IES Blog

The Common Core of Data (CCD) contains basic information on public elementary and secondary schools, local education agencies (LEAs), and state education agencies (SEAs) in the United States. The CCD collects fiscal and nonfiscal data about all public schools, public school districts, and state education agencies in the United States. Both IPEDS and CCD provide a sampling frame to many survey collections, including many conducted by NCES and the Department of Education. This blog post, one in a series of posts about CCD nonfiscal data, focuses on CCD’s two major releases and their corresponding components. For information on how to access and use CCD data, read the blog post Accessing the Common Core of Data (CCD).
 

Data Releases

CCD nonfiscal data are published in two releases every school year—as preliminary files and as provisional data files—within the CCD Data File tool. Understanding the differences between the two releases is important to understand how CCD nonfiscal data are released.

• The preliminary files contain basic information about schools and districts, such as name, address, phone number, status, and NCES ID number. Many schools and districts utilize information from the directory file, such as the NCES ID, to apply for grants or other opportunities for their schools. Therefore, it is important that these files are released first, even if the data are still preliminary. 
   
• The provisional data files are the full release of the CCD nonfiscal data. These data files provide school-, district-, and state-level data on topics like enrollment, staffing, and free or reduced-price lunch. These files are much more detailed and include data that are broken down by characteristics such as grade, race/ethnicity, and gender—as well as by combinations of these characteristics. These files are not updated unless there is a significant change to the data.

Each file release includes a version that indicates the type of release. The first preliminary files have “0a” in the file names, and revised preliminary files include “0b,” “0c,” and so on. The first provisional files have “1a,” in the file names, and revised provisional files include “1b,” “1c,” and so on. Note, however, that releasing revised files is rare.
 

Components of a Release

It is important to utilize the various components that accompany each release to find additional information that is specific to the file and can help you better understand the data. In addition, there are other resources available that provide more ways to access and understand the data.
 

Documentation Components

Every data file will have documentation files that provide information about the data. These include the following:

• release notes—basic information about the data release, including details about any changes to the files, such as a change in a variable’s description or a variable that was added to the file; summary tables that include national totals and tables with selected frequencies are also included.
   
• state data notes—information on data anomalies that are discovered during NCES’s collaboration with the states; broken down by state and by file type, these notes describe things like changes to how data were collected by the state.
   
• companion files—included in each data file component, these files include a list of all the variables in the data file—including a brief description—and frequency tables; you should start with the companion files to better understand what variables are in each data file.

Resources and Tools

Along with the release of the CCD nonfiscal data files, additional resources are also updated to improve access to the data.

• Summary Tables: Released with the provisional data files, Summary Tables provide a national-level look at the data. These tables show the operational status of schools and districts by type as well as the number of schools, students, and teachers by state.
   
• Locators and ElSi: There are two primary tools that can be used to access CCD data: the Locators (School Locator and District Locator) and the Elementary/Secondary Information System (ElSi). These tools are updated as the data files are released. The Locators are updated with each release, while ElSi is updated with the release of the provisional data files. Learn more about these tools.
   
• Online Documentation: The online documentation provides some general information about CCD. This information is not year specific, but it provides a detailed explanation about how the data are collected, processed, and reviewed.

• Reference Library: The reference library includes detailed documentation on various components of the CCD files that applies to multiple years, levels, and components of the data collection. The library includes crosswalks, documentation describing changes to the collection, and guidance for utilizing the data files, such as how to aggregate free or reduced-price lunch data.

Be sure to follow NCES on Twitter, Facebook, LinkedIn, and YouTube and subscribe to the NCES News Flash to stay up-to-date on future CCD releases and resources.

By Patrick Keaton, NCES

Mental Health Awareness Month was established in May of 1949 to increase awareness of the importance of mental health and wellness in Americans’ lives and to celebrate improvements in mental health treatment. Nearly 75 years later as we honor mental health awareness in this country, we are confronted with an alarming rise in mental health needs among America’s youth that the U.S. Surgeon General advises could be helped in part with school-based prevention and intervention supports.

