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|NCES 2022009||Digest of Education Statistics, 2020
The 56th in a series of publications initiated in 1962, the Digest's purpose is to provide a compilation of statistical information covering the broad field of education from prekindergarten through graduate school. The Digest contains data on a variety of topics, including the number of schools and colleges, teachers, enrollments, and graduates, in addition to educational attainment, finances, and federal funds for education, libraries, and international comparisons.
|NCES 2021105||Graduation Rates for Selected Cohorts, 2012-17; Outcome Measures for Cohort Year 2012-13; Student Financial Aid, Academic Year 2019-20; and Admissions in Postsecondary Institutions, Fall 2020
This provisional set of web tables presents fully edited and imputed data findings from the Integrated Postsecondary Education Data System (IPEDS) winter 2020-21 data collection, which included four survey components: Graduation Rates for selected cohorts 2012-2017, Outcome Measures for cohort year 2012-13, Student Financial Aid data for the academic year 2019-20, as well as Admissions for Fall 2020.
|REL 2021116||Factors Associated with Grade 3 Reading Outcomes of Students in the Commonwealth of the Northern Mariana Islands Public School System
Few elementary students on the Commonwealth of the Northern Mariana Islands (CNMI) are scoring at grade level or higher on the ACT Aspire reading assessment. To better understand factors associated with the reading proficiency of CNMI grade 3 students, stakeholders there asked the Regional Educational Laboratory Pacific to examine the demographic characteristics and education experiences of students who demonstrated reading proficiency by grade 3. The study focused on grade 3 students who were enrolled in CNMI public schools from 2014/15 to 2018/19. It found that female students, students who did not receive free or reduced-priced lunch, students who were older at the time of kindergarten entry, Filipino students, and students who did not change schools were more likely to demonstrate reading proficiency in grade 3 than other students. There was no difference in grade 3 reading proficiency between students who had enrolled in Head Start and students who had not.
|REL 2021098||Using Promotion Power to Identify the Effectiveness of Public High Schools in the District of Columbia
This study estimated the promotion power of public high schools in the District of Columbia. Promotion power is a measure of school effectiveness that distinguishes a school/s contributions to student outcomes from the contributions of the background characteristics of the students it serves. Promotion power scores are distinct from status measures such as graduation rate and college enrollment rate because they account for prior student achievement and other student background characteristics in measuring schools’ contributions. They complement value-added measures by using similar methods to examine additional, longer-term outcomes. The study found wide variation in high schools’ promotion power for college-ready SAT scores, high school graduation, and college enrollment. Schools with high promotion power for high school graduation were also more likely to have high promotion power for college enrollment. Student background characteristics were less strongly related to promotion power scores than to status measures, suggesting that high schools serving differing student populations can show strong promotion power.
|REL 2021102||Associations between High School Students' Social-Emotional Competencies and Their High School and College Academic and Behavioral Outcomes in the Commonwealth of the Northern Mariana Islands
This study addressed the need expressed by education stakeholders in the Commonwealth of the Northern Mariana Islands to better understand their high school students' social-emotional competencies and how those competencies might be associated with students' academic and behavioral outcomes in high school and college. Social-emotional competencies refer to the knowledge, beliefs, and behaviors that help students recognize and manage their emotions, build positive relationships, and make responsible decisions. In May 2019 grade 11 and 12 students who were enrolled in high schools within the Commonwealth of the Northern Mariana Islands Public School System responded in May 2019 to survey questions regarding their self-management, growth mindset, self-efficacy, sense of belonging, and social awareness using a 5-point scale, with higher scores reflecting greater social-emotional competencies. The study found that high school students and high school students who went on to attend Northern Marianas College scored highest in self-management and lowest in self-efficacy. High school students with higher growth mindset or self-efficacy scores had higher high school grade point averages and grade 10 ACT Aspire math and reading scale scores. Higher self-efficacy scores were also associated with fewer days absent from high school. Students with higher social awareness scores had lower high school grade point averages. Among the high school students who went on to attend college at Northern Marianas College, higher growth mindset scores were associated with higher first semester college grade point averages, after student characteristics were controlled for. None of the four other social-emotional competency domains was associated with any of the college academic or behavioral outcomes.
|NCES 2021022||Program for the International Student Assessment Young Adult Follow-up Study (PISA YAFS) 2016 Public Use File (PUF)
The PISA YAFS 2016 Public Use File (PUF) consists of data from the PISA YAFS 2016 sample. PISA YAFS was conducted in the United States in 2016 with a sample of young adults (at age 19) who participated in PISA 2012 when they were in high school (at age 15). In PISA YAFS, students took the Education and Skills Online (ESO) literacy and numeracy assessments, which are based on the Program for the International Assessment of Adult Competencies (PIAAC). It contains data for individuals including responses to the background questionnaire and the cognitive assessment. Statistical confidentiality treatments were applied due to confidentiality concerns.
For more details on the data, please refer to chapter 8 of the PISA YAFS 2016 Technical Report and User Guide (NCES 2021-020).
|NCES 2021047||Program for the International Student Assessment (PISA) 2018 Restricted-Use Files (RUF)
The PISA 2018 Restricted Use File (RUF) consists of restricted-use data from PISA 2018 for the United States. The data file and documentation includes the data file, a codebook, instructions on how to merge with the U.S. PISA 2018 public-use dataset (NCES 2021-047), and a cross-walk to assist in merging with other public datasets, such as the Common Core of Data (CCD) and Private School Survey (PSS). As these data files can be used to identify respondent schools, a restricted-use license must be obtained before access to the data is granted. Click on the restricted-use license link below for more details https://nces.ed.gov/surveys/pisa/datafiles.asp.
For more details on the data, please refer to chapter 9 of the PISA 2018 Technical Report and User Guide (NCES 2021-011).
|NCES 2021019||Program for the International Student Assessment (PISA) 2018 Public Use File (PUF)
The PISA 2018 Public Use File (PUF) consists of data from the PISA 2018 sample. Statistical confidentiality treatments were applied due to confidentiality concerns. The PUF can be accessed from the National Center for Education Statistics website at http://nces.ed.gov/surveys/pisa/datafiles.asp.
For more details on the data, please refer to chapter 9 of the PISA 2018 Technical Report and User Guide (NCES 2021-011).
|NCES 2021020||Technical Report and User Guide for the 2016 Program for International Student Assessment (PISA) Young Adult Follow-up Study
This technical report and user guide is designed to provide researchers with an overview of the design and implementation of PISA YAFS 2016, as well as with information on how to access the PISA YAFS 2016 data.
|NCES 2021029||2012–2016 Program for International Student Assessment Young Adult Follow-up Study (PISA YAFS): How reading and mathematics performance at age 15 relate to literacy and numeracy skills and education, workforce, and life outcomes at age 19
This Research and Development report provides data on the literacy and numeracy performance of U.S. young adults at age 19, as well as examines the relationship between that performance and their earlier reading and mathematics proficiency in PISA 2012 at age 15. It also explores how other aspects of their lives at age 19—such as their engagement in postsecondary education, participation in the workforce, attitudes, and vocational interests—are related to their proficiency at age 15.
|NCES 2020138||High School and Beyond Fifth Follow-up Data File
In 2013-14, the University of Texas and NORC collected data from the HS&B sophomore cohort (when most cohort members were in their early 50’s) with support from NCES. This data file provides both cross-sectional as well as the longitudinal data collected over 30 years after the initial base year survey of the cohort of students.
|NCES 2021009||Digest of Education Statistics, 2019
The 55th in a series of publications initiated in 1962, the Digest's purpose is to provide a compilation of statistical information covering the broad field of education from prekindergarten through graduate school. The Digest contains data on a variety of topics, including the number of schools and colleges, teachers, enrollments, and graduates, in addition to educational attainment, finances, and federal funds for education, libraries, and international comparisons.
|NCES 2021021||TIMSS 2019 U.S. Highlights Web Report
The Trends in International Mathematics and Science Study (TIMSS) 2019 is the seventh administration of this international comparative study since 1995, when it was first administered. TIMSS is administered every 4 years and is used to compare the mathematics and science knowledge and skills of 4th and 8th-graders over time. TIMSS is designed to align broadly with mathematics and science curricula in the participating countries. The results, therefore, suggest the degree to which students have learned mathematics and science concepts and skills likely to have been taught in school. In 2019, there were 64 education systems that participated in TIMSS at the 4th grade and 46 education systems at the 8th grade.
The focus of this web report is on the mathematics and science achievement of U.S. students relative to their peers in other education systems in 2019. Changes in achievement over the last 24 years, focusing on changes since 2015 and 1995, are also presented for the U.S. and several participating education systems. In addition, this report describes achievement gaps within the United States and other education systems between top and bottom performers, as well as among different student subgroups.
In addition to numerical scale results, TIMSS also reports the percentage of students reaching international benchmarks. The TIMSS international benchmarks provide a way to understand what students know and can do in a concrete way, as each level is associated with specific types of knowledge and skills.
|NCES 2021056||Education, Employment, and Earnings: Expectations of 2009 Ninth-Graders in 2016
This Statistics in Brief examines the educational, employment, and salary expectations of the 2009 ninth-grade cohort. It also explores their ranking of aspects of a job, such as teamwork or job security, compared to salary. This report draws on data from the High School Longitudinal Study of 2009 (HSLS: 09) Second Follow-Up, conducted in 2016.
|NFES 2020132||Forum Guide to Exit Codes
The Forum Guide to Exit Codes provides best practice information for tracking data about when students transferred, completed high school, dropped out, or otherwise exited an education agency. This resource defines exit codes and reviews their use in an education agency; provides an updated, voluntary, common taxonomy for exit codes; discusses best practices and methods for addressing specific challenges in exit codes data collection; features case studies that highlight different education agencies’ approaches to and experiences with exit coding.