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Attendance Works, 2024
This brief is our fourth annual review of how states are and could make a difference in school attendance with new policies and practices. Reversing today's chronic absenteeism requires state leaders to make reducing chronic absence a priority. In our work with states, we see how state leadership, especially from governors and state education…
Descriptors: Attendance, State Policy, Educational Policy, Data Collection
Cody Gene Singer – ProQuest LLC, 2023
College and university enrollment has decreased nationwide every year for more than a decade as educational consumers increasingly question the value of higher education and discover alternatives to the traditional university system. Enrollment professionals seeking growth are tasked to develop and implement innovative solutions to address…
Descriptors: Data Collection, Predictor Variables, Electronic Learning, Enrollment
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Ford, Karly S.; Rosinger, Kelly O.; Choi, Junghee; Pulido, Gabriel – Educational Researcher, 2021
Many postsecondary datasets collect gender data in ways that are not inclusive of all students. Many trans* students, those who identify as trans women, trans men, genderqueer, among other gender identities, are excluded when surveys collect gender data using only two categories. The American Bar Association recently became the first sector of…
Descriptors: Sexual Identity, LGBTQ People, Data Collection, College Students
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Romano, Richard M.; D'Amico, Mark M. – Change: The Magazine of Higher Learning, 2021
Multiple studies show that outcomes, whether they be better degree completion rates or successful short-term workforce training, are negatively affected by inadequate funding (Kahlenberg, 2015). To bolster their case for underfunding, researchers and college advocacy groups produce studies that rely on an important federal dataset--the Integrated…
Descriptors: Data, Federal Programs, Community Colleges, Full Time Students
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Ford, Karly S.; Rosinger, Kelly; Choi, Junghee – Policy Futures in Education, 2022
Policy researchers have difficulty understanding stratification in enrollment in US higher education when race and ethnicity data are plagued by missing values. Students who decline to ethnoracially self-identify become part of a "race unknown" reporting category. In undergraduate enrollment, "race unknown" students are not…
Descriptors: Admission (School), Competitive Selection, Race, Ethnicity
Pretlow, Josh; Dunlop Velez, Erin; Roberson, Amanda Janice – Institute for Higher Education Policy, 2021
We cannot continue to ask students -- and their families -- to make one of the largest and most important investments of their lives without clearer information about what their time and money will yield. In partnership with RTI International (RTI), operating in an independent capacity, IHEP is gathering expert insights needed to support making…
Descriptors: College Students, Data, Information Networks, Federal Programs
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Broughman, Stephen; Kincel, Brian; Peterson, Jennifer – National Center for Education Statistics, 2022
The Private School Universe Survey (PSS) is conducted by the National Center for Education Statistics (NCES) on behalf of the U.S. Department of Education to collect basic information on American private elementary and secondary schools. PSS is currently designed to generate biennial data on the total number of private schools, teachers, and…
Descriptors: School Surveys, Private Schools, Elementary Schools, Secondary Schools
Goldhaber, Dan; Holden, Kristian L. – Phi Delta Kappan, 2021
Understanding the early teacher pipeline, how many and what types of individuals are pursuing a teaching credential, is critically important. Unfortunately, as Dan Goldhaber and Kris Holden explain, the two national data collections that can be used to explore these areas provide incomplete and sometimes contrasting pictures about the number of…
Descriptors: Career Choice, Teaching (Occupation), Data Collection, Teacher Education Programs
von Zastrow, Claus; Perez, Zeke, Jr. – Education Commission of the States, 2019
This 50-State Comparison assesses the capacity of all 50 states and the District of Columbia to aggregate and report on arts education data already housed in statewide education data systems. This interactive resource focuses on key arts education questions identified in "Using State Data Systems to Report Information on Arts Education"…
Descriptors: Art Education, Data Collection, Data Analysis, School Catalogs
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Jennifer Wine; Beth Hustedt; Jennifer Cooney; Erin Thomsen – National Center for Education Statistics, 2023
This report describes the design, methods, and results of the 2016/20 Baccalaureate and Beyond Longitudinal Study (B&B:16/20) conducted by the U.S. Department of Education's National Center for Education Statistics (NCES). It is the second follow-up with a cohort of bachelor's degree recipients originally identified during the 2015-16 National…
Descriptors: Longitudinal Studies, College Graduates, Bachelors Degrees, College Students
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Davaasambuu, Sarantsetseg; Cinelli, Jessica; D'Alessandro, Mark; Hamid, Phillip; Audant, Babette – Community College Journal of Research and Practice, 2019
Noncredit enrollment at community colleges has grown significantly over the past two decades. However, unlike credit bearing programs, noncredit programs are seldomly empirically examined and evaluated, particularly those that are not grant funded. The lack of data results in a gap in knowledge about program effectiveness, as well as the students…
Descriptors: Noncredit Courses, Community Colleges, Data Collection, Educational Research
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Siegel, Peter; Ramirez, Nestor; Johnson, Ruby – National Center for Education Statistics, 2021
This publication describes the methods and procedures used for the 2017-18 National Postsecondary Student Aid Study, Administrative Collection (NPSAS:18-AC). It also provides information that will be helpful to analysts in accessing and understanding the restricted-use files containing the NPSAS:18-AC data. NPSAS:18-AC includes cross-sectional,…
Descriptors: Student Financial Aid, College Students, Postsecondary Education, Institutional Characteristics
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Motz, Benjamin; Busey, Thomas; Rickert, Martin; Landy, David – International Educational Data Mining Society, 2018
Analyses of student data in post-secondary education should be sensitive to the fact that there are many different topics of study. These different areas will interest different kinds of students, and entail different experiences and learning activities. However, it can be challenging to identify the distinct academic themes that students might…
Descriptors: Data Collection, Data Analysis, Enrollment, Higher Education
Advance CTE: State Leaders Connecting Learning to Work, 2019
Youth apprenticeship programs can give students access to valuable work-based learning experiences that provide insights into how their interest can connect to education and the workforce. Although these programs are often beneficial for participants, there is little data to show the programmatic landscape and impact. There are many challenges…
Descriptors: Youth Programs, Apprenticeships, Accountability, Data Collection
Nathan Lieng; Jason L. Morín; Que-Lam Huynh; Janet S. Oh – Association for Institutional Research, 2024
Higher education leaders have repeatedly called for improved diversity, equity, and inclusion efforts, but many institutions continue to fall short. Data can play an integral role in this work; key among them are data on student demographics, including race/ethnicity. Meeting diversity, equity, and inclusion goals requires a thorough and nuanced…
Descriptors: Data Collection, Data Analysis, Data Use, Minority Group Students
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