare responsibilities, and varying cultural attitudes toward educational priorities
Academic Struggles: Students avoiding school due to fear of failure, academic frustration, or feeling behind in coursework Note: Hypotheses developed through individual analysis of attendance patterns and research literature
Identify Questions and Data
Attendance Patterns: What demographic groups show highest chronic absenteeism rates and during which time periods?
Academic Correlation: How do attendance rates correlate with Math and ELA proficiency scores across grade levels?
Root Cause Analysis: What specific barriers prevent students and families from maintaining regular school attendance?
Intervention Effectiveness: Which current school policies and support systems show greatest impact on attendance improvement?
Family Perspectives: What do parents and guardians identify as primary obstacles to consistent school attendance?
Schoolwide Impact: How does high chronic absenteeism affect academic achievement for all students in affected classrooms and schools?
Analysis of Multiple Measures
Bernhardt Level 1 – Demographics: Student population characteristics including socioeconomic status, race/ethnicity, special education status, and English learner classification
Bernhardt Level 2 – Student Learning: Standardized assessment scores, course grades, and academic progress indicators correlated with attendance data
Quantitative Data Sources: Three-year attendance records, state assessment results, demographic enrollment data, and intervention tracking systems
Qualitative Data Sources: Family surveys, student focus groups, teacher observations, and case studies of chronically absent students
Longitudinal Analysis: Multi-year trend examination to identify patterns, seasonal variations, and intervention impact measurement
Comparative Benchmarking: School performance against district, state, and national chronic absenteeism rates and academic achievement standards
Key Quantitative Findings
Overall Rates: 23% chronic absenteeism vs 16% state average, with 14.7 million students nationwide chronically absent
Demographic Disparities: Hispanic students 28%, African American 31%, Special Education 35%, compared to White students 18%
Grade Level Patterns: Highest rates in 9th grade (27%) and 6th grade (24%), with kindergarten showing elevated rates
Academic Impact: Schools with 10-day average absenteeism show below 20% proficiency in Math and ELA
Timing Trends: Peak absence rates on Mondays (18%) and Fridays (16%), with seasonal spikes in October-November
Achievement Correlation: Eighth grade absences eight times more predictive of freshman course failure than test scores
Qualitative Findings and Impact Analysis
Student Feedback: 42% report feeling disconnected from school community, citing lack of meaningful relationships with adults
Family Barriers: Transportation issues (31%), work schedule conflicts (28%), health-related absences (24%), housing instability
Teacher Concerns: Difficulty re-engaging absent students, constant re-teaching disrupting classroom instruction and pacing
Schoolwide Effects: High chronic absence creates classroom churn, disrupting learning for regularly attending students
Health Access: Limited school health services, families avoiding medical care due to cost or transportation barriers
Success Indicators: Students with strong adult mentoring relationships show 15% improvement in attendance rates
Political Realities and Root Causes
Socioeconomic Challenges: 68% of chronically absent students qualify for free/reduced lunch, indicating poverty as major factor
Housing Instability: 15% of chronic absentees changed addresses during school year, disrupting educational continuity
Transportation Infrastructure: Rural route limitations and urban transit gaps creating systematic barriers to school access
Healthcare System: Limited insurance coverage, clinic hours, and school-based health services affecting medical-related absences
Legal Framework: Inconsistent truancy law enforcement focusing on punishment rather than support and intervention strategies
Community Resources: Insufficient wraparound services, after-school programs, and family support systems in high-need areas Source: Individual analysis using district data, community resource mapping, and family needs assessments
Action Plan
Implement Early Warning System: Deploy EWIMS by October 2025 with principal and counselors responsible, requiring data system upgrades and staff training
Family Needs Assessment: Conduct comprehensive surveys for students with 5+ absences by November 2025, led by family liaison and social worker
Community Partnerships: Establish healthcare and transportation partnerships by December 2025, coordinated by principal with community outreach resources
Text Messaging Initiative: Launch adaptive family communication system by January 2026, managed by attendance clerk with district technology support
Peer Mentorship Program: Connect chronically absent students with mentors by February 2026, supervised by counselors using existing staff time
School-Based Health Services: Establish extended-hour clinic by August 2026, requiring nurse practitioner hire and healthcare partnerships
Evaluation Methods: Monthly attendance data analysis, quarterly family satisfaction surveys, and annual academic correlation studies
References
Bailes, L. P., May, H., & Riser, D. (2025). Absenteeism and achievement in early elementary grades: A multilevel organizational analysis. Attendance Works. https://www.attendanceworks.org/new-research-schoolwide-chronic-absence-affects-all-students/
U.S. Department of Education. (2025). Chronic absenteeism. https://www.ed.gov/teaching-and-administration/supporting-students/chronic-absenteeism
## image1.jpeg
## image2.jpeg
**## db2026.docx**
Please see the syllabus for detailed directions and the rubric. This is an
**_APA 7 formatted formal writing._** Be sure you adhere to those guidelines including cover page, running head, body of paper, references, etc.
