Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 14 |
Descriptor
Foreign Countries | 14 |
Statistical Inference | 14 |
Statistics | 7 |
Teaching Methods | 6 |
Data Analysis | 5 |
Probability | 5 |
Mathematics Instruction | 4 |
Statistical Analysis | 4 |
Computation | 3 |
Computer Software | 3 |
Mathematics | 3 |
More ▼ |
Source
Author
Day, Lorraine | 2 |
Makar, Katie | 2 |
Anderson, Peter J. | 1 |
Carlin, John B. | 1 |
Chance, Beth | 1 |
Chapman, Jeanette | 1 |
Daniel Kasper | 1 |
Doyle, Lex W. | 1 |
Drummond, Gordon B. | 1 |
Dunn, Peter K. | 1 |
Forbes, Sharleen | 1 |
More ▼ |
Publication Type
Journal Articles | 14 |
Reports - Descriptive | 14 |
Education Level
Higher Education | 4 |
Elementary Education | 3 |
Secondary Education | 3 |
Elementary Secondary Education | 2 |
Postsecondary Education | 2 |
Grade 11 | 1 |
Grade 12 | 1 |
Grade 4 | 1 |
High Schools | 1 |
Intermediate Grades | 1 |
Junior High Schools | 1 |
More ▼ |
Audience
Teachers | 2 |
Location
Australia | 8 |
Canada | 2 |
Asia | 1 |
Brazil | 1 |
Chile | 1 |
India | 1 |
Netherlands | 1 |
New Zealand | 1 |
Puerto Rico | 1 |
Sweden | 1 |
United Kingdom | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Progress in International… | 1 |
Trends in International… | 1 |
What Works Clearinghouse Rating
Daniel Kasper; Katrin Schulz-Heidorf; Knut Schwippert – Sociological Methods & Research, 2024
In this article, we extend Liao's test for across-group comparisons of the fixed effects from the generalized linear model to the fixed and random effects of the generalized linear mixed model (GLMM). Using as our basis the Wald statistic, we developed an asymptotic test statistic for across-group comparisons of these effects. The test can be…
Descriptors: Models, Achievement Tests, Foreign Countries, International Assessment
Sales, Adam C.; Hansen, Ben B. – Journal of Educational and Behavioral Statistics, 2020
Conventionally, regression discontinuity analysis contrasts a univariate regression's limits as its independent variable, "R," approaches a cut point, "c," from either side. Alternative methods target the average treatment effect in a small region around "c," at the cost of an assumption that treatment assignment,…
Descriptors: Regression (Statistics), Computation, Statistical Inference, Robustness (Statistics)
Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2020
Peter Dunn and Margaret Marshman present the second of their data files articles in which they discuss the statistical investigation cycle which describes the whole process of conducting a statistical research study. [For "The Data Files: A Series of Articles to Support Mathematics Teachers to Teach Statistics," see EJ1259108.]
Descriptors: Statistics, Data Analysis, Teaching Methods, Problem Solving
Susewind, Raphael – Field Methods, 2015
Fine-grained data on religious communities are often considered sensitive in South Asia and consequently remain inaccessible. Yet without such data, statistical research on communal relations and group-based inequality remains superficial, hampering the development of appropriate policy measures to prevent further social exclusion on the basis of…
Descriptors: Probability, Statistical Inference, Religious Cultural Groups, Mathematics
Lee, Katherine J.; Roberts, Gehan; Doyle, Lex W.; Anderson, Peter J.; Carlin, John B. – International Journal of Social Research Methodology, 2016
Multiple imputation (MI), a two-stage process whereby missing data are imputed multiple times and the resulting estimates of the parameter(s) of interest are combined across the completed datasets, is becoming increasingly popular for handling missing data. However, MI can result in biased inference if not carried out appropriately or if the…
Descriptors: Data Analysis, Statistical Inference, Computation, Research Problems
Day, Lorraine – Australian Primary Mathematics Classroom, 2014
Students recognise and analyse data and draw inferences. They represent, summarise and interpret data and undertake purposeful investigations involving the collection and interpretation of data… They develop an increasingly sophisticated ability to critically evaluate chance and data concepts and make reasoned judgments and decisions, as well as…
Descriptors: Foreign Countries, Statistics, Statistical Inference, Elementary Education
Forbes, Sharleen; Chapman, Jeanette; Harraway, John; Stirling, Doug; Wild, Chris – Statistics Education Research Journal, 2014
For many years, students have been taught to visualise data by drawing graphs. Recently, there has been a growing trend to teach statistics, particularly statistical concepts, using interactive and dynamic visualisation tools. Free down-loadable teaching and simulation software designed specifically for schools, and more general data visualisation…
Descriptors: Foreign Countries, Visualization, Graphs, Statistical Data
Zetterqvist, Lena – Teaching Mathematics and Its Applications, 2017
Researchers and teachers often recommend motivating exercises and use of mathematics or statistics software for the teaching of basic courses in probability and statistics. Our courses are given to large groups of engineering students at Lund Institute of Technology. We found that the mere existence of real-life data and technology in a course…
Descriptors: Technology Uses in Education, Alignment (Education), Probability, Statistics
Petocz, Peter; Sowey, Eric – Teaching Statistics: An International Journal for Teachers, 2012
The term "data snooping" refers to the practice of choosing which statistical analyses to apply to a set of data after having first looked at those data. Data snooping contradicts a fundamental precept of applied statistics, that the scheme of analysis is to be planned in advance. In this column, the authors shall elucidate the…
Descriptors: Hypothesis Testing, Statistical Analysis, Foreign Countries, Questioning Techniques
Makar, Katie – Australian Mathematics Teacher, 2013
Statistics is one of the most widely used topics for everyday life in the school mathematics curriculum. Unfortunately, the statistics taught in schools focuses on calculations and procedures before students have a chance to see it as a useful and powerful tool. Researchers have found that a dominant view of statistics is as an assortment of tools…
Descriptors: Statistical Inference, Statistics, Prediction, Computation
Day, Lorraine – Australian Mathematics Teacher, 2013
The area of statistics is one in which teachers may be encouraged to make important links to other curriculum areas and social issues. Statistical literacy is a key component of being numerate and living as an informed citizen. The teaching of statistics provides an opportunity to inform and educate students about social issues and moral…
Descriptors: Social Problems, Statistics, Foreign Countries, Mathematics
Watson, Jane; Chance, Beth – Australian Senior Mathematics Journal, 2012
Formal inference, which makes theoretical assumptions about distributions and applies hypothesis testing procedures with null and alternative hypotheses, is notoriously difficult for tertiary students to master. The debate about whether this content should appear in Years 11 and 12 of the "Australian Curriculum: Mathematics" has gone on…
Descriptors: Foreign Countries, Research Methodology, Sampling, Statistical Inference
Drummond, Gordon B.; Vowler, Sarah L. – Advances in Physiology Education, 2011
Experimental data are analysed statistically to allow researchers to draw conclusions from a limited set of measurements. The hard fact is that researchers can never be certain that measurements from a sample will exactly reflect the properties of the entire group of possible candidates available to be studied (although using a sample is often the…
Descriptors: Educational Research, Statistical Inference, Data Interpretation, Probability
Makar, Katie; Rubin, Andee – Statistics Education Research Journal, 2009
Informal inferential reasoning has shown some promise in developing students' deeper understanding of statistical processes. This paper presents a framework to think about three key principles of informal inference--generalizations "beyond the data," probabilistic language, and data as evidence. The authors use primary school classroom…
Descriptors: Statistical Inference, Elementary School Students, Elementary School Teachers, Elementary School Mathematics