Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 7 |
Since 2016 (last 10 years) | 29 |
Since 2006 (last 20 years) | 65 |
Descriptor
Data Analysis | 132 |
Data Collection | 132 |
Longitudinal Studies | 132 |
Research Methodology | 48 |
National Surveys | 38 |
Research Design | 29 |
Questionnaires | 27 |
Followup Studies | 25 |
Educational Research | 23 |
Higher Education | 21 |
Sampling | 19 |
More ▼ |
Source
Author
Ingels, Steven J. | 12 |
Pratt, Daniel J. | 4 |
Rogers, James E. | 4 |
Dever, Jill A. | 2 |
Dillow, Sally A. | 2 |
Fritch, Laura Burns | 2 |
Geddes, Claire | 2 |
Herget, Deborah R. | 2 |
Khattri, Nidhi | 2 |
Kitmitto, Sami | 2 |
Kugle, Cherry | 2 |
More ▼ |
Publication Type
Education Level
Location
North Carolina | 4 |
California | 3 |
Ohio | 3 |
Tennessee | 3 |
United Kingdom | 3 |
Arkansas | 2 |
Florida | 2 |
Georgia | 2 |
Hawaii | 2 |
Louisiana | 2 |
New Jersey | 2 |
More ▼ |
Laws, Policies, & Programs
No Child Left Behind Act 2001 | 3 |
Elementary and Secondary… | 2 |
Individuals with Disabilities… | 2 |
Education Consolidation… | 1 |
Family Educational Rights and… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
David Hodgson; Reinie Cordier; Lauren Parsons; Brontë Walter; Fadzai Chikwava; Lynelle Watts; Stian Thoresen; Matthew Martinez; Donna Chung – International Journal of Social Research Methodology, 2024
Managing and analysing large qualitative datasets pose a particular challenge for researchers seeking a consistent and rigorous approach to qualitative data analysis. This paper describes and demonstrates the development and adoption of a matrix tool to guide the qualitative data analysis of a large sample (N = 122) of interview data. The paper…
Descriptors: Research Methodology, Data Analysis, Data Collection, Matrices
Wu, Wei; Jia, Fan – New Directions for Child and Adolescent Development, 2021
Longitudinal panel studies are widely used in developmental science to address important research questions on human development across the lifespan. These studies, however, are often challenging to implement. They can be costly, time-consuming, and vulnerable to test--retest effects or high attrition over time. Planned missingness designs (PMDs),…
Descriptors: Longitudinal Studies, Research Design, Data Analysis, Developmental Psychology
Hutt, Stephen; Das, Sanchari; Baker, Ryan S. – International Educational Data Mining Society, 2023
The General Data Protection Regulation (GDPR) in the European Union contains directions on how user data may be collected, stored, and when it must be deleted. As similar legislation is developed around the globe, there is the potential for repercussions across multiple fields of research, including educational data mining (EDM). Over the past two…
Descriptors: Data Analysis, Decision Making, Data Collection, Foreign Countries
Amaliah, Dewi; Cook, Dianne; Tanaka, Emi; Hyde, Kate; Tierney, Nicholas – Journal of Statistics and Data Science Education, 2022
Textbook data is essential for teaching statistics and data science methods because it is clean, allowing the instructor to focus on methodology. Ideally textbook datasets are refreshed regularly, especially when they are subsets taken from an ongoing data collection. It is also important to use contemporary data for teaching, to imbue the sense…
Descriptors: Statistics Education, Data Science, Textbooks, Data Analysis
Siddiqi, Javaid; Sims, Patrick C.; Goff, Allison L. – Hunt Institute, 2019
The rise of data collection in the public and private sectors has presented policymakers with an unprecedented opportunity to leverage vast amounts of data to create more efficient systems, improve program performance, and drive equitable outcomes. Empowering policymakers and practitioners with functional access to accurate data has the potential…
Descriptors: Longitudinal Studies, Data Collection, Data Analysis, Data Use
Education Trust-West, 2019
With Governor Newsom's signature on the state budget in June 2019, California is finally on the path to joining the majority of other states in the country who have robust data systems. Having this administration provide funding to begin to build and maintain a statewide longitudinal data system (SLDS) is an important win. Advocates have been…
Descriptors: Longitudinal Studies, Data Collection, Equal Education, Family Involvement