All references should be cited (minimum of 1 per rubric, but you should have others based upon your research conducted). This should be a
minimum of 5 total pages including your title page. Please note the example provided may not adhere to these guidelines. It is more a point of reference on how to help your paper flow than an APA format guideline. This should be a WORD document. Google Docs will not be accepted.
**## Addressing_Chronic_Student_Absenteeism-17589306639685302.pptx**
Addressing Chronic Student Absenteeism: A Comprehensive Needs Analysis
Students name
Course Name
Institutional Affiliations
Lecturers Name
Date
The Problem
Chronic absenteeism reached about 31% in 2021-2022 and decreased to 28% in 2022-23, far exceeding pre-pandemic levels of 16%
Our school district shows 23% chronic absenteeism rate, significantly above state average but below national crisis levels
Students missing 10% or more of school days face serious implications for academic success and wellbeing
Research suggests children chronically absent between preschool and second grade are much less likely to read at grade level by third grade
Students chronically absent are four times more likely to not graduate from high school
Problem Statement: How can we systematically reduce chronic absenteeism through targeted, evidence-based interventions that address root causes and improve student engagement, attendance, and academic outcomes?
Hunches and Hypotheses
Transportation Barriers: Limited public transit access and family vehicle availability creating attendance obstacles
Health-Related Challenges: Student and family health challenges as significant drivers including untreated medical and mental health conditions
Socioeconomic Factors: Student disengagement and lack of access to student and family supports affecting regular attendance
School Climate Issues: Students feeling unwelcome, unsafe, or disconnected from school community and academic activities
Family Circumstances: Work schedule conflicts, childcare responsibilities, and varying cultural attitudes toward educational priorities
Academic Struggles: Students avoiding school due to fear of failure, academic frustration, or feeling behind in coursework Note: Hypotheses developed through individual analysis of attendance patterns and research literature
Identify Questions and Data
Attendance Patterns: What demographic groups show highest chronic absenteeism rates and during which time periods?
Academic Correlation: How do attendance rates correlate with Math and ELA proficiency scores across grade levels?
Root Cause Analysis: What specific barriers prevent students and families from maintaining regular school attendance?
Intervention Effectiveness: Which current school policies and support systems show greatest impact on attendance improvement?
Family Perspectives: What do parents and guardians identify as primary obstacles to consistent school attendance?
Schoolwide Impact: How does high chronic absenteeism affect academic achievement for all students in affected classrooms and schools?
Analysis of Multiple Measures
Bernhardt Level 1 – Demographics: Student population characteristics including socioeconomic status, race/ethnicity, special education status, and English learner classification
Bernhardt Level 2 – Student Learning: Standardized assessment scores, course grades, and academic progress indicators correlated with attendance data
Quantitative Data Sources: Three-year attendance records, state assessment results, demographic enrollment data, and intervention tracking systems
Qualitative Data Sources: Family surveys, student focus groups, teacher observations, and case studies of chronically absent students
Longitudinal Analysis: Multi-year trend examination to identify patterns, seasonal variations, and intervention impact measurement
Comparative Benchmarking: School performance against district, state, and national chronic absenteeism rates and academic achievement standards
Key Quantitative Findings
Overall Rates: 23% chronic absenteeism vs 16% state average, with 14.7 million students nationwide chronically absent
Demographic Disparities: Hispanic students 28%, African American 31%, Special Education 35%, compared to White students 18%
Grade Level Patterns: Highest rates in 9th grade (27%) and 6th grade (24%), with kindergarten showing elevated rates
Academic Impact: Schools with 10-day average absenteeism show below 20% proficiency in Math and ELA
Timing Trends: Peak absence rates on Mondays (18%) and Fridays (16%), with seasonal spikes in October-November
Achievement Correlation: Eighth grade absences eight times more predictive of freshman course failure than test scores
Qualitative Findings and Impact Analysis
Student Feedback: 42% report feeling disconnected from school community, citing lack of meaningful relationships with adults
Family Barriers: Transportation issues (31%), work schedule conflicts (28%), health-related absences (24%), housing instability
Teacher Concerns: Difficulty re-engaging absent students, constant re-teaching disrupting classroom instruction and pacing
Schoolwide Effects: High chronic absence creates classroom churn, disrupting learning for regularly attending students
