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Publications Last 90 Days
|NCES 2017056||Certification Status and Experience of U.S. Public School Teachers: Variations Across Student Subgroups
This report provides a snapshot of the extent to which U.S. public schools students are taught by certified and experienced teachers using two available datasets. The Schools and Staffing Survey (SASS) provides a comprehensive picture, as it includes teachers of K–12 students in all subjects and the National Assessment of Educational Progress (NAEP) provides a picture specific to grades 4 and 8. In addition, NAEP data are directly related to teachers of two key subjects: reading and mathematics. SASS data are available for the 2011–12 school year and NAEP data are available for 2013 and 2015.
|NCES 2016817||Documentation for the 2011-12 Schools and Staffing Survey
The Schools and Staffing Survey (SASS) collects data on public, private, and Bureau of Indian Education elementary and secondary schools across the nation. The Documentation report provides information about all phases of SASS, from survey questionnaire revisions to survey data collection and all phases of data processing. The associated data files for the 2011-12 SASS are available in restricted-use version only.
|NCES 2017161||The National Indian Education Study: 2015
The National Indian Education Study (NIES) is designed to describe the condition of education for American Indian and Alaska Native (AI/AN) students in the United States. NIES is conducted under the direction of the National Center for Education Statistics on behalf of the U.S. Department of Education’s Office of Indian Education.
The results presented in this report focus primarily on the educational experiences of AI/AN students at grades 4 and 8 based on their responses and the responses of their teachers and school administrators to selected NIES 2015 survey questions. Approximately 8,500 fourth-graders and 8,200 eighth-graders participated in the NIES 2015 student survey. Teachers and school administrators also completed surveys. The survey results displayed are reported as percentages of AI/AN students attending schools that varied in the proportion of AI/AN students within their student population—low AI/AN density public schools (less than 25 percent of students were AI/AN), high AI/AN density public schools (25 percent or more of students were AI/AN), and Bureau of Indian Education (BIE) schools.
Also included in this report are performance results for AI/AN students in the 14 states with samples large enough to report separate results for AI/AN students in 2015. State-level average scores in NAEP reading and mathematics for AI/AN fourth- and eighth- graders from earlier NAEP assessments in 2005, 2007, 2009, and 2011 are compared to their average reading and mathematics scores in 2015.
|NCES 2017285||User’s Manual for the ECLS-K:2011 Kindergarten- Second Grade Data File and Electronic Codebook, Public Version
This public version of the kindergarten-second grade user’s manual focuses on the second-grade rounds of data collection and data for the Early Childhood Longitudinal Study, Kindergarten Class of 2010-11 (ECLS-K:2011). It describes the study instruments and data collection procedures used in the fall 2012 and spring 2013 collections. It also describes the kindergarten-second grade data file structure and variables created from data collected in the second-grade rounds, as well as procedures used to make the data suitable for public release.
|NCES 2017084||Graduation Rates for Selected Cohorts, 2007-12; Outcome Measures for Cohort Year 2007; Student Financial Aid, Academic Year 2014-15; and Admissions in Postsecondary Institutions, Fall 2015:
First Look (Provisional Data)
This provisional First Look report includes fully edited and imputed data from the Integrated Postsecondary Education Data System (IPEDS) winter 2015-16 data collection, which included three survey components: Graduation Rates for selected cohorts 2007-2012, Student Financial Aid data for the academic year 2014-15, as well as Admissions for Fall 2015.
|NCES 2017416||A Profile of the Enrollment Patterns and Demographic Characteristics of Undergraduates at For-Profit Institutions
This Statistics in Brief profiles the demographic, background, and enrollment characteristics of undergraduates attending for-profit postsecondary institutions in 2012. Based on data from the National Postsecondary Student Aid Study (NPSAS), the report examines the change in for-profit enrollment over time and the degree programs and fields in which students at for-profit institutions were enrolled in 2012, as well as students’ demographic, socioeconomic, family, and background characteristics. The report includes comparisons among levels of for-profit institutions (i.e., less-than-2-year, 2-year, and 4-year) and comparisons of students enrolled in for-profit institutions with students enrolled in public and nonprofit institutions.
|NCES 2016303||Revenues and Expenditures for Public Elementary and Secondary School Districts: School Year 2013-14 (Fiscal Year 2014) (NCES 2016-303)
This First Look report presents data on public elementary and secondary education revenues and expenditures at the local education agency (LEA) or school district level for fiscal year (FY) 2014. Specifically, this report includes findings from the following types of school finance data:
|NCES 2017024||Enrollment and Employees in Postsecondary Institutions, Fall 2015; and Financial Statistics and Academic Libraries, Fiscal Year 2015: First Look (Provisional Data)
This provisional First Look report includes fully edited and imputed data from the Integrated Postsecondary Education Data System (IPEDS) spring 2016 data collection, which included four survey components: Enrollment for fall 2015; Finance for fiscal year 2015; data on employees in postsecondary education for Fall 2015; and data for Academic Libraries for fiscal year 2015.
|NCES 2017047||IPEDS Media Primer
IPEDS brochures inform data users (e.g., researchers, policy makers, members of the media, the general public, etc.) about the Integrated Postsecondary Education Data System. The Media Primer describes data collected through IPEDS and when they become available. It also lists ways in which members of the press can interact with the data.
|NCES 2017076||Instructional Time for Third- and Eighth-Graders in Public and Private Schools: School Year 2011–12
This Statistics in Brief examines the amount of time that students in grades 3 and 8 spent on different activities in 2011–12 and compares how, if at all, this time varied by activity, school sector, and grade.
|NCES 2017046||IPEDS Graduation Rates Brochure
IPEDS brochures inform data users (e.g., researchers, policy makers, members of the media, the general public, etc.) about the Integrated Postsecondary Education Data System. The Graduation Rates (GR) Brochure explains to a non-technical audience how cohorts are established and graduation rates are calculated in IPEDS. It also provides timelines for the release of GR data and a list of key terms.
|NCES 2017147||Best Practices for Determining Subgroup Size in
Accountability Systems While Protecting Personally
Identifiable Student Information
The Every Student Succeeds Act (ESSA) of 2015 (Public Law 114-95) requires each state to create a plan for its statewide accountability system. In particular, ESSA calls for state plans that include strategies for reporting education outcomes by grade for all students and for economically disadvantaged students, students from major racial and ethnic groups, students with disabilities, and English learners. In their plans, states must specify a single value for the minimum number of students needed to provide statistically sound data for all students and for each subgroup, while protecting personally identifiable information (PII) of individual students. This value is often referred to as the "minimum n-size."
Choosing a minimum n-size is complex and involves important and difficult trade-offs. For example, the selection of smaller minimum n-sizes will ensure that more students' outcomes are included in a state's accountability system, but smaller n-sizes can also increase the likelihood of the inadvertent disclosure of PII. Similarly, smaller minimum n-sizes enable more complete data to be reported, but they may also affect the reliability and statistical validity of the data.
To inform this complex decision, Congress required the Institute of Education Sciences (IES) of the U.S. Department of Education to produce and widely disseminate a report on "best practices for determining valid, reliable, and statistically significant minimum numbers of students for each of the subgroups of students" (Every Student Succeeds Act of 2015 (ESSA 2015), Public Law 114-95). Congress also directed that the report describe how such a minimum number "will not reveal personally identifiable information about students." ESSA prohibits IES from recommending any specific minimum number of students in a subgroup (Section 9209).
IES produced this report to assist states as they develop accountability systems that (1) comply with ESSA; (2) incorporate sound statistical practices and protections; and (3) meet the information needs of state accountability reporting, while still protecting the privacy of individual students.
As presented in this report, the minimum n-size refers to the lowest statistically defensible subgroup size that can be reported in a state accountability system. Before getting started, it is important to understand that the minimum n-size a state establishes and the privacy protections it implements will directly determine how much data will be publicly reported in the system.
|NCES 2017012||NATES 2013: Nonresponse Bias Analysis Report
The 2013 National Adult Training and Education Survey (NATES) was a pilot study that tested the feasibility of using address-based sampling and a mailed questionnaire to collect data on the education, training, and credentials of U.S. adults. This report presents study findings related to nonresponse bias. Nonresponse adjustments corrected for bias on key outcome measures, but not for many background variables. Auxiliary data were found to be of potential use in correcting this bias.