One approach to school-based mental health is being tested in an IES-funded efficacy replication study called School Adolescent Mood Project: Efficacy of IPT-AST in Schools. This project is being led by Dr. Jami Young, associate chair of research in the Department of Child and Adolescent Psychiatry and Behavioral Sciences, faculty member in the PolicyLab at the Children’s Hospital of Philadelphia (CHOP), and professor of psychiatry at the University of Pennsylvania Perelman School of Medicine. Dr. Young was interviewed by Rebecca Sun, IES Intern, to help us learn more about conditions on the ground in her study and how telehealth-delivered Interpersonal Psychotherapy-Adolescent Skills Training (IPT-AST) is working in these schools.

Tell us about the schools you are working in and the different mental health needs you are seeing. How do you think the pandemic influenced what you are seeing now? 

In the School Adolescent Mood Project (SAM project), we have been working closely with 16 schools in Pennsylvania and New Jersey that serve 9^th and 10^th grade students. Over the past three years, what we are seeing in these 16 schools is very different than what we are used to seeing in our past two decades of school-based depression prevention work. Compared to our earlier studies (see this one for example), in the current SAM project, the rate of teens with elevated scores on our depression screening has more than doubled, as has the percentage of students with scores indicating more significant depression.

The increases we have seen in the SAM project mirror increases in depression and anxiety that have been reported by others during the pandemic, including the most recent findings reported by the CDC. Our still unpublished screening data from the SAM project suggest that there are a substantial number of adolescents who are experiencing mental health difficulties and would benefit from services in schools and/or the community. There is much work that needs to be done, including increases in funding and workforce expansion, to grow and sustain school-based services to support these students. Additionally, establishing connections between schools and mental health agencies is essential, so students who need more intensive services can receive timely care.

What do the youth in your study say are their biggest concerns? 

We are seeing many adolescents who are reporting significant issues with depression and anxiety. Unfortunately, we have also seen an increase in adolescents who report suicidal thoughts and behaviors. The pandemic was difficult for many adolescents as they experienced school closures, loss of loved ones to COVID-19, and feelings of loneliness and social isolation. Even with the return to in-person learning and afterschool activities in the 2021-2022 school year that allowed many students to regain a sense of normalcy, other adolescents found the return to school to be a challenging adjustment. In the SAM project, we saw an increase in the number of adolescents who reported serious thoughts of wanting to kill themselves or who had made a suicide attempt from the 2020-2021 school year when most schools were virtual or hybrid to the 2021-2022 school year when schools were back to in person learning. Unfortunately, we have continued to see an increase in the percentage of adolescents reporting thoughts of wanting to kill themselves this academic year.      

Our school partners have also noted a significant increase in students with suicide-related concerns. One school counselor shared, “I think we have done more suicide risk assessments this year than the past 5 years combined.” This points to a critical need to fund and implement evidence-based screening, assessment, and prevention initiatives for youth suicide.

What have you learned so far about the feasibility and effectiveness of providing the IPT-AST intervention in a telehealth format?

We needed to think creatively about how to ensure that students received the support that they needed and to consider how we could promote continuity of care if schools needed to close again. We made the decision to deliver IPT-AST through telehealth. We thought the COVID pandemic was an important opportunity to capitalize on the recent growth and innovations in digital health and to study the acceptability and efficacy of IPT-AST when delivered through telehealth.

We’ve interviewed a subset of adolescents who participated in our IPT-AST groups to get their feedback about the program, including how they felt about IPT-AST being delivered through telehealth. We are still analyzing these interviews and looking at our other data on acceptability and feasibility, including attendance and satisfaction data. Anecdotally, we have noticed a change in the acceptability of telehealth over the course of our study. In our first year, providing our group online meant that students could receive services and interact with their peers even when school was closed. As we have moved further from school closures, more adolescents have expressed a desire to return to in-person groups. Several adolescents have suggested we consider hybrid models that incorporate both in-person and virtual sessions. One positive benefit of running IPT-AST groups online is that we have been able to include students from different schools in the same group. If we find positive benefits of telehealth-delivered IPT-AST, it will be interesting to see whether some schools and districts prefer to continue this approach as it will enable providers to deliver these services outside of the school day.