Health Access: Limited school health services, families avoiding medical care due to cost or transportation barriers
Success Indicators: Students with strong adult mentoring relationships show 15% improvement in attendance rates
Political Realities and Root Causes
Socioeconomic Challenges: 68% of chronically absent students qualify for free/reduced lunch, indicating poverty as major factor
Housing Instability: 15% of chronic absentees changed addresses during school year, disrupting educational continuity
Transportation Infrastructure: Rural route limitations and urban transit gaps creating systematic barriers to school access
Healthcare System: Limited insurance coverage, clinic hours, and school-based health services affecting medical-related absences
Legal Framework: Inconsistent truancy law enforcement focusing on punishment rather than support and intervention strategies
Community Resources: Insufficient wraparound services, after-school programs, and family support systems in high-need areas Source: Individual analysis using district data, community resource mapping, and family needs assessments
Action Plan
Implement Early Warning System: Deploy EWIMS by October 2025 with principal and counselors responsible, requiring data system upgrades and staff training
Family Needs Assessment: Conduct comprehensive surveys for students with 5+ absences by November 2025, led by family liaison and social worker
Community Partnerships: Establish healthcare and transportation partnerships by December 2025, coordinated by principal with community outreach resources
Text Messaging Initiative: Launch adaptive family communication system by January 2026, managed by attendance clerk with district technology support
Peer Mentorship Program: Connect chronically absent students with mentors by February 2026, supervised by counselors using existing staff time
School-Based Health Services: Establish extended-hour clinic by August 2026, requiring nurse practitioner hire and healthcare partnerships
Evaluation Methods: Monthly attendance data analysis, quarterly family satisfaction surveys, and annual academic correlation studies
References
Bailes, L. P., May, H., & Riser, D. (2025). Absenteeism and achievement in early elementary grades: A multilevel organizational analysis. Attendance Works. https://www.attendanceworks.org/new-research-schoolwide-chronic-absence-affects-all-students/
U.S. Department of Education. (2025). Chronic absenteeism. https://www.ed.gov/teaching-and-administration/supporting-students/chronic-absenteeism
## image1.jpeg
## image2.jpeg
**## db2026.docx**
Please see the syllabus for detailed directions and the rubric. This is an
**_APA 7 formatted formal writing._** Be sure you adhere to those guidelines including cover page, running head, body of paper, references, etc.
All references should be cited (minimum of 1 per rubric, but you should have others based upon your research conducted). This should be a
minimum of 5 total pages including your title page. Please note the example provided may not adhere to these guidelines. It is more a point of reference on how to help your paper flow than an APA format guideline. This should be a WORD document. Google Docs will not be accepted.
**## Addressing_Chronic_Student_Absenteeism-17589306639685302.pptx**
Addressing Chronic Student Absenteeism: A Comprehensive Needs Analysis
Students name
Course Name
Institutional Affiliations
Lecturers Name
Date
The Problem
Chronic absenteeism reached about 31% in 2021-2022 and decreased to 28% in 2022-23, far exceeding pre-pandemic levels of 16%
Our school district shows 23% chronic absenteeism rate, significantly above state average but below national crisis levels
Students missing 10% or more of school days face serious implications for academic success and wellbeing
Research suggests children chronically absent between preschool and second grade are much less likely to read at grade level by third grade
Students chronically absent are four times more likely to not graduate from high school
Problem Statement: How can we systematically reduce chronic absenteeism through targeted, evidence-based interventions that address root causes and improve student engagement, attendance, and academic outcomes?
Hunches and Hypotheses
Transportation Barriers: Limited public transit access and family vehicle availability creating attendance obstacles
Health-Related Challenges: Student and family health challenges as significant drivers including untreated medical and mental health conditions
Socioeconomic Factors: Student disengagement and lack of access to student and family supports affecting regular attendance
School Climate Issues: Students feeling unwelcome, unsafe, or disconnected from school community and academic activities
Family Circumstances: Work schedule conflicts, childcare responsibilities, and varying cultural attitudes toward educational priorities
Academic Struggles: Students avoiding school due to fear of failure, academic frustration, or feeling behind in coursework Note: Hypotheses developed through individual analysis of attendance patterns and research literature
Identify Questions and Data
Attendance Patterns: What demographic groups show highest chronic absenteeism rates and during which time periods?
Academic Correlation: How do attendance rates correlate with Math and ELA proficiency scores across grade levels?
Root Cause Analysis: What specific barriers prevent students and families from maintaining regular school attendance?
Intervention Effectiveness: Which current school policies and support systems show greatest impact on attendance improvement?
Family Perspectives: What do parents and guardians identify as primary obstacles to consistent school attendance?
Schoolwide Impact: How does high chronic absenteeism affect academic achievement for all students in affected classrooms and schools?
Analysis of Multiple Measures
Bernhardt Level 1 – Demographics: Student population characteristics including socioeconomic status, race/ethnicity, special education status, and English learner classification
Bernhardt Level 2 – Student Learning: Standardized assessment scores, course grades, and academic progress indicators correlated with attendance data
Quantitative Data Sources: Three-year attendance records, state assessment results, demographic enrollment data, and intervention tracking systems
Qualitative Data Sources: Family surveys, student focus groups, teacher observations, and case studies of chronically absent students
Longitudinal Analysis: Multi-year trend examination to identify patterns, seasonal variations, and intervention impact measurement
Comparative Benchmarking: School performance against district, state, and national chronic absenteeism rates and academic achievement standards
Key Quantitative Findings
Overall Rates: 23% chronic absenteeism vs 16% state average, with 14.7 million students nationwide chronically absent
Demographic Disparities: Hispanic students 28%, African American 31%, Special Education 35%, compared to White students 18%
Grade Level Patterns: Highest rates in 9th grade (27%) and 6th grade (24%), with kindergarten showing elevated rates
Academic Impact: Schools with 10-day average absenteeism show below 20% proficiency in Math and ELA
Timing Trends: Peak absence rates on Mondays (18%) and Fridays (16%), with seasonal spikes in October-November
Achievement Correlation: Eighth grade absences eight times more predictive of freshman course failure than test scores
Qualitative Findings and Impact Analysis
Student Feedback: 42% report feeling disconnected from school community, citing lack of meaningful relationships with adults
Family Barriers: Transportation issues (31%), work schedule conflicts (28%), health-related absences (24%), housing instability
Teacher Concerns: Difficulty re-engaging absent students, constant re-teaching disrupting classroom instruction and pacing
Schoolwide Effects: High chronic absence creates classroom churn, disrupting learning for regularly attending students
Health Access: Limited school health services, families avoiding medical care due to cost or transportation barriers
Success Indicators: Students with strong adult mentoring relationships show 15% improvement in attendance rates
Political Realities and Root Causes
Socioeconomic Challenges: 68% of chronically absent students qualify for free/reduced lunch, indicating poverty as major factor
Housing Instability: 15% of chronic absentees changed addresses during school year, disrupting educational continuity
Transportation Infrastructure: Rural route limitations and urban transit gaps creating systematic barriers to school access
Healthcare System: Limited insurance coverage, clinic hours, and school-based health services affecting medical-related absences
Legal Framework: Inconsistent truancy law enforcement focusing on punishment rather than support and intervention strategies
Community Resources: Insufficient wraparound services, after-school programs, and family support systems in high-need areas Source: Individual analysis using district data, community resource mapping, and family needs assessments
Action Plan
Implement Early Warning System: Deploy EWIMS by October 2025 with principal and counselors responsible, requiring data system upgrades and staff training
Family Needs Assessment: Conduct comprehensive surveys for students with 5+ absences by November 2025, led by family liaison and social worker
Community Partnerships: Establish healthcare and transportation partnerships by December 2025, coordinated by principal with community outreach resources
Text Messaging Initiative: Launch adaptive family communication system by January 2026, managed by attendance clerk with district technology support
Peer Mentorship Program: Connect chronically absent students with mentors by February 2026, supervised by counselors using existing staff time
School-Based Health Services: Establish extended-hour clinic by August 2026, requiring nurse practitioner hire and healthcare partnerships
Evaluation Methods: Monthly attendance data analysis, quarterly family satisfaction surveys, and annual academic correlation studies
References
Bailes, L. P., May, H., & Riser, D. (2025). Absenteeism and achievement in early elementary grades: A multilevel organizational analysis. Attendance Works. https://www.attendanceworks.org/new-research-schoolwide-chronic-absence-affects-all-students/
U.S. Department of Education. (2025). Chronic absenteeism. https://www.ed.gov/teaching-and-administration/supporting-students/chronic-absenteeism
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## image2.jpeg
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