Cominole, Melissa; Ritchie, Nichole Smith; Cooney, Jennifer – National Center for Education Statistics, 2021
This publication describes the methods and procedures used for the 2008/18 Baccalaureate and Beyond Longitudinal Study (B&B:08/18). The B&B graduates, who completed the requirements for a bachelor's degree during the 2007-08 academic year, were first surveyed as part of the 2008 National Postsecondary Student Aid Study (NPSAS:08), and then…
Descriptors: Bachelors Degrees, College Graduates, Longitudinal Studies, Data Collection
Singer, Judith D. – Journal of Research on Educational Effectiveness, 2019
The arc of quantitative educational research should not be etched in stone but should adapt and change over time. In this article, I argue that it is time for a reshaping by offering my personal view of the past, present and future of our field. Educational research--and research in the social and life sciences--is at a crossroads. There are many…
Descriptors: Educational Research, Research Methodology, Longitudinal Studies, Evaluation
Rammstedt, Beatrice; Martin, Silke; Zabal, Anouk; Carstensen, Claus; Schupp, Jürgen – Large-scale Assessments in Education, 2017
In Germany, the respondents who had participated in the 2012 survey of the Programme for the International Assessment of Adult Competencies (PIAAC) were re-approached for the panel study PIAAC-L. PIAAC-L aims at investigating the longitudinal effects of skill outcomes over the life course and the development of the key skills assessed in PIAAC.…
Descriptors: Foreign Countries, International Assessment, Adults, Competence
Agley, Jon; Tidd, David; Jun, Mikyoung; Eldridge, Lori; Xiao, Yunyu; Sussman, Steve; Jayawardene, Wasantha; Agley, Daniel; Gassman, Ruth; Dickinson, Stephanie L. – Educational and Psychological Measurement, 2021
Prospective longitudinal data collection is an important way for researchers and evaluators to assess change. In school-based settings, for low-risk and/or likely-beneficial interventions or surveys, data quality and ethical standards are both arguably stronger when using a waiver of parental consent--but doing so often requires the use of…
Descriptors: Data Analysis, Longitudinal Studies, Data Collection, Intervention
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
Garvey, Jason C.; Hart, Jeni; Metcalfe, Amy Scott; Fellabaum-Toston, Jennifer – Review of Higher Education, 2019
We examine the American landscape of higher education quantitative research concerning how gender and sex demographic information is collected. We use a directed content analysis to examine the prevalence and operationalization of gender and sex among widely used higher education survey instruments. Our findings illuminate a seemingly haphazard…
Descriptors: Research Problems, Educational Research, Higher Education, Data Collection
Peterson, Jean S. – Gifted Child Quarterly, 2019
Intended to guide scholars who are new to qualitative research, this methods brief focuses mostly on what reviewers look for in manuscripts submitted for publication. The author acknowledges that reviewers' preferences likely reflect their theoretical perspectives, research-oriented coursework, mentors, and research and writing experiences. The…
Descriptors: Academically Gifted, Qualitative Research, Educational Research, Vocabulary
Data Quality Campaign, 2021
The 2020 election brought about legislative change across the country. New and veteran policymakers need information about the schools in their state. What programs are the most cost effective and work best for students? How can states attract and retain great teachers? What information do parents need to ensure that their kids are on track to…
Descriptors: Educational Policy, Policy Formation, Data Collection, Data Analysis
Pallavi Amitava Banerjee – Sage Research Methods Cases, 2017
This case study evaluated the impact of science, technology, engineering, and mathematics initiatives in improving educational outcomes in the United Kingdom. Using secondary data in the form of official datasets approved by the national pupil database, Year 7 cohort was longitudinally followed from the beginning of Key Stage 3 till the end of Key…
Descriptors: Evidence Based Practice, Educational Policy, Data, Educational Practices