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Bonett, Douglas G. – Journal of Educational and Behavioral Statistics, 2022
The limitations of Cohen's ? are reviewed and an alternative G-index is recommended for assessing nominal-scale agreement. Maximum likelihood estimates, standard errors, and confidence intervals for a two-rater G-index are derived for one-group and two-group designs. A new G-index of agreement for multirater designs is proposed. Statistical…
Descriptors: Statistical Inference, Statistical Data, Interrater Reliability, Design
Marianne van Dijke-Droogers; Paul Drijvers; Arthur Bakker – Mathematics Education Research Journal, 2025
In our data-driven society, it is essential for students to become statistically literate. A core domain within Statistical Literacy is Statistical Inference, the ability to draw inferences from sample data. Acquiring and applying inferences is difficult for students and, therefore, usually not included in the pre-10th-grade curriculum. However,…
Descriptors: Statistical Inference, Learning Trajectories, Grade 9, High School Students
Kaimi, Irene – Teaching Statistics: An International Journal for Teachers, 2015
This articles argues in favour of a recently introduced approach to statistical inference which focuses on understanding the data generating process. A comprehensive example supports the discussion.
Descriptors: Statistical Inference, Statistical Data, Data Collection, Probability
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
Stapleton, Laura M.; McNeish, Daniel M.; Yang, Ji Seung – Educational Psychologist, 2016
Multilevel models are often used to evaluate hypotheses about relations among constructs when data are nested within clusters (Raudenbush & Bryk, 2002), although alternative approaches are available when analyzing nested data (Binder & Roberts, 2003; Sterba, 2009). The overarching goal of this article is to suggest when it is appropriate…
Descriptors: Hierarchical Linear Modeling, Data Analysis, Statistical Data, Multivariate Analysis
Reichardt, Charles S. – Multivariate Behavioral Research, 2011
Maxwell, Cole, and Mitchell (2011) demonstrated that simple structural equation models, when used with cross-sectional data, generally produce biased estimates of meditated effects. I extend those results by showing how simple structural equation models can produce biased estimates of meditated effects when used even with longitudinal data. Even…
Descriptors: Structural Equation Models, Statistical Data, Longitudinal Studies, Error of Measurement
Hsieh, Chueh-An; Maier, Kimberly S. – International Journal of Research & Method in Education, 2009
The capacity of Bayesian methods in estimating complex statistical models is undeniable. Bayesian data analysis is seen as having a range of advantages, such as an intuitive probabilistic interpretation of the parameters of interest, the efficient incorporation of prior information to empirical data analysis, model averaging and model selection.…
Descriptors: Equal Education, Bayesian Statistics, Data Analysis, Comparative Analysis
Li, Qing; Zhao, Jianmin; Zhu, Xinzhong – International Journal of Distance Education Technologies, 2009
Supporting efficient data access in the mobile learning environment is becoming a hot research problem in recent years, and the problem becomes tougher when the clients are using light-weight mobile devices such as cell phones whose limited storage space prevents the clients from holding a large cache. A practical solution is to store the cache…
Descriptors: Electronic Learning, Research Problems, Statistical Data, Statistical Inference