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Svetina, Dubravka; Levy, Roy – Journal of Experimental Education, 2016
This study investigated the effect of complex structure on dimensionality assessment in compensatory multidimensional item response models using DETECT- and NOHARM-based methods. The performance was evaluated via the accuracy of identifying the correct number of dimensions and the ability to accurately recover item groupings using a simple…
Descriptors: Item Response Theory, Accuracy, Correlation, Sample Size
Finch, Holmes; Edwards, Julianne M. – Educational and Psychological Measurement, 2016
Standard approaches for estimating item response theory (IRT) model parameters generally work under the assumption that the latent trait being measured by a set of items follows the normal distribution. Estimation of IRT parameters in the presence of nonnormal latent traits has been shown to generate biased person and item parameter estimates. A…
Descriptors: Item Response Theory, Computation, Nonparametric Statistics, Bayesian Statistics
Golino, Hudson F.; Gomes, Cristiano M. A. – International Journal of Research & Method in Education, 2016
This paper presents a non-parametric imputation technique, named random forest, from the machine learning field. The random forest procedure has two main tuning parameters: the number of trees grown in the prediction and the number of predictors used. Fifty experimental conditions were created in the imputation procedure, with different…
Descriptors: Item Response Theory, Regression (Statistics), Difficulty Level, Goodness of Fit
Mason, Raina; Seton, Carolyn; Cooper, Graham – Computer Science Education, 2016
Cognitive load theory (CLT) was used to redesign a Database Systems course for Information Technology students. The redesign was intended to address poor student performance and low satisfaction, and to provide a more relevant foundation in database design and use for subsequent studies and industry. The original course followed the conventional…
Descriptors: Cognitive Processes, Difficulty Level, Databases, Information Technology
Jönsson, Anders – International Journal of Science Education, 2016
The aim of this study is to investigate the influence of content knowledge on students' socio-scientific argumentation in the Swedish National Assessment in biology, chemistry and physics for 12-year-olds. In Sweden, the assessment of socio-scientific argumentation has been a major part of the National Assessment during three consecutive years and…
Descriptors: Difficulty Level, Persuasive Discourse, Correlation, Science Instruction
Uysal, Murat Pasa – Interactive Learning Environments, 2016
Various methods and tools have been proposed to overcome the learning obstacles for Object-Oriented Programming (OOP). However, it remains difficult especially for novice learners. The problem may be not only adopting an instructional method, but also an Integrated Development Environment (IDE). Learners employ IDEs as a means to solve programming…
Descriptors: Evaluation, Educational Environment, Cognitive Processes, Difficulty Level
Kos, Marjanca; Jerman, Janez; Anžlovar, Urška; Torkar, Gregor – International Journal of Environmental and Science Education, 2016
Early childhood is a period of life in which lifelong attitudes, values and patterns of behaviour regarding nature are shaped. Environmental education is becoming a growing area of interest in early childhood education. The aim of the research study was to identify children's understanding of why and how their pro-environmental behaviours…
Descriptors: Foreign Countries, Preschool Children, Childhood Attitudes, Knowledge Level
Stull, Andrew T.; Hegarty, Mary – Journal of Educational Psychology, 2016
This study investigated the development of representational competence among organic chemistry students by using 3D (concrete and virtual) models as aids for teaching students to translate between multiple 2D diagrams. In 2 experiments, students translated between different diagrams of molecules and received verbal feedback in 1 of the following 3…
Descriptors: Models, Organic Chemistry, Science Instruction, Skill Development
Peer reviewedIvens, Stephen H. – Educational and Psychological Measurement, 1971
Descriptors: Difficulty Level, Item Analysis, Nonparametric Statistics, Statistical Analysis

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