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Swygart-Hobaugh, Mandy; Anderson, Raeda; George, Denise; Glogowski, Joel – College & Research Libraries, 2022
We present findings from an exploratory quantitative content analysis case study of 156 doctoral dissertations from Georgia State University that investigates doctoral student researchers' methodology practices (used quantitative, qualitative, or mixed methods) and data practices (used primary data, secondary data, or both). We discuss the…
Descriptors: Doctoral Dissertations, Doctoral Students, Research Methodology, Data Collection
Data Quality Campaign, 2022
State legislators have the opportunity to create and support legislation that positions data as a tool to help decisionmakers at all levels take action to support student success. This checklist can serve as a guide to crafting legislation that addresses education data. It applies specifically to education data legislation which includes bills…
Descriptors: State Legislation, Data Collection, Data Analysis, Educational Policy
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Cornman, Stephen Q.; O'Reilly, Nora; Ampadu, Osei; Caskey, Melinda; Vidal, Phil – National Center for Education Statistics, 2022
In 2019, the National Center for Education Statistics (NCES) began exploratory data collection for the School Pension Survey (SPS). The SPS is a new data collection of elementary/secondary school teacher pension data collected at the school district level. The SPS was developed primarily in response to public demand for data on teacher and other…
Descriptors: Retirement Benefits, Teacher Retirement, Elementary School Teachers, Secondary School Teachers
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Morelock, John R.; Sochacka, Nicola W.; Lewis, Racheida S.; Walther, Joachim; Culloty, Christian M.; Hopkins, Jacob S.; Vedanarayanan, Shweta; Ofunne, Chukwuemeka K. – Advances in Engineering Education, 2020
This paper describes the use of a novel research platform called SenseMaker® to collect and analyze real-time data in the form of participants' qualitative accounts of COVID-19 along with online learning experiences and participants' own quantitative assessments of those experiences. Participants were faculty, students, and staff in the College of…
Descriptors: COVID-19, Pandemics, Online Courses, Distance Education
Jennifer L. Richards; Michael R. Kramer – Sage Research Methods Cases, 2017
Collecting the perfect data to answer a research question is optimal but not always feasible. Sometimes existing data can be leveraged to answer some questions, but this opportunity comes with important potential pitfalls. To test the effect of early life exposures such as being born preterm or living in a materially deprived neighborhood on early…
Descriptors: Grade 1, Longitudinal Studies, Prenatal Influences, Perinatal Influences
King, Carlise; Perkins, Victoria – Early Childhood Data Collaborative, 2020
Over the last decade, state efforts to build stronger data infrastructure and integrate data about early childhood services have continued to grow. A stronger data infrastructure supports states in more easily linking data across programs, which in turn makes it easier to analyze and use that data to answer important policy questions. An Early…
Descriptors: Educational Finance, Financial Support, Home Visits, Early Childhood Education
Campaign for College Opportunity, 2019
With over 37 million residents, California is the most populous state in the country. California's primary and secondary schools enroll over 6.2 million students,1 and there are 3.4 million undergraduates attending 683 postsecondary institutions in California. Yet, because of the lack of a strong data infrastructure, we are unable to answer basic…
Descriptors: Data Collection, Data Analysis, Higher Education, Access to Education
Center on Standards and Assessments Implementation, 2018
The recommendations in this brief create a framework for using data effectively to make instructional decisions. The availability of student-level data for educators has pushed forward the movement to strengthen the role of data to guide instruction and improve student learning. While improvements in technology and assessments, as well as recent…
Descriptors: Student Evaluation, Information Utilization, Data Collection, Data Analysis
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Craft, Christy Moran; Augustine-Shaw, Donna; Fairbanks, Amanda; Adams-Wright, Gayla – NACADA Journal, 2016
Because almost one half of students enrolled in American doctoral programs do not complete their degrees, the factors that lead to doctoral student attrition need to be identified. Research suggests that the nature of the advisor-advisee relationship contributes to the persistence levels of doctoral students. In this study, we conducted a content…
Descriptors: Doctoral Programs, Graduate Students, Faculty Advisers, Academic Advising
Frank, Stephen; Trawick-Smith, Joseph – Education Resource Strategies, 2014
K-12 education resources are often allocated non-strategically, with schools spending time and money on activities that have little relationship to student outcomes. Most of these decisions take place within districts, rooted in the processes of setting schedules, staffing levels, and assignments, and creating final budgets. Local Education…
Descriptors: State Agencies, School Districts, Elementary Secondary Education, Resource Allocation
Wolf, Mary Ann; Jones, Rachel; Hall, Sara; Wise, Bob – Alliance for Excellent Education, 2014
The field of learning analytics is being discussed in many circles as an emerging concept in education. In many districts and states, the core philosophy behind learning analytics is not entirely new; for more than a decade, discussions of data-driven decision making and the use of data to drive instruction have been common. Still, the U.S.…
Descriptors: Educational Research, Data Collection, Data Analysis, Capacity Building
Caron, B.; Kendall, R.; Wilson, G.; Hash. M. – Early Learning Challenge Technical Assistance, 2017
The Early Learning Challenge (ELC) program awarded more than $1 billion in four-year grants to 20 States to implement comprehensive and cohesive high-quality early learning systems that support young children with high needs and their families. A key lever in making these improvements was the enhancement of States' Quality Rating and Improvement…
Descriptors: Early Childhood Education, Young Children, Student Needs, Quality Control
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Jayaprakash, Sandeep M.; Moody, Erik W.; Lauría, Eitel J. M.; Regan, James R.; Baron, Joshua D. – Journal of Learning Analytics, 2014
The Open Academic Analytics Initiative (OAAI) is a collaborative, multi-year grant program aimed at researching issues related to the scaling up of learning analytics technologies and solutions across all of higher education. The paper describes the goals and objectives of the OAAI, depicts the process and challenges of collecting, organizing and…
Descriptors: At Risk Students, College Students, Open Source Technology, Data Analysis
Sykes, Andrea R.; Szuplat, Mary A.; Decker, Cynthia G. – Office of Career, Technical, and Adult Education, US Department of Education, 2014
Federal policymakers have interest in three specific areas of postsecondary career and technical education (CTE): associate degrees and certificates awarded in CTE, skills and training obtained through noncredit courses, and industry-recognized certifications. Research and data are readily available on students earning degrees and certificates in…
Descriptors: Educational Certificates, Vocational Education, Noncredit Courses, Outcomes of Education
Jolin, Michele; Schmitz, Paul; Seldon, Willa – Bridgespan Group, 2012
Communities face powerful challenges--a high-school dropout epidemic, youth unemployment, teen pregnancy--that require powerful solutions. In a climate of increasingly constrained resources, those solutions must help communities to achieve more with less. A new kind of community collaborative--an approach that aspires to significant,…
Descriptors: College Readiness, Employment Qualifications, Career Development, Job Skills
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