Do you think the pandemic has eased the stigma surrounding seeking mental health?

We do not measure stigma specifically in our study but hope that all the attention around mental health has been beneficial. As May is Mental Health Awareness Month, we think it is important to emphasize that mental health is health. If we can continue to spread this message, stigma around mental health will continue to decrease. We are hopeful that the increased focus on youth mental health, decreases in stigma, and proposed policy solutions to increase access to mental services will mean that more adolescents will be able to get the care they need.

This blog was produced by Emily Doolittle (Emily.Doolittle@ed.gov), NCER team lead for social behavioral research.

In honor of Mental Health Awareness Month, NCSER is featuring an IES-funded study on student behavioral supports and interventions that best address the mental health needs of students. Positive Behavioral Interventions and Supports (PBIS) and school mental health (SMH) are both evidence-based interventions that provide student mental health support independent of one another. For this blog, we interviewed Dr. Brandon Schultz, principal investigator of a current study investigating the integration of both PBIS and SMH into a comprehensive school intervention. In the interview below, he discusses the differences between PBIS and SMH, how this research contributes to equity and inclusion in the classroom, and his research journey.

Your study is comparing schools that integrate PBIS and SMH into the enhanced version of the Interconnected Systems Framework (ISF) to schools that implement these as separate, parallel systems. Can you describe PBIS and SMH, and explain the key differences between the integrated framework and parallel systems?

PBIS is a tiered prevention system that addresses student behavioral needs. It provides universal support (Tier 1) to all students, including clear schoolwide behavioral expectations and a rewards system for desired behaviors. For students who do not respond to these efforts, Tier 2 provides targeted help through classroom-level or small group interventions, such as teacher consultation or student mentoring/counseling. For students who need intensive support, Tier 3 provides specialized one-to-one behavioral services. SMH, in contrast, focuses specifically on mental illnesses (for example, anxiety, trauma, depression) and, in some cases, involves community-based therapists working contractually with schools. Typically, PBIS and SMH function separately as co-located services, but there is a growing recognition that student needs are best met when these efforts are meaningfully integrated. Integration, however, is challenging because it requires educators to rethink their teaming and progress monitoring practices and include different stakeholders in critical decision-making processes. This study tests innovations to the ISF model, designed by my co-PI, Dr. Mark Weist (University of South Carolina), to meet the challenges of integrating these systems in two diverse school districts.

How did you become interested in this area of research?

My previous research was mostly focused on school-based interventions for students with ADHD, but it became clear that without systems-level change, interventions meant to help students with ADHD are unlikely to be implemented or sustained effectively, no matter how well they are designed. So, I became interested in understanding school systems and identifying the elements, processes, and resources that are critical for student support services of all kinds. 

How does your research contribute to equity and inclusion in education?

Part of my current study is focused the degree to which innovations to the ISF model can reduce racial inequities in school disciplinary actions. Research shows that Black students receive higher rates of exclusionary punishments (for example, suspensions and expulsions) than their White counterparts, even after controlling for the type of infraction. The modified ISF model aims to reduce the overall need for exclusionary punishments, especially among students of color. By improving team functioning, ISF allows educators to identify systemic problems that lead to racial inequities in disciplinary referrals and to generate new strategies to address student needs in a fair and equitable manner. With this model, we anticipate increased support for students of color that obviates disciplinary referrals. We are working with school districts now to examine disciplinary data before, during, and after the implementation of the enhanced ISF. Our hope is to identify strategies that close race-related gaps and share the lessons learned broadly.

Have you encountered any challenges in studying this integrated framework in elementary schools?

