Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 6 |
Since 2006 (last 20 years) | 26 |
Descriptor
Source
Author
Johnson, Terry | 2 |
Leavy, Patricia, Ed. | 2 |
Alkin, Marvin C. | 1 |
Almond, Russell G. | 1 |
Anderson, Kea | 1 |
André O. Hudson | 1 |
Baker, Betsy | 1 |
Bank, Adrianne | 1 |
Bishop, Anne G. | 1 |
Blackwell, Matthew | 1 |
Blumberg, Carol Joyce | 1 |
More ▼ |
Publication Type
Education Level
Audience
Researchers | 77 |
Practitioners | 25 |
Administrators | 18 |
Teachers | 11 |
Policymakers | 5 |
Students | 5 |
Counselors | 1 |
Media Staff | 1 |
Location
Denmark | 2 |
United Kingdom | 2 |
United States | 2 |
Africa | 1 |
Australia | 1 |
Bulgaria | 1 |
Burkina Faso | 1 |
Canada | 1 |
China | 1 |
Ethiopia | 1 |
India | 1 |
More ▼ |
Laws, Policies, & Programs
Job Training Partnership Act… | 4 |
Education Consolidation… | 1 |
Elementary and Secondary… | 1 |
Assessments and Surveys
ACT Assessment | 1 |
What Works Clearinghouse Rating
Daniel A. Mak; Sebastian Dunn; David Coombes; Carlo R. Carere; Jane R. Allison; Volker Nock; André O. Hudson; Renwick C. J. Dobson – Biochemistry and Molecular Biology Education, 2024
Enzymes are nature's catalysts, mediating chemical processes in living systems. The study of enzyme function and mechanism includes defining the maximum catalytic rate and affinity for substrate/s (among other factors), referred to as enzyme kinetics. Enzyme kinetics is a staple of biochemistry curricula and other disciplines, from molecular and…
Descriptors: Biochemistry, Kinetics, Science Instruction, Teaching Methods
Doroudi, Shayan – AERA Open, 2020
In addition to providing a set of techniques to analyze educational data, I claim that data science as a field can provide broader insights to education research. In particular, I show how the bias-variance tradeoff from machine learning can be formally generalized to be applicable to several prominent educational debates, including debates around…
Descriptors: Data Analysis, Learning Theories, Teaching Methods, Educational Research
Leavy, Patricia, Ed. – Oxford University Press, 2020
"The Oxford Handbook of Qualitative Research, Second Edition" presents a comprehensive, interdisciplinary overview of the field of qualitative research. Divided into eight parts, the forty chapters address key topics in the field such as approaches to qualitative research (philosophical perspectives), narrative inquiry, field research,…
Descriptors: Qualitative Research, History, Ethics, Philosophy
Office of Educational Technology, US Department of Education, 2017
The National Education Technology Plan (NETP) sets a national vision and plan for learning enabled by technology through building on the work of leading education researchers; district, school, and higher education leaders; classroom teachers; developers; entrepreneurs; and nonprofit organizations. The principles and examples provided in this…
Descriptors: Educational Technology, Technology Uses in Education, Educational Legislation, Elementary Secondary Education
International Association for the Evaluation of Educational Achievement, 2022
The Responses to Educational Disruption Survey (REDS), conducted by the International Association for the Evaluation of Educational Achievement (IEA), studied how teaching and learning were affected by the disruptions caused by COVID-19 and aimed to paint a picture of national responses to the global pandemic. REDS was based on the premise that…
Descriptors: Teaching Methods, Learning Processes, Principals, Administrator Attitudes
Blackwell, Matthew; Honaker, James; King, Gary – Sociological Methods & Research, 2017
We extend a unified and easy-to-use approach to measurement error and missing data. In our companion article, Blackwell, Honaker, and King give an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we offer more precise technical details, more sophisticated measurement error model…
Descriptors: Error of Measurement, Correlation, Simulation, Bayesian Statistics
Leavy, Patricia, Ed. – Oxford University Press, 2014
"The Oxford Handbook of Qualitative Research" presents a comprehensive overview of the field of qualitative research. It is intended for students of all levels, faculty, and researchers across the social sciences. The contributors represent some of the most influential and innovative researchers in the field as well as emerging scholars.…
Descriptors: Qualitative Research, History, Ethics, Philosophy
Means, Barbara; Anderson, Kea – Office of Educational Technology, US Department of Education, 2013
This report describes how big data and an evidence framework can align across five contexts of educational improvement. It explains that before working with big data, there is an important prerequisite: the proposed innovation should align with deeper learning objectives and should incorporate sound learning sciences principles. New curriculum…
Descriptors: Educational Technology, Technology Uses in Education, Educational Resources, Individualized Instruction
Finch, Holmes; Monahan, Patrick – Applied Measurement in Education, 2008
This article introduces a bootstrap generalization to the Modified Parallel Analysis (MPA) method of test dimensionality assessment using factor analysis. This methodology, based on the use of Marginal Maximum Likelihood nonlinear factor analysis, provides for the calculation of a test statistic based on a parametric bootstrap using the MPA…
Descriptors: Monte Carlo Methods, Factor Analysis, Generalization, Methods
Alkin, Marvin C. – Guilford Publications, 2010
Written in a refreshing conversational style, this text thoroughly prepares students, program administrators, and new evaluators to conduct evaluations or to use them in their work. The book's question-driven focus and clear discussions about the importance of fostering evaluation use by building collaborative relationships with stakeholders set…
Descriptors: Evaluators, Evaluation Methods, Stakeholders, Data Analysis
Symonds, Jennifer E.; Gorard, Stephen – Evaluation & Research in Education, 2010
The classification by many scholars of numerical research processes as quantitative and other research techniques as qualitative has prompted the construction of a third category, that of "mixed methods", to describe studies that use elements from both processes. Such labels might be helpful in structuring our understanding of phenomena. But they…
Descriptors: Research Methodology, Social Sciences, Evaluation Methods, Research Design
Maxwell, Joseph A. – Qualitative Inquiry, 2010
The use of numerical/quantitative data in qualitative research studies and reports has been controversial. Prominent qualitative researchers such as Howard Becker and Martyn Hammersley have supported the inclusion of what Becker called "quasi-statistics": simple counts of things to make statements such as "some," "usually," and "most" more…
Descriptors: Qualitative Research, Methods Research, Statistical Data, Data Collection
Hadfield, Mark; Haw, Kaye – International Journal of Research & Method in Education, 2012
In this article, we set out to explore what we describe as the use of video in various modalities. For us, modality is a synthesizing construct that draws together and differentiates between the notion of "video" both as a method and as a methodology. It encompasses the use of the term video as both product and process, and as a data…
Descriptors: Foreign Countries, Video Technology, Educational Research, Research Design
de la Torre, Jimmy – Applied Psychological Measurement, 2008
Recent work has shown that multidimensionally scoring responses from different tests can provide better ability estimates. For educational assessment data, applications of this approach have been limited to binary scores. Of the different variants, the de la Torre and Patz model is considered more general because implementing the scoring procedure…
Descriptors: Markov Processes, Scoring, Data Analysis, Item Response Theory
Vaughn, Brandon K.; Wang, Qui – Journal of Experimental Education, 2008
The authors consider the problem of classifying an unknown observation into 1 of several populations by using tree-structured allocation rules. Although many parametric classification procedures are robust to certain assumption violations, there is need for classification procedures that can be used regardless of the group-conditional…
Descriptors: Classification, Regression (Statistics), Discriminant Analysis, Monte Carlo Methods