Publication Date
| In 2026 | 0 |
| Since 2025 | 18 |
| Since 2022 (last 5 years) | 85 |
| Since 2017 (last 10 years) | 227 |
| Since 2007 (last 20 years) | 562 |
Descriptor
| Data Analysis | 796 |
| Problem Solving | 307 |
| Research Problems | 214 |
| Foreign Countries | 213 |
| Data Collection | 142 |
| Research Methodology | 142 |
| Behavior Problems | 106 |
| Models | 91 |
| Teaching Methods | 88 |
| Statistical Analysis | 74 |
| Research Design | 68 |
| More ▼ | |
Source
Author
| Barnes, Tiffany | 5 |
| Chi, Min | 4 |
| English, Lyn D. | 4 |
| Little, Todd D. | 4 |
| Tuma, Nancy Brandon | 4 |
| Hannan, Michael T. | 3 |
| Kratochwill, Thomas R. | 3 |
| Mostafavi, Behrooz | 3 |
| Robitzsch, Alexander | 3 |
| Allison, Derek J. | 2 |
| Biswas, Gautam | 2 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 17 |
| Teachers | 2 |
| Counselors | 1 |
| Policymakers | 1 |
| Practitioners | 1 |
Location
| Australia | 29 |
| Turkey | 26 |
| Canada | 17 |
| United States | 14 |
| California | 13 |
| United Kingdom | 12 |
| South Africa | 8 |
| Spain | 7 |
| United Kingdom (England) | 7 |
| Arizona | 6 |
| China | 6 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 1 |
| Meets WWC Standards with or without Reservations | 1 |
| Does not meet standards | 1 |
Peer reviewed
Direct linkMarah Sutherland; David Fainstein; Taylor Lesner; Georgia L. Kimmel; Ben Clarke; Christian T. Doabler – Grantee Submission, 2024
Being able to understand, interpret, and critically evaluate data is necessary for all individuals in our society. Using the PreK-12 Guidelines for Assessment and Instruction in Statistics Education-II (GAISE-II; Bargagliotti et al., 2020) curriculum framework, the current paper outlines five evidence-based recommendations that teachers can use to…
Descriptors: Statistics Education, Mathematics Skills, Skill Development, Data Analysis
Kelsey N. Klindt; Alice Ann Holland; Alison Wilkinson-Smith; Catherine Karni; Alexis Clyde – Journal of Psychoeducational Assessment, 2024
Parent rating scales are used at increasing rates across disciplines to track child development and determine diagnoses/needs. This study explored relationships among parental stress and the validity of parents' ratings of their child's behaviors. Participants include children who were referred for assessment of behavioral, social-emotional, and…
Descriptors: Parent Attitudes, Rating Scales, Stress Variables, Child Behavior
S. Mabungane; S. Ramroop; H. Mwambi – African Journal of Research in Mathematics, Science and Technology Education, 2023
The issue of missing data raises concerns in all statistical and educational research. In this study, we focus on missing data in school-based assessment data generated by progressed high school learners (those who did not meet the promotional requirements for their current grades but were allowed to move to the next grade because of policy…
Descriptors: Data Analysis, Research Problems, High School Students, Student Promotion
William Reid Carlisle; Hyunyi Jung; Megan H. Wickstrom; Kayla Sutcliffe; Hee-jeong Kim – International Journal of Science and Mathematics Education, 2025
Although culturally responsive mathematics teaching is important, post-secondary education for preservice teachers (PTs) does not typically lead to learning opportunities for them to use mathematics to recognize the roles of social agents. To address this issue, we created a culturally responsive mathematical modeling task in which we invited PTs…
Descriptors: Mathematical Models, Culturally Relevant Education, Mathematics Education, Preservice Teacher Education
Download full textWan-Chong Choi; Chan-Tong Lam; António José Mendes – International Educational Data Mining Society, 2025
Missing data presents a significant challenge in Educational Data Mining (EDM). Imputation techniques aim to reconstruct missing data while preserving critical information in datasets for more accurate analysis. Although imputation techniques have gained attention in various fields in recent years, their use for addressing missing data in…
Descriptors: Research Problems, Data Analysis, Research Methodology, Models
Murphy, Rick – Emotional & Behavioural Difficulties, 2022
A rising number of children are permanently excluded from school each year in England. Children's experiences of exclusion are underrepresented in the literature, effectively giving prominence to the views and interpretations of researchers. This qualitative study uses semi-structured interviews to explore the ways in which excluded children story…
Descriptors: Expulsion, Research Methodology, Semi Structured Interviews, Data Analysis
Stephanie Wermelinger; Marco Bleiker; Moritz M. Daum – Infant and Child Development, 2025