Yes, absolutely. Systems-level change in general is difficult, as it requires change agents to overcome structural inertia rooted in local norms, routines, and expectations. Those challenges have been exacerbated by the COVID-19 pandemic and preexisting trends in childhood mental illnesses. 

During the pandemic, student progress in mathematics and reading have dramatically declined. Meeting these academic needs, a priority for teachers, can divert attention away from student mental health needs. For example, all teachers in one of our states are required to take a year-long online course in reading instruction, partly to address student learning loss. Although commendable, this requirement creates a significant burden for teachers that can leave little room for other concerns. 

Preexisting mental health trends demonstrate that mental illness was increasing sharply among school-age children; by 2018, nearly 15% of all K-12 students experienced a psychiatric condition each year. Then, with the onset of the pandemic, indicators of childhood mental illness (for example, emergency room visits for suicidal behavior) spiked. Childhood anxiety and depression doubled worldwide from pre-pandemic estimates, and it is unclear whether those rates will return to baseline.

Together, these events have created real challenges, not just for our research, but for student support services in general.

What is currently the greatest area of need in studying school-based systems that support student mental health, particularly for those students with or at risk for emotional and behavioral disorders?

Perhaps the greatest area of need for supporting students with emotional and behavioral disorders is understaffing in critical school mental health positions. There is a significant shortage of school psychologists, counselors, social workers, and nurses nationwide. In North Carolina, the current ratio of school psychologists to students is 1:2,527, five times higher than recommended. This understaffing hinders schools’ ability to provide high-quality services and complicates efforts to test and refine innovative practices because field-based practitioners are unable to collaborate on research efforts. Researchers have had to hire individuals to fulfill critical roles, such as behavioral consultants, that might otherwise have been assigned to district-employed staff. Trained personnel then exit the school district when the research project ends and that skillset is lost. We hope that states prioritize the hiring of school mental health practitioners in the coming years to ensure optimal student support services and that university-school research collaborations can reliably lead to sustainable innovations.

NCSER looks forward to seeing the results of this efficacy trial and will continue to fund research aimed at supporting the mental health and social-emotional-behavioral needs of students with or at risk for disabilities.

This blog was authored by Isabelle Saillard, student volunteer for NCSER and undergraduate at the University of Virginia.

This year, Inside IES Research is publishing a series of blogs showcasing a diverse group of IES-funded education researchers and fellows that are making significant contributions to education research, policy, and practice. In recognition of Asian American and Pacific Islander Heritage Month, in this interview blog we asked Dr. Xin Wei, a senior quantitative researcher at Digital Promise to discuss her career journey. Dr. Wei’s current IES-funded study uses statistical and machine-learning techniques to understand the test-taking behavior of National Assessment of Educational Progress (NAEP) grade 8 learners with and without disabilities.

How did you become interested in a career in education research?

As a child, I aspired to become a teacher, and in college I decided to pursue a degree in child development. During my senior year of college, I worked as a research assistant on a project studying statistical and psychometric methods used to analyze learning differences among children. This experience sparked my interest in education research and revealed the potential for statistical analysis to inform and enhance teaching practices.

Graduate studies at the University of Wisconsin-Madison and Stanford University helped me gain a deeper understanding of quantitative methods in education research. Through applying and improving quantitative methods, I discovered how national and state longitudinal datasets can help us understand the learning, social, and emotional needs of students with disabilities and which policy interventions can help us achieve better outcomes. This opportunity helped me understand the challenges students with disabilities face in the education system and deepened my appreciation for secondary data analysis and its power to inform intervention research.

Currently, my research focuses on analyzing log/process data to understand how digital learning and assessments can facilitate student learning, accurately measure progress, and improve outcomes for students with disabilities. Through this work, I am committed to advancing the education research field at the intersection of special education, learning analytics, and psychometrics.

What has been the biggest challenge you have encountered, and how did you overcome the challenge?

When I came to the United States to pursue a graduate degree at the age of 23, I faced a host of challenges that forced me out of my comfort zone. Navigating a new culture and adapting to academic expectations and research demands was overwhelming. Additionally, understanding U.S. K-12 education policies and practices was no easy feat. However, I was fortunate enough to have incredible mentors, professors, peers, and colleagues who provided me with guidance, support, and patience when I needed it most. These individuals played a crucial role in helping me grow as a researcher.

The most important lesson I learned from the challenges I faced was the value of continuous learning and growth in my career. These experiences have strengthened my commitment to making a positive impact in education and helping others who may be facing similar obstacles.

How can the broader education research community better support the careers and scholarship of researchers from underrepresented groups?

The student population in the United States is diverse, and it is essential that the education research community reflects that diversity by including scholars who bring unique perspectives and experiences.

One way to do this is by actively seeking out and valuing diverse voices in research, teaching, and leadership positions. This includes promoting diversity in conference panels, as well as actively recruiting and hiring researchers from underrepresented groups. By creating a culture of inclusivity, the education research community can better support the careers and scholarship of researchers from underrepresented groups.

Another way to better support the careers and scholarship of researchers from underrepresented groups is through mentoring programs, summer internships, and postdoc positions. These opportunities can provide valuable professional development and collaboration opportunities. In addition, research grants specifically targeted toward underrepresented groups can also help support their work and advance their careers. It is essential to widely advertise these opportunities and make them accessible to ensure that all researchers have an equal chance to participate.

In your area of research, what do you see as the greatest research needs or recommendations to address diversity, equity, and inclusion and to improve the relevance of education research for diverse communities of students and families?

To address diversity, equity, and inclusion in education research, it is crucial to adopt an asset-based approach when working with neurodiverse students. By shifting the focus from deficits to strengths, we can recognize and leverage their unique abilities, promoting more equitable educational practices. Additionally, targeted support should be provided to address the specific challenges underserved students face, ensuring inclusive learning environments. For instance, my research findings indicate that students with autism exhibit strengths in visuospatial reasoning and are drawn to STEM fields. However, autistic students may benefit from extra support to develop perseverance and improve their weaker areas (such as word problems) in math.

To address this gap, I am currently analyzing the NAEP process/log, performance, and survey data to study the impact of digital tools (such as text-to-speech) on student performance. This line of research is crucial and should be expanded to gather new insights on inclusive and accessible learning possibilities as technologies continue to develop.

In addition, research efforts should extend beyond traditional methods and incorporate the analysis of multimodal data. By considering a range of data sources, including behavior log/process data, speech, facial expressions, and eye-tracking data, we can gain deeper insights into how students interact with digital learning and assessments. This comprehensive approach enables us to capture nuanced aspects of their experiences and informs the design and implementation of effective educational interventions and digital learning platforms.

What advice would you give to emerging scholars from underrepresented, minoritized groups that are pursuing a career in education research?

First and foremost, seek out a great mentor and research team. Having someone to guide and support you in the field can be tremendously beneficial to your career. Look for someone who shares your research interests, is supportive of your goals, and is committed to helping you succeed. Learning from others in your team is a great way to improve your skills and knowledge.

Second, don’t be afraid of change. The greatest opportunities often require stepping out of your comfort zone and exploring new research areas or methodologies. Be open to feedback and new perspectives that can help you grow as a researcher.

Third, be brave! It is important to recognize that your unique experiences and perspectives are valuable assets to the research community. Do not be afraid to share your ideas and contributions with others. Being proactive about your work can be a great way to build your network and collaborate with other researchers in the field.

Lastly, know that you have the potential to lead a research team yourself. Keep working hard, stay focused on your goals, and do not be afraid to take on leadership roles when the opportunities arise. Pursuing this career as an emerging scholar from an underrepresented or minoritized group can be challenging but also incredibly rewarding, and you can make a meaningful impact in the field and inspire others to follow in your footsteps.

Dr. Xin Wei is currently a senior quantitative researcher at Digital Promise. Prior to joining Digital Promise, she held the position of principal research scientist at SRI International for a duration of 15 years. She specializes in using applied experimental design, statistical and machine-learning techniques to evaluate and improve instruction, interventions, assessments, and policies. In addition to her current IES study, Dr. Wei has designed and directed statistical analysis of more than 26 grants funded by federal agencies.

Produced by NCER program officer Wai Chow (Wai-Ying.Chow@ed.gov) and Virtual Student Federal Service intern Audrey Im.

In honor of Mental Health Awareness Month, NCSER would like to discuss special education teacher burnout and its connection to America’s teacher shortage crisis. Special education teachers are essential to our nation’s ability to provide a free and appropriate public education to the 7.3 million students with disabilities that attend our public schools. But significant shortages in qualified special educators affect the ability of our public schools to provide equal educational opportunities for all students.

A nationwide survey of schools in 2022 reported that vacancies in special education were nearly double that of other subject areas. This survey also found that 65% of public schools in the United States reported being understaffed in special education. Even prior to the pandemic, there was a downward trend in the number of special education teachers. One study found the numbers decreased by 17% between the years 2005-12. Research has also shown that the number of teachers leaving the field of special education is among the largest contributors to the growing shortage. High job demands without adequate support and resources may lead to teacher burnout, which may, in turn, lead to teachers leaving the profession. Because teacher burnout and general working conditions are real concerns, NCSER has funded projects to take a closer look at this problem and find potential solutions. This blog highlights a few of these projects below.

NCSER-Funded Studies on Special Educator Burnout

Elizabeth Bettini at Boston University led a research project exploring special educator working conditions. The research aimed to provide an understanding of how instructional resources, planning time, and support from colleagues affect teacher instruction and student outcomes, as well as explore how administrators view their role in providing supportive working conditions for special educators. They found that teachers who provided high-quality instruction had a trusted co-teacher, consistent paraprofessionals with time and support for training, and protected time for instruction.

To help prevent burnout among special education teachers, Lisa Ruble at Ball State University has been developing and testing an intervention called BREATHE (Burnout Reduction: Enhanced Awareness, Tools, Handouts, and Education). As part of the larger project, the research team explored the longitudinal trajectory of burnout. The first wave of data collection occurred in Fall 2020 during the pandemic and analyses from that particular wave of data collection demonstrated that out of the 468 participating special educators from across the United States, approximately 38% met clinical criteria for generalized anxiety disorder and 38% for major depressive disorder—rates that are several times greater than those in the general U.S. population. Additionally, teachers indicated that the pandemic had a moderate to extreme impact on stress (91%), depression (58%), anxiety (76%), and emotional exhaustion (83%). The research team is still analyzing all the data from the pilot study.

At Pennsylvania State University, Jennifer Frank is leading a research project examining the efficacy of Cultivating Awareness and Resilience in Education (CARE). In prior research, the CARE program was shown to improve teacher outcomes (such as improving emotion regulation and reducing distress) and enhance classroom interactions in general education settings, but it had not been studied in a special education context. The current project is examining whether there are similar positive impacts of the intervention on outcomes for special education teachers and students with disabilities.

Justin Garwood at the University of Vermont is leading a research project aimed at understanding risk factors related to special education teacher burnout, such as role stressors, relationships with colleagues, and behavior management abilities. Ultimately, this project aims to collect data that could help target interventions for preventing or reducing special education teacher burnout and improving educator and student outcomes.

NCSER would like to thank all our researchers for their dedication and continued efforts to find solutions that support educators and students. We look forward to seeing the final results of the projects described here. We would also like to extend our deepest gratitude to the special education teachers and support staff in our nation’s schools.

This blog was written by Shanna Bodenhamer, virtual student federal service intern at IES and graduate student at Texas A&M University. Katie Taylor is the NCSER program officer for the Educators and School-Based Service Providers portfolio and the other programs that support the projects presented in this blog.