Publication Date
| In 2025 | 0 |
| Since 2024 | 4 |
| Since 2021 (last 5 years) | 30 |
| Since 2016 (last 10 years) | 88 |
| Since 2006 (last 20 years) | 242 |
Descriptor
| Data Analysis | 356 |
| Probability | 356 |
| Mathematics Instruction | 95 |
| Algebra | 66 |
| Geometry | 66 |
| Models | 64 |
| Statistics | 60 |
| Mathematical Concepts | 56 |
| Statistical Analysis | 50 |
| Problem Solving | 49 |
| Data Collection | 46 |
| More ▼ | |
Source
Author
| Fennell, Francis | 11 |
| Bamberger, Honi | 9 |
| Rowan, Thomas | 9 |
| Sammons, Kay | 9 |
| Suarez, Anna | 9 |
| Pagni, David, Ed. | 3 |
| Small, Marian | 3 |
| Watson, Jane M. | 3 |
| Brahier, Daniel J. | 2 |
| Cai, Zhiqiang | 2 |
| Christou, Nicolas | 2 |
| More ▼ | |
Publication Type
Education Level
Location
| Arizona | 10 |
| California | 7 |
| Australia | 6 |
| United States | 5 |
| Virginia | 5 |
| Arkansas | 4 |
| Canada | 4 |
| Germany | 4 |
| United Kingdom | 4 |
| Florida | 3 |
| New Zealand | 3 |
| More ▼ | |
Laws, Policies, & Programs
| No Child Left Behind Act 2001 | 9 |
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkIannario, Maria; Tarantola, Claudia – Sociological Methods & Research, 2023
This contribution deals with effect measures for covariates in ordinal data models to address the interpretation of the results on the extreme categories of the scales, evaluate possible response styles, and motivate collapsing of extreme categories. It provides a simpler interpretation of the influence of the covariates on the probability of the…
Descriptors: Data Analysis, Data Interpretation, Probability, Models
Yi, Zhihui; Schreiber, James B.; Paliliunas, Dana; Barron, Becky F.; Dixon, Mark R. – Journal of Behavioral Education, 2021
The recent commentary by Beaujean and Farmer (2020) on the original paper by Dixon et al. (2019) serves a cautionary tale of selective p-values, the law of small N sizes, and the type-II error. We believe these authors have crafted a somewhat questionable argument in which only 57% of the original Dixon et al. data were re-analyzed, based on a…
Descriptors: Research Problems, Data Analysis, Statistical Analysis, Probability
Jamelia Harris – Field Methods, 2024
Not knowing the population size is a common problem in data-limited contexts. Drawing on work in Sierra Leone, this short take outlines a four-step solution to this problem: (1) estimate the population size using expert interviews; (2) verify estimates using interviews with participants sampled; (3) triangulate using secondary data; and (4)…
Descriptors: Foreign Countries, Sample Size, Surveys, Computation
Johanna Schoenherr; Stanislaw Schukajlow – ZDM: Mathematics Education, 2024
External visualization (i.e., physically embodied visualization) is central to the teaching and learning of mathematics. As external visualization is an important part of mathematics at all levels of education, it is diverse, and research on external visualization has become a wide and complex field. The aim of this scoping review is to…
Descriptors: Visualization, Mathematics Education, Educational Research, Pictorial Stimuli
Zigerell, L. J. – Journal of Political Science Education, 2023
Data visualization is an important tool for communicating research results. This manuscript discusses a method that instructors can use to introduce political science students to visualizations and discusses strategies that instructors can share with students about how to create high-quality visualizations. These strategies can help students make…
Descriptors: Teaching Methods, Data Analysis, Visual Aids, Statistics Education
Tim Erickson – Australian Mathematics Education Journal, 2024
This is the third in a series of articles describing CODAP and where it might be used to address content in the "Australian Curriculum: Mathematics" v9.0 (ACARA, 2022). We've talked before about model-ling and about statistics; this time, we'll talk about exploring probability using CODAP. As before, we have also prepared online pages…
Descriptors: Statistics Education, Data Analysis, Mathematical Concepts, Mathematics Curriculum
Download full textCollier, Zachary K.; Zhang, Haobai; Liu, Liu – Practical Assessment, Research & Evaluation, 2022
Although educational research and evaluation generally occur in multilevel settings, many analyses ignore cluster effects. Neglecting the nature of data from educational settings, especially in non-randomized experiments, can result in biased estimates with long-term consequences. Our manuscript improves the availability and understanding of…
Descriptors: Artificial Intelligence, Probability, Scores, Educational Research
Musci, Rashelle J.; Kush, Joseph M.; Masyn, Katherine E.; Esmaeili, Masoumeh Amin; Susukida, Ryoko; Goulter, Natalie; McMahon, Robert; Eddy, J. Mark; Ialongo, Nicholas S.; Tolan, Patrick; Godwin, Jennifer; Bierman, Karen L.; Bierman, Karen L.; Coie, John D.; Crowley, D. Max; Dodge, Kenneth A.; Greenberg, Mark T.; Lochman, John E.; McMahon, Robert J.; Pinderhughes, Ellen E.; Wilcox, Holly C. – Prevention Science, 2023
Psychotic-like experiences (PLEs) are common throughout childhood, and the presence of these experiences is a significant risk factor for poor mental health later in development. Given the association of PLEs with a broad number of mental health diagnoses, these experiences serve as an important malleable target for early preventive interventions.…
Descriptors: Psychosis, Symptoms (Individual Disorders), Children, Adolescents
Cai, Zhiqiang; Siebert-Evenstone, Amanda; Eagan, Brendan; Shaffer, David Williamson – Grantee Submission, 2021
When text datasets are very large, manually coding line by line becomes impractical. As a result, researchers sometimes try to use machine learning algorithms to automatically code text data. One of the most popular algorithms is topic modeling. For a given text dataset, a topic model provides probability distributions of words for a set of…
Descriptors: Coding, Artificial Intelligence, Models, Probability
Antonia Petropoulou; Konstantinos Lavidas; Stamatis Papadakis – Educational Process: International Journal, 2024
Background/purpose: Awareness of the mathematical skills and knowledge children possess in their early years is widely accepted. This includes various common positive aspects, not only for educators but also for researchers and policymakers. This study presents a systematic review conducted to meticulously identify empirical studies published in…
Descriptors: Preschool Children, Mathematics Skills, Young Children, Mathematical Concepts
Lijin Zhang; Xueyang Li; Zhiyong Zhang – Grantee Submission, 2023
The thriving developer community has a significant impact on the widespread use of R software. To better understand this community, we conducted a study analyzing all R packages available on CRAN. We identified the most popular topics of R packages by text mining the package descriptions. Additionally, using network centrality measures, we…
Descriptors: Computer Software, Programming Languages, Data Analysis, Visual Aids
David Kaplan; Kjorte Harra – OECD Publishing, 2023
This report aims to showcase the value of implementing a Bayesian framework to analyse and report results from international large-scale surveys and provide guidance to users who want to analyse the data using this approach. The motivation for this report stems from the recognition that Bayesian statistical inference is fast becoming a popular…
Descriptors: Bayesian Statistics, Statistical Inference, Data Analysis, Educational Research
Soltys, Michael; Dang, Hung D.; Reyes Reilly, Ginger; Soltys, Katharine – Strategic Enrollment Management Quarterly, 2021
A Machine Learning framework for predicting enrollment is proposed. The framework consists of Amazon Web Services SageMaker together with standard Python tools for data analytics, including Pandas, NumPy, MatPlotLib, and ScikitLearn. The tools are deployed with Jupyter Notebooks running on AWS SageMaker. Based on three years of enrollment history,…
Descriptors: Enrollment Management, Strategic Planning, Prediction, Computer Software
Najib A. Mozahem – Sage Research Methods Cases, 2021
The internet has had a vast and pervasive effect on many industries. It has resulted in the creation of new industries and has overhauled the dynamics that governed existing industries. One of the most traditional industries that is now struggling to cope with the changes brought on by the internet is the industry of higher education. Students can…
Descriptors: Social Sciences, Electronic Learning, Learning Management Systems, Higher Education
Mathematical Tools for Real-World Applications: A Gentle Introduction for Students and Practitioners
Draganov, Alexandr – MIT Press, 2022
Techniques for applying mathematical concepts in the real world: six rarely taught but crucial tools for analysis, research, and problem-solving. Many young graduates leave school with a solid knowledge of mathematical concepts but struggle to apply these concepts in practice. Real scientific and engineering problems are different from those found…
Descriptors: Mathematical Concepts, Relevance (Education), College Mathematics, Engineering