Children's fuzziness leads to increased variance in the data, data loss, and high dropout rates in developmental studies. This study investigated the importance of 20 factors on the person (child, caregiver, experimenter) and situation (task, method, time, and date) level for the data quality as indicated via the number of valid trials in 11…
Descriptors: Infants, Young Children, Research Problems, Factor Analysis
Soledad Estrella; Sergio Morales; Maritza Méndez-Reina; Pedro Vidal-Szabó; Alejandra Mondaca-Saavedra – International Journal for Lesson and Learning Studies, 2024
Purpose: This paper aims to describe the statistical arguments produced by third-grade students (8-9 years old) and to identify the teaching support for collective argumentation in a lesson based on data comparison. A Lesson Study Group researched and planned the lesson around a problem from the official mathematics textbook.…
Descriptors: Persuasive Discourse, Open Education, Electronic Learning, Thinking Skills
Tenzin Doleck; Pedram Agand; Dylan Pirrotta – Education and Information Technologies, 2025
As is rapidly becoming clear, data science increasingly permeates many aspects of life. Educational research recognizes the importance and complexity of learning data science. In line with this imperative, there is a growing need to investigate the factors that influence student performance in data science tasks. In this paper, we aimed to apply…
Descriptors: Prediction, Data Science, Performance, Data Analysis
Han-Ling Jiang; Lin-Hua Lu; Tsunwai Wesley Yuen; Yu-Lun Liu; Conrad Coelho – Journal of Marketing Education, 2025
Data-driven marketing analytics courses are integral to modern business management degrees in universities, yet many graduates focus solely on single, separated data analysis techniques during their learning process, hindering effective integration and practical performance. This study proposes that employing the Fishbowl method, which divides…
Descriptors: Marketing, Business Education, Data Analysis, Active Learning
Elizabeth S. Peterson; Joseph A. Taylor – Educational Research and Reviews, 2025
The methodological controversy surrounding ordinal outcome data has posed a distinct challenge to the conceptualization, design, and conduct of research in the social and behavioral sciences for more than 75 years. Accordingly, this study sought to supply a comprehensive and multidisciplinary perspective of the debate and in so doing lay the…
Descriptors: Research Problems, Educational Research, Social Science Research, Research Methodology
Maxi Schulz; Malte Kramer; Oliver Kuss; Tim Mathes – Research Synthesis Methods, 2024
In sparse data meta-analyses (with few trials or zero events), conventional methods may distort results. Although better-performing one-stage methods have become available in recent years, their implementation remains limited in practice. This study examines the impact of using conventional methods compared to one-stage models by re-analysing…
Descriptors: Meta Analysis, Data Analysis, Research Methodology, Research Problems
Joy Gaulden Bertling; Amanda Galbraith; Tabitha Wandell Doss; Rita Swartzentruber – Studies in Art Education: A Journal of Issues and Research in Art Education, 2025
With notions of data visualization expanding to include contemporary art and design, data visualization represents an important new dimension for transdisciplinary art education. The pedagogical potential of these practices has begun to be recognized in many fields, including art education. However, despite substantial interest, little research…
Descriptors: Art Education, Visual Aids, Data Analysis, Creativity
David Bruns-Smith; Oliver Dukes; Avi Feller; Elizabeth L. Ogburn – Grantee Submission, 2024
We provide a novel characterization of augmented balancing weights, also known as automatic debiased machine learning (AutoDML). These popular "doubly robust" or "de-biased machine learning estimators" combine outcome modeling with balancing weights -- weights that achieve covariate balance directly in lieu of estimating and…
Descriptors: Regression (Statistics), Weighted Scores, Data Analysis, Robustness (Statistics)
Kaitlyn Coburn; Kris Troy; Carly A. Busch; Naomi Barber-Choi; Kevin M. Bonney; Brock Couch; Marcos E. García-Ojeda; Rachel Hutto; Lauryn Famble; Matt Flagg; Tracy Gladding; Anna Kowalkowski; Carlos Landaverde; Stanley M. Lo; Kimberly MacLeod; Blessed Mbogo; Taya Misheva; Andy Trinh; Rebecca Vides; Erik Wieboldt; Cara Gormally; Jeffrey Maloy – CBE - Life Sciences Education, 2025
Trans* and genderqueer student retention and liberation is integral for equity in undergraduate education. While STEM leadership calls for data-supported systemic change, the erasure and othering of trans* and genderqueer identities in STEM research perpetuates cisnormative narratives. We sought to characterize how sex and gender data are…
Descriptors: LGBTQ People, Transgender People, Disproportionate Representation, Educational Research
