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 Pub Number  Title  Date
NCES 2022080 A Retrospective Look at U.S. Education Statistics
This commemorative guide is intended to provide a better understanding of the history and use of federal education statistics that have been collected and reported by the federal education statistics agency (now the National Center for Education Statistics) since 1868. The “statistical profiles” in this report use updated historical trend data from 120 Years of American Education: A Statistical Portrait to offer an in-depth look at what each statistic measures, how it has been collected over the years, and what the data reveal about the statistic. Statistics covered in the report include enrollment in elementary and secondary schools; high school graduates and graduation rates, and postsecondary student costs and finances. Readers can browse these profiles online and download PDFs of individual profiles.
11/17/2022
NCES 2022047 Trends in International Mathematics and Science Study (TIMSS) 2019 U.S. public-use data files and documentation
The TIMSS 2019 U.S. public-use data files and documentation include the following at grades 4 and 8: student, teacher, and school data in ASCII text format; SPSS and SAS control files for reading the ASCII data to produce SPSS and SAS data files; codebooks; illustrative merging code; a Read Me file; and a Quick Guide. Also included for each of the grades are the analogous files for the Bridge study, which was conducted to form a link between eTIMSS countries’ computer-based data in 2019 and their paper-based data in 2015 as well as to the paper-based TIMSS countries in 2019. The TIMSS 2019 U.S. public-use student, teacher, and school data files include U.S. specific variables that are not part of the U.S. data files in the IEA’s TIMSS 2019 international database. They are add-on files that do not contain weight variables or replicate weights, and therefore must be merged with the U.S. data files in the IEA’s public-use international database before any analysis can be conducted. The U.S. data files in the IEA’s public-use international database can be downloaded at https://timss2019.org/international-database/. Users of this data should consult the U.S. Technical Report and User Guide for the 2019 Trends in International Mathematics and Science Study (TIMSS) available for viewing and downloading at https://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2022049.
10/17/2022
NCES 2022048 Trends in International Mathematics and Science Study (TIMSS) 2019 U.S. restricted-use data files and documentation
The TIMSS 2019 U.S. restricted-use data files and documentation include the following at grades 4 and 8: student and school data in ASCII text format; SPSS and SAS control files for reading the ASCII data to produce SPSS and SAS data files; codebooks; illustrative merging code; a Read Me file; and a Quick Guide. Also included for each of the grades are the analogous files for the Bridge study, which was conducted to form a link between eTIMSS countries’ computer-based data in 2019 and their paper-based data in 2015 as well as to the paper-based TIMSS countries in 2019. The TIMSS 2019 U.S. restricted-use student and school data files include U.S. specific variables that are not part of the TIMSS 2019 U.S. public-use data files or the U.S. data files in the IEA’s TIMSS 2019 public-use international database. They include NCES school IDs that facilitate merging with the Common Core of Data (CCD) for public schools and the Private School Universe Survey (PSS) for private schools. They are add-on files that do not contain weight variables or replicate weights, and therefore must be merged with the U.S. student and school data files in the IEA’s public-use international database before any analysis can be conducted. The U.S. data files in the IEA’s public-use international database can be downloaded at https://timss2019.org/international-database/. Users of this data should consult the U.S. Technical Report and User Guide for the 2019 Trends in International Mathematics and Science Study (TIMSS) available for viewing and downloading at https://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2022049.
10/17/2022
NCES 2022041 Changes Between 2011 and 2019 in Achievement Gaps Between High- and Low-Performing Students in Mathematics and Science: International Results From TIMSS
This Statistics in Brief (SiB) uses data from the 2011 and 2019 Trends in International Mathematics and Science Study (TIMSS), and explores how achievement gaps between high- and low-performing 4th- and 8th-grade students in the U.S. and other education systems have changed over time. Achievement gaps are defined as the differences in scores between students at the 90th percentile of performance (high-performing) and those at the 10th percentile of performance (low-performing); they are also known as “score gaps.” The SiB focuses on two questions for each grade and subject: (1) In which education systems did score gaps between high- and low-performing students change (widen or narrow) between 2011 and 2019? (2) Is the widening or narrowing of score gaps between 2011 and 2019 driven primarily by changes in the scores of high-performing students, low-performing students, or both?
10/12/2022
NCES 2022065 International Computer and Information Literacy Study (ICILS): U.S. ICILS 2018 Technical Report and User’s Guide
The U.S. ICILS 2018 Technical Report and User’s Guide provides an overview of the design and implementation of ICILS 2018 in the United States.
2/22/2022
NCES 2022066 International Computer and Information Literacy Study (ICILS): U.S. ICILS 2018 restricted-use data files and documentation
The ICILS 2018 U.S. restricted-use student and school data files include U.S. specific variables that are not part of the ICILS 2018 U.S. public-use data files or the U.S. data files in the IEA’s ICILS 2018 international database. They include NCES school IDs that facilitate merging with the Common Core of Data (CCD) for public schools and the Private School Universe Survey (PSS) for private schools. They are add-on files that do not contain weight variables or replicate weights, and therefore must be merged with the U.S. teacher and school data files in the international database before any analysis can be conducted. The U.S. data files in the international database can be downloaded from the IEA Data Repository https://www.iea.nl/data-tools/repository.
2/22/2022
NCES 2022067 International Computer and Information Literacy Study (ICILS): U.S. ICILS 2018 public-use data files and documentation
The ICILS 2018 U.S. public-use student, teacher, and school data files include U.S. specific variables that are not part of the U.S. data files in the ICILS 2018 international database. They are add-on files that do not contain weight variables or replicate weights, and therefore must be merged with the U.S. data files in the international database before any analysis can be conducted. The U.S. data files in the international database can be downloaded from the IEA Data Repository https://www.iea.nl/data-tools/repository.
2/22/2022
REL 2021106 The reliability of shorter assessments in New Jersey for group-level inferences
Education policymakers must balance the reliability of assessments to measure academic knowledge and skills with the burdens that assessments place upon students, teachers, and schools. In 2019, New Jersey began using the New Jersey Student Learning Assessments (NJSLA), shorter assessments based on the Partnership for Assessment of Readiness for College and Careers (PARCC). Regional Educational Laboratory researchers examined the reliability of test results for the NJSLA by comparing results at the school, test, and subgroup levels from 2016 to 2019. The findings indicated a high degree of reliability across most measures the researchers examined; during the transition to the NJSLA, the reliability did not decrease for any test results—except the Algebra 2 test—reported by the New Jersey Department of Education. The instability of the Algebra 2 results was most likely not attributable to changes in the assessment but instead to changes in the student population that was required to take the test following a change in the state’s testing requirements .
7/20/2021
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).

7/8/2021
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).

7/8/2021
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).

7/8/2021
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.
7/8/2021
REL 2021095 Examination of the Validity and Reliability of the Kansas Clinical Assessment Tool

Although national assessments for evaluating teacher candidates are available, some state education agencies and education preparation programs have developed their own assessments. These locally developed assessments are based on observations of teaching and other artifacts such as lesson plans and student assignments. However, local assessment developers often lack information about the validity and reliability of data collected with their assessments. The Council for the Accreditation of Educator Preparation (CAEP) has provided guidance for demonstrating the validity and reliability of locally developed teacher candidate assessments, yet few educator preparation programs have the capacity to generate this evidence.

The Regional Educational Laboratory Central partnered with educator preparation programs in Kansas to examine the validity and reliability of the Kansas Clinical Assessment Tool (K-CAT), a newly developed tool for assessing the performance of teacher candidates. The study was designed to align with CAEP guidance. The study found that cooperating teachers reported that the K-CAT accurately represented existing teaching performance standards (face validity). Two skilled raters found that the content of the K-CAT was mostly aligned to existing teaching performance standards (content validity). In addition, K-CAT scores for the same teacher candidate, provided by cooperating teachers and supervising faculty, were positively related (convergent validity). K-CAT indicator scores showed internal consistency, or correlations among related indicators, for standards and for the tool overall (reliability). K-CAT scores showed small relationships with teacher candidate scores on other measures of teaching performance (criterion-related validity).

7/7/2021
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.
6/15/2021
REL 2021067 Early Childhood Data Use Assessment Tool
The Early Childhood Data Use Assessment Tool is designed to identify and improve data use skills among early childhood education (ECE) program staff so they can better use data to inform, plan, monitor, and make decisions for instruction and program improvement. Data use is critical in quality ECE programs but can be intimidating for some ECE program staff. This tool supports growth in their data use skills. The tool has three components: (1) a checklist to identify staff skills in using child assessment and administrative data, (2) a resource guide to identify professional development resources for improving data use skills, and (3) an action plan template to support planning for the development and achievement of data use goals. Results obtained from using the tool are meant by the developers to support instruction and program improvement through increased and structured use of data.
3/2/2021
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