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Showing 1 to 15 of 19 results Save | Export
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Rücker, Gerta; Schwarzer, Guido – Research Synthesis Methods, 2021
In the era of the "reproducibility crisis" and the "P-value controversy" new ways of presentation and interpretation of the results of a meta-analysis are desirable. One suggestion that has been made for single studies almost six decades ago and taken up now and then is the P-value function. For a given outcome, this function…
Descriptors: Meta Analysis, Statistical Analysis, Computation, Replication (Evaluation)
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Goutte, Cyril; Durand, Guillaume – International Educational Data Mining Society, 2020
Learning curves are an important tool in cognitive diagnostics modeling to help assess how well students acquire new skills, and to refine and improve knowledge component models. Learning curves are typically obtained from a model estimated on real data obtained from a finite, and usually limited, sample of students. As a consequence, there is…
Descriptors: Learning, Models, Computation, Statistical Analysis
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Swann, G. M. Peter – Journal of Economic Education, 2019
Many empirical economists say that the teaching of econometrics is unbalanced, and students are not well-prepared for the serious problems they will encounter with real data. Here, the author considers the problem of noisy data, which is present in most econometric studies, but receives far too little attention. Most econometric studies are done…
Descriptors: Economics Education, Economics, Data, Problems
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Parker, Richard I.; Vannest, Kimberly J.; Davis, John L. – Journal of Special Education, 2014
Nonoverlap is widely used as a statistical summary of data; however, these analyses rarely correct unwanted positive baseline trend. This article presents and validates the graph rotation for overlap and trend (GROT) technique, a hand calculation method for controlling positive baseline trend within an analysis of data nonoverlap. GROT is…
Descriptors: Data, Statistical Analysis, Computation, Validity
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Hill, Rebecca A.; Nicholson, Christopher P. – Journal of Chemical Education, 2017
Throughout the general chemistry lab curriculum, a common shortcoming is the way in which students measure, record, and manipulate quantitative data. From initial measurements with different digital and analog instruments to proper conversions, calculations, and comparisons, students are often expected to be experts before they have been taught…
Descriptors: Water, Measurement, Statistical Analysis, Computation
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Theobald, Roddy; Richardson, Thomas – Society for Research on Educational Effectiveness, 2014
A central goal of the education literature is to demonstrate that specific educational interventions--instructional interventions at the student or classroom level, structural interventions at the school level, or funding interventions at the school district level, for example--have a "treatment effect" on student achievement. This paper…
Descriptors: Intervention, Educational Research, Pretests Posttests, Outcome Measures
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Bradley, Sean – Journal of Statistics Education, 2015
Can individuals guess the gender of a writer based on a sample of his or her handwriting? We administer an electronic survey twice to the same individuals to find out. The resulting data set is interesting to students, rich enough to be amenable to a wide array of activities, and open to a variety of exploratory tacks for statistics students and…
Descriptors: Handwriting, Gender Differences, Student Research, Research Skills
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Hornack, David – Education Leadership Review of Doctoral Research, 2016
School administrators across the nation are actively searching for solutions to increase student achievement due in part to the significant amount of knowledge that is lost annually each summer. Mathematical computation skills are especially at-risk. This quantitative research study was designed to investigate the impact of summer recess also…
Descriptors: Computation, Mathematics Skills, Retention (Psychology), Vacations
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Schild, Anne H. E.; Voracek, Martin – Research Synthesis Methods, 2015
Research has shown that forest plots are a gold standard in the visualization of meta-analytic results. However, research on the general interpretation of forest plots and the role of researchers' meta-analysis experience and field of study is still unavailable. Additionally, the traditional display of effect sizes, confidence intervals, and…
Descriptors: Graphs, Visualization, Meta Analysis, Data Interpretation
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Pallant, Amy; Lee, Hee-Sun – Journal of Science Education and Technology, 2015
Modeling and argumentation are two important scientific practices students need to develop throughout school years. In this paper, we investigated how middle and high school students (N = 512) construct a scientific argument based on evidence from computational models with which they simulated climate change. We designed scientific argumentation…
Descriptors: Persuasive Discourse, Evidence, Climate, Middle School Students
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Agrawal, Rakesh; Golshan, Behzad; Papalexakis, Evangelos – Journal of Educational Data Mining, 2016
A study plan is the choice of concepts and the organization and sequencing of the concepts to be covered in an educational course. While a good study plan is essential for the success of any course offering, the design of study plans currently remains largely a manual task. We present a novel data-driven method, which given a list of concepts can…
Descriptors: Lesson Plans, Educational Planning, Curriculum Design, Evidence Based Practice
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Carruthers, Sarah; Masson, Michael E. J.; Stege, Ulrike – Journal of Problem Solving, 2012
Recent studies on a computationally hard visual optimization problem, the Traveling Salesperson Problem (TSP), indicate that humans are capable of finding close to optimal solutions in near-linear time. The current study is a preliminary step in investigating human performance on another hard problem, the Minimum Vertex Cover Problem, in which…
Descriptors: Performance, Problem Solving, Graphs, Mathematics
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Chen, Fang; Chalhoub-Deville, Micheline – Language Testing, 2014
Newer statistical procedures are typically introduced to help address the limitations of those already in practice or to deal with emerging research needs. Quantile regression (QR) is introduced in this paper as a relatively new methodology, which is intended to overcome some of the limitations of least squares mean regression (LMR). QR is more…
Descriptors: Regression (Statistics), Language Tests, Language Proficiency, Mathematics Achievement
Rijmen, Frank – Educational Testing Service, 2010
As is the case for any statistical model, a multidimensional latent growth model comes with certain requirements with respect to the data collection design. In order to measure growth, repeated measurements of the same set of individuals are required. Furthermore, the data collection design should be specified such that no individual is given the…
Descriptors: Tests, Statistical Analysis, Models, Measurement
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Kowles, Richard V. – Bioscene: Journal of College Biology Teaching, 2010
Cell water relationships are important topics to be included in cell biology courses. Differences exist in the control of water relationships in plant cells relative to control in animal cells. One important reason for these differences is that turgor pressure is a consideration in plant cells. Diffusion and osmosis are the underlying factors…
Descriptors: Thermodynamics, Science Activities, Science Laboratories, Cytology
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