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Gil, Einat; Gibbs, Alison L. – Statistics Education Research Journal, 2017
In this study, we follow students' modeling and covariational reasoning in the context of learning about big data. A three-week unit was designed to allow 12th grade students in a mathematics course to explore big and mid-size data using concepts such as trend and scatter to describe the relationships between variables in multivariate settings.…
Descriptors: Foreign Countries, Secondary School Students, Grade 12, Statistics
Deng, Nina; Han, Kyung T.; Hambleton, Ronald K. – Applied Psychological Measurement, 2013
DIMPACK Version 1.0 for assessing test dimensionality based on a nonparametric conditional covariance approach is reviewed. This software was originally distributed by Assessment Systems Corporation and now can be freely accessed online. The software consists of Windows-based interfaces of three components: DIMTEST, DETECT, and CCPROX/HAC, which…
Descriptors: Item Response Theory, Nonparametric Statistics, Statistical Analysis, Computer Software
Liou, Wei-Kai; Bhagat, Kaushal Kumar; Chang, Chun-Yen – Journal of Science Education and Technology, 2016
The present study compares the highly interactive cloud-classroom (HIC) system with traditional methods of teaching materials science that utilize crystal structure picture or real crystal structure model, in order to examine its learning effectiveness across three dimensions: knowledge, comprehension and application. The aim of this study was to…
Descriptors: Technology Uses in Education, Educational Technology, Science Instruction, Teaching Methods
Gibson, David; Jakl, Peter – International Association for Development of the Information Society, 2013
Among the unique affordances of digital simulations are changes in the possibilities for targets as well as the methods of assessment, most significantly, toward integration of thinking with action, embedding of tasks-as-performance of knowledge-in-action, and unobtrusive observational methods. This paper raises and briefly defines key data…
Descriptors: Computer Simulation, Databases, Computer Games, Learning Processes
Peer reviewedLiang, Kun-Hsia; And Others – Multivariate Behavioral Research, 1995
A computer-assisted, K-fold cross-validation technique is discussed in the framework of canonical correlation analysis of randomly generated data sets. Analysis results suggest that this technique can effectively reduce the contamination of canonical variates and canonical correlations by sample-specific variance components. (Author/SLD)
Descriptors: Computer Simulation, Computer Software, Correlation, Multivariate Analysis
Willett, John B.; Singer, Judith D. – 1988
Guidelines for articulation of a framework for practical application of proportional-hazards models (PHMs) to professional survival analysis are provided. Focus is on data analysis fitting the PHMs with the semi-parametric methods of partial likelihood; this strategy is available in the BMDP2L and SAS PROC PHGLM computer programs. Areas in which…
Descriptors: Computer Simulation, Computer Software, Data Analysis, Databases
Huberty, Carl J.; And Others – 1990
What a multivariate contrast analysis should entail and how such an analysis should be conducted are discussed. The three questions encompassing a contrast analysis are: (1) whether the contrast effects are generalizable; (2) which variables contribute most to the contrast effects; and (3) what is the construct underlying the contrast effects.…
Descriptors: Analysis of Variance, Comparative Analysis, Computer Software, Computer Uses in Education
PDF pending restorationChambers, Jay G.; Parrish, Thomas B. – 1984
The Resource Cost Model (RCM) is a resource management system that combines the technical advantages of sophisticated computer simulation software with the practical benefits of group decision making to provide detailed information about educational program costs. The first section of this document introduces the conceptual framework underlying…
Descriptors: Budgeting, Computer Simulation, Computer Software, Cost Estimates
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries

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