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Vriesema, Christine Calderon; Gehlbach, Hunter – Educational Researcher, 2021
Education researchers use surveys widely. Yet, critics question respondents' ability to provide high-quality responses. As schools increasingly use student surveys to drive local policy making, respondents' (lack of) motivation to provide quality responses may threaten the wisdom of using questionnaires for data-based decision making. To better…
Descriptors: Educational Research, Educational Researchers, Research Methodology, Student Surveys
Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
Emerging practices in both K-12 and higher education hold great promise in the establishment of equity frameworks. The use of finely disaggregated data, the effort to track additional student groups, and related work, all help to establish policies and tools to monitor the impact of reform efforts to address inequities. State programs and…
Descriptors: Equal Education, State Programs, African American Students, Hispanic American Students
von Zastrow, Claus; Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…
Descriptors: Data Analysis, Student Characteristics, Data Collection, Barriers
Sugarman, Julie – Migration Policy Institute, 2018
In recent years, education data have become both more easily accessible and more important than ever to decisions about K-12 policies and practice. Under the "Every Student Succeeds Act" (ESSA), states are required to publish data on how students, including English Learners (ELs), are performing in areas such as reading, math, and…
Descriptors: English Language Learners, Data Collection, Data Analysis, Student Characteristics
National Assessment Governing Board, 2017
Since 1973, the National Assessment of Educational Progress (NAEP) has gathered information about student achievement in mathematics. Results of these periodic assessments, produced in print and web-based formats, provide valuable information to a wide variety of audiences. They inform citizens about the nature of students' comprehension of the…
Descriptors: Mathematics Tests, Mathematics Achievement, Mathematics Instruction, Grade 4
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Jenkins, Jade Marcus; Farkas, George; Duncan, Greg J.; Burchinal, Margaret; Vandell, Deborah Lowe – Educational Evaluation and Policy Analysis, 2016
As policymakers contemplate expanding preschool opportunities for low-income children, one possibility is to fund 2, rather than 1 year of Head Start for children at ages 3 and 4. Another option is to offer 1 year of Head Start followed by 1 year of pre-K. We ask which of these options is more effective. We use data from the Oklahoma pre-K study…
Descriptors: Kindergarten, Early Childhood Education, Preschool Education, Data Analysis
Fraillon, Julian; Schulz, Wolfram; Ainley, John – International Association for the Evaluation of Educational Achievement, 2013
The purpose of the International Computer and Information Literacy Study 2013 (ICILS 2013) is to investigate, in a range of countries, the ways in which young people are developing "computer and information literacy" (CIL) to support their capacity to participate in the digital age. To achieve this aim, the study will assess student…
Descriptors: Computer Literacy, Information Literacy, Computer Assisted Testing, Data Analysis
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Toutkoushian, Robert K. – New Directions for Institutional Research, 2008
Many public university systems rely on their own institutional research (IR) offices, in addition to the IR offices from their member institutions, to help conduct the work of the university system. In this chapter, the author illustrates the type of work conducted by system-level IR offices using a nontraditional data source that can be used to…
Descriptors: Higher Education, Institutional Research, Long Range Planning, Educational Trends
Pokela, Julianne; Steblea, Ingrid; Shea, Linda; Denny, Elizabeth – Wallace Foundation, The, 2007
Conducting market research for out-of-school-time planning can replace assumptions with facts, give kids and parents a voice to express their needs and preferences, and help build stakeholder buy-in and support. This practical guide shows community leaders, policymakers and out-of-school-time practitioners how to use market research to make more…
Descriptors: Community Leaders, Marketing, Research, After School Education
West, Jerry; And Others – 1985
Responses to the problems of secondary school education must be predicated on reliable information on student participation in mathematics, science, computer science, vocational education, and general education. This analysis summarized 1981-1982 High School and Beyond student transcript data to identify course-taking patterns relative to each of…
Descriptors: Computer Science Education, Data Analysis, Educational Research, Enrollment Trends
Yankosky, Richard E.; Andrew, Loyd – 1991
The purpose of this study of the proprietary sector of postsecondary education was to examine in detail exactly what population it serves, types of services provided, and the degree to which financial aid packaging helps students. A representative sample of 3,837 students attending less-than-two-year and two-year proprietary schools in the United…
Descriptors: College Students, Comparative Analysis, Data Analysis, Enrollment
Astin, Alexander W.; And Others – 1991
This report presents national normative data on the major trends and characteristics of 1.6 million students attending American colleges and universities as first-time, full-time freshmen. The normative data are reported separately for men and for women and for 35 different institutional groupings. Among the findings are the following: (1) student…
Descriptors: Attitude Change, College Freshmen, Data Analysis, Data Collection
Adelman, Clifford – 1995
This report presents a taxonomy of precisely what is studied, where, and by whom, in universities, community colleges, and postsecondary trade schools in the United States. It is based on data from the National Longitudinal Study of the High School Class of 1972 (NLS-72) and the High School and Beyond/Sophomores (HSB/So) survey of high school…
Descriptors: Academic Records, Classification, Codification, Course Selection (Students)