The Forum Guide to Discipline Data is designed to help education agencies collect, manage, report, and use discipline data. The guide discusses the importance of discipline data and how these data have changed over time, provides key considerations for data management and staff training, and identifies data reporting and use best practices. It is intended for education agency staff involved in collecting and using discipline data to improve student outcomes; promote positive, productive, and safe learning environments; and ensure equity in education. This audience includes staff responsible for reporting accurate and timely data to the federal government.
This ReadMe provides guidance and documentation for users of the Middle Grades Longitudinal Study of 2017-18 (MGLS:2017) Assessment Item Level File (ILF)(NCES 2023-014) made available to researchers under a restricted use only license. Other supporting documentation includes MGLS_Math_and_Reading_Items_User_Guide.xlsx, MGLS_MS1_Math_Item_Images.pdf, MGLS_MS2_Math_Item_Images.pdf, MGLS_MS1_MS2_Reading_Sample_Item_Type_Images.pdf, MGLS_MS1_MS2_EF_HeartsFlowers_Instructions.pptx, and MGLS_MS2_EF_Spatial_2-back_Instructions.pptx
The Middle Grades Longitudinal Study of 2017-18 (MGLS:2017) measured student achievement in mathematics and reading along with executive function. The MGLS:2017 ILF contains the item level data from these direct measures that can be used in psychometric research for replicating or enhancing the scoring found in the MGLS:2017 RUF or in creating new scores. The Middle Grades Longitudinal Study of 201718 (MGLS:2017) Assessment Item Level File (ILF) contains two .csv files representing the two rounds of data collection: the MGLS:2017 Main Study (MS) Base Year (MS1) and the Main Study Follow-up (MS2) files.
This manual provides guidance and documentation for users of the Middle Grades Longitudinal Study of 201718 (MGLS:2017) restricted-use school and student data files (NCES 2023-131). An overview of MGLS:2017 is followed by chapters on the study data collection instruments and methods; direct and indirect student assessment data; sample design and weights; response rates; data preparation; data file content, including the composite variables; and the structure of the data file. Appendices include a psychometric report, a guide to scales, field test reports, and school and student file variable listings.
This technical report provides general information about the study and the data files and technical documentation that are available. Information was collected from students, their parents or guardians, their teachers, and their school administrators. The data collection included direct and indirect assessments of middle grades students mathematics, reading, and executive function, as well as indirect assessments of socioemotional development in 2018 and again in 2020. MGLS:2017 field staff provided additional information about the school environment through an observational checklist.
This What Works Clearinghouse (WWC) intervention report summarizes the research on the effectiveness of Reading Apprenticeship®, a professional development program that aims to help teachers improve student literacy skills in core academic subjects, including English, mathematics, science, and social studies. Reading Apprenticeship® trains teachers to model reading comprehension strategies and help students practice these strategies. Based on five studies that meet WWC standards, the WWC found moderate evidence that Reading Apprenticeship® positively impacted student science achievement and overall grade point average, compared with students whose teachers did not receive Reading Apprenticeship® professional development. The WWC found uncertain effects on student achievement in life sciences, social studies, literacy, reading comprehension, vocabulary, and mathematics.
The Forum Guide to Digital Equity Data is designed to help education agencies close digital equity gaps through the collection and use of digital equity data. This publication defines digital equity; explains the importance of having comparable, high-quality digital equity data; and discusses how those data can be used to identify issues, prioritize action, and create new programs or sustain existing efforts to address digital inequities.
This report examines the education and certification qualifications of public school mathematics/computer science teachers by selected school characteristics during school year 201718. Data are reported separately for teachers of high school and middle school grades.
This is the second methodology report on Program for the International Assessment of Adult Competencies (PIAAC) Small Area Estimation (SAE) published by the National Center for Education Statistics in PIAAC Cycle I. The first report was written to describe the methodology used for the purpose of creating model-based estimates of average scores and high, middle, and low proficiency levels of adult skills for all states and counties in the U.S. This report further describes the statistical models to produce the same types of estimates for state-level age and education groups.
The Condition of Education 2022 is a congressionally mandated annual report summarizing the latest data from NCES and other sources on education in the United States. This report is designed to help policymakers and the public monitor educational progress.
The What Works Clearinghouse(TM) (WWC) developed this practice guide in partnership with a panel of experts on reading interventions. The panel distilled recent reading intervention research into four easily comprehensible and practical recommendations that educators can use to deliver reading intervention to meet the needs of students in grades 4-9. The four recommendations in this practice guide will be useful for special educators, general education teachers, reading specialists/coaches, administrators, and parents.
The 202021 National Teacher and Principal Survey (NTPS) collected data on the impact of the coronavirus pandemic on public and private schools, principals, and teachers during the 201920 school year. The report presents selected findings, using preliminary data, from coronavirus-related questions that were focused on how schools adapted to the coronavirus pandemic during the spring of 201920.
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.
Middle school is an important crossroad in a students academic journey. As students enter middle school, their academic achievement and engagement frequently declines. This is true particularly for Black and Latinx students. Poor middle school grades are often a harbinger of poor performance in high school and beyond. In particular, having a grade point average (GPA) below 2.0 is a strong signal of continuing negative academic outcomes. Previous research has found that academic outcomes around the transition to middle school are related to, and might even be driven by, academic mindsets, including growth mindsets (such as beliefs about the malleability of academic ability and the payoff to effort) and performance avoidance (fears of failure and the desire to avoid academic effort), and resulting academic behaviors (such as completing homework).
This study examined the relationship between 2016/17 grade 5 student responses to a Clark County School District (Nevada) survey on levels of academic mindsets and behaviors and the predicted probability of earning a low GPA (below 2.0) at the end of the first semester of grade 6 (the first year of middle school) in 2017/18. Grade 5 students who reported high levels of growth mindset and academic behavior and low levels of performance avoidance had a lower predicted probability of having a GPA below 2.0 in the first semester of grade 6. Once student scores on grade 5 state standardized math and English language arts achievement exams were accounted for, levels of academic mindsets and behaviors among grade 5 students with scores at or above the district median did not predict meaningful differences in the probability of having a GPA below 2.0 in the first semester of grade 6. However, among grade 5 students with prior academic achievement below the district median, students who reported high levels of growth mindset and academic behaviors and low levels of performance avoidance had a lower predicted probability of having a GPA below 2.0 in the first semester of grade 6, even after differences in individual grade 5 prior academic achievement were accounted for. These patterns were essentially the same for all racial/ethnic groups as well as for both English learner students and nonEnglish learner students.
The Teaching and Learning International Survey (TALIS) is a survey about teachers, teaching, and learning environments. Sponsored by the Organization for Economic Cooperation and Development (OECD), TALIS is composed of two questionnairesone for teachers and one for their principals, and focuses on teachers and principals at the lower secondary school level (grades 7, 8, and 9 in the United States). The TALIS 2018 U.S. public-use teacher and school data files include U.S. specific variables that are not part of the U.S. teacher or school data files in the OECDs TALIS 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 OECD at http://www.oecd.org/education/talis/talis-2018-data.htm. The TALIS 2018 U.S. public-use data files and documentation include following: teacher and school data in SPSS, SAS, and 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. Users of this data should consult the TALIS 2018 U.S. Technical Report and User Guide available for viewing and downloading at https://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2021070
