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Wang, Lijuan; Grimm, Kevin J. – Multivariate Behavioral Research, 2012
Reliabilities of the two most widely used intraindividual variability indicators, "ISD[superscript 2]" and "ISD", are derived analytically. Both are functions of the sizes of the first and second moments of true intraindividual variability, the size of the measurement error variance, and the number of assessments within a burst. For comparison,…
Descriptors: Reliability, Statistical Analysis, Measurement, Models
Keller, Bryan S. B.; Kim, Jee-Seon; Steiner, Peter M. – Society for Research on Educational Effectiveness, 2013
Propensity score analysis (PSA) is a methodological technique which may correct for selection bias in a quasi-experiment by modeling the selection process using observed covariates. Because logistic regression is well understood by researchers in a variety of fields and easy to implement in a number of popular software packages, it has…
Descriptors: Probability, Scores, Statistical Analysis, Statistical Bias
Gillespie, Steven – ProQuest LLC, 2013
The primary purpose of this quantitative study was to examine if simulation training correlated with the decision-making abilities of firefighters from two departments (one in a mountain state and one in a southwest state). The other purposes were to determine if firefighter demographics were correlated with the completion of the simulation…
Descriptors: Fire Protection, Fire Science Education, Training, Simulation
Cadenas, José O.; Sherratt, R. Simon; Howlett, Des; Guy, Chris G.; Lundqvist, Karsten O. – IEEE Transactions on Education, 2015
This paper describes a virtual system that emulates an ARM-based processor machine, created to replace a traditional hardware-based system for teaching assembly language. The virtual system proposed here integrates, in a single environment, all the development tools necessary to deliver introductory or advanced courses on modern assembly language…
Descriptors: Cost Effectiveness, Feedback (Response), Student Attitudes, Computer Simulation
Ahmad, Suleiman A.; Abdullahi, Isyaku M.; Usman, Mohammed – IAFOR Journal of Education, 2015
E-learning is a byproduct of instructional design. Thus online learning designers, in their approaches are expected to be familiar with the epistemological underpinnings of several theories and their consequences on the process of instruction. In the same vein constructivism holds assumptions, that learning is an active process whereby the learner…
Descriptors: Photography, Schools of Education, Foreign Countries, Teaching Methods
Salajan, Florin D.; Mount, Greg J.; Prakki, Anuradha – Electronic Journal of e-Learning, 2015
This article has a dual purpose: it describes the development of First Year Dental Anatomy (FYDA), a web-based 3D interactive application used in the dental curriculum at a major Canadian university, and it reports on the results of a research study conducted to assess the perception of learning benefits students experienced through the use of…
Descriptors: Foreign Countries, Dental Schools, Dentistry, Questionnaires
Hopkins, Robert, II; Alberts, Halley – American Biology Teacher, 2015
This activity is designed as a primer to teaching population dispersion analysis. The aim is to help improve students' spatial thinking and their understanding of how spatial statistic equations work. Students use simulated data to develop their own statistic and apply that equation to experimental behavioral data for Gambusia affinis (western…
Descriptors: Science Instruction, Spatial Ability, Thinking Skills, Equations (Mathematics)
Pant, Mohan Dev – ProQuest LLC, 2011
The Burr families (Type III and Type XII) of distributions are traditionally used in the context of statistical modeling and for simulating non-normal distributions with moment-based parameters (e.g., Skew and Kurtosis). In educational and psychological studies, the Burr families of distributions can be used to simulate extremely asymmetrical and…
Descriptors: Psychological Studies, Monte Carlo Methods, Correlation, Computation
Tueller, Stephen J.; Drotar, Scott; Lubke, Gitta H. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
The discrimination between alternative models and the detection of latent classes in the context of latent variable mixture modeling depends on sample size, class separation, and other aspects that are related to power. Prior to a mixture analysis it is useful to investigate model performance in a simulation study that reflects the research…
Descriptors: Simulation, Structural Equation Models, Statistical Analysis, Mathematics
Yuviler-Gavish, Nirit; Rodríguez, Jorge; Gutiérrez, Teresa; Sánchez, Emilio; Casado, Sara – Journal of Interactive Learning Research, 2014
The current study hypothesized that integrating partly observational learning into virtual reality training systems (VRTS) can enhance training efficiency for procedural tasks. A common approach in designing VRTS is the enactive approach, which stresses the importance of physical actions within the environment to enhance perception and improve…
Descriptors: Electronic Learning, Computer Simulation, Virtual Classrooms, Observational Learning
Sideridis, Georgios; Simos, Panagiotis; Papanicolaou, Andrew; Fletcher, Jack – Educational and Psychological Measurement, 2014
The present study assessed the impact of sample size on the power and fit of structural equation modeling applied to functional brain connectivity hypotheses. The data consisted of time-constrained minimum norm estimates of regional brain activity during performance of a reading task obtained with magnetoencephalography. Power analysis was first…
Descriptors: Structural Equation Models, Brain Hemisphere Functions, Simulation, Models
Malsberry, Suzanne – ProQuest LLC, 2014
A major economic driver, the aerospace industry contributes to exports and higher wage jobs, which the United States requires to maintain robust economic health. Despite the investment in vocational educational training programs, insufficient workers have been available to aerospace companies. The purpose of this study was to investigate the…
Descriptors: Manufacturing Industry, Job Skills, Job Training, Employment Qualifications
Ruipérez-Valiente, Jose A.; