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Bayesian Adaptive Lasso for the Detection of Differential Item Functioning in Graded Response Models
Na Shan; Ping-Feng Xu – Journal of Educational and Behavioral Statistics, 2025
The detection of differential item functioning (DIF) is important in psychological and behavioral sciences. Standard DIF detection methods perform an item-by-item test iteratively, often assuming that all items except the one under investigation are DIF-free. This article proposes a Bayesian adaptive Lasso method to detect DIF in graded response…
Descriptors: Bayesian Statistics, Item Response Theory, Adolescents, Longitudinal Studies
Huang, Hsinfu; Lee, Chang-Franw – Interactive Learning Environments, 2022
The aim of the present study was to explore the learning usability factors of 3D modeling in virtual reality environment (VRE). Users' 3D modeling usability factors in VR were investigated through principal component analysis (PCA). Fifty industrial design students participated in the 3D modeling learning in VR experience experiment, and their…
Descriptors: Usability, Computer Simulation, Educational Technology, Geometric Concepts
Engel, Susan; Mayersen, Deborah; Pedersen, David; Eidenfalk, Joakim – Journal of Political Science Education, 2021
Model United Nations (MUN) simulations are an increasingly popular approach to teaching international relations, in both secondary and tertiary education. There is some evidence, however, that these simulations disadvantage female participants. Studies by Rosenthal et al. and Coughlin found that female students participate less in simulations than…
Descriptors: Gender Differences, Simulation, Grades (Scholastic), Teaching Methods
Duxbury, Scott W. – Sociological Methods & Research, 2023
This study shows that residual variation can cause problems related to scaling in exponential random graph models (ERGM). Residual variation is likely to exist when there are unmeasured variables in a model--even those uncorrelated with other predictors--or when the logistic form of the model is inappropriate. As a consequence, coefficients cannot…
Descriptors: Graphs, Scaling, Research Problems, Models
Wang, Cheng; Butts, Carter T.; Hipp, John; Lakon, Cynthia M. – Sociological Methods & Research, 2022
The recent popularity of models that capture the dynamic coevolution of both network structure and behavior has driven the need for summary indices to assess the adequacy of these models to reproduce dynamic properties of scientific or practical importance. Whereas there are several existing indices for assessing the ability of the model to…
Descriptors: Models, Goodness of Fit, Comparative Analysis, Computer Software
Hammond, Augustine; Albert, Craig Douglas – Journal of Political Science Education, 2020
Academic institutions and programs are increasingly using experiential learning and simulations with the observation that these pedagogical devices not only facilitate knowledge but they also provide an opportunity for skills and attitudinal development. The article seeks to determine the effect of experiential learning through simulations on…
Descriptors: Experiential Learning, Active Learning, Simulation, Models
Luo, Wei; Smith, Thomas J.; Whalley, Kyle; Darling, Andrew; Ormand, Carol; Hung, Wei-Chen; Chiang, Jui-Ling; Pelletier, Jon; Duffin, Kirk – British Journal of Educational Technology, 2019
This paper presents results from a randomized experimental design replicated over four semesters that compared students' performance in understanding landform evolution processes as measured by the pretest to posttest score growth between two treatment methods: an online interactive simulation tool and a paper-based exercise. While both methods…
Descriptors: Earth Science, Models, Science Tests, Computer Simulation
Andrews, Jessica J.; Kerr, Deirdre; Mislevy, Robert J.; von Davier, Alina; Hao, Jiangang; Liu, Lei – Journal of Educational Measurement, 2017
Simulations and games offer interactive tasks that can elicit rich data, providing evidence of complex skills that are difficult to measure with more conventional items and tests. However, one notable challenge in using such technologies is making sense of the data generated in order to make claims about individuals or groups. This article…
Descriptors: Simulation, Interaction, Research Methodology, Cooperative Learning
Stamey, James D.; Beavers, Daniel P.; Sherr, Michael E. – Sociological Methods & Research, 2017
Survey data are often subject to various types of errors such as misclassification. In this article, we consider a model where interest is simultaneously in two correlated response variables and one is potentially subject to misclassification. A motivating example of a recent study of the impact of a sexual education course for adolescents is…
Descriptors: Bayesian Statistics, Classification, Models, Correlation
Šafhalter, Andrej; Vukman, Karin Bakracevic; Glodež, Srecko – Journal of Educational Computing Research, 2016
The aim of this research was to establish whether gender and age have an impact on spatial reasoning and its development through the use of 3D modeling. The study was conducted on a sample of 196 children from sixth to ninth grade, of whom 95 represented the experimental group and 101 the control group. The experimental group received 3D modeling…
Descriptors: Spatial Ability, Visual Perception, Models, Visualization
Mueller, Christoph Emanuel; Gaus, Hansjoerg; Rech, Joerg – American Journal of Evaluation, 2014
This article proposes an innovative approach to estimating the counterfactual without the necessity of generating information from either a control group or a before-measure. Building on the idea that program participants are capable of estimating the hypothetical state they would be in had they not participated, the basics of the Roy-Rubin model…
Descriptors: Research Design, Program Evaluation, Research Methodology, Models
Wang, Wen-Chung; Jin, Kuan-Yu – Applied Psychological Measurement, 2010
In this study, all the advantages of slope parameters, random weights, and latent regression are acknowledged when dealing with component and composite items by adding slope parameters and random weights into the standard item response model with internal restrictions on item difficulty and formulating this new model within a multilevel framework…
Descriptors: Test Items, Difficulty Level, Regression (Statistics), Generalization
Heafner, Tina L., Ed.; Hartshorne, Richard, Ed.; Petty, Teresa, Ed. – IGI Global, 2015
The integration of technology in classrooms is rapidly emerging as a way to provide more educational opportunities for students. As virtual learning environments become more popular, evaluating the impact of this technology on student success is vital. "Exploring the Effectiveness of Online Education in K-12 Environments" combines…
Descriptors: Program Effectiveness, Electronic Learning, Distance Education, Virtual Classrooms
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Park, John; Carter, Glenda; Butler, Susan; Slykhuis, David; Reid-Griffin, Angelia – Journal of Interactive Learning Research, 2008
This study examines the relationship of gender and spatial perception on student interactivity with contour maps and non-immersive virtual reality. Eighteen eighth-grade students elected to participate in a six-week activity-based course called "3-D GeoMapping." The course included nine days of activities related to topographic mapping.…
Descriptors: Computer Simulation, Computer Uses in Education, Maps, Earth Science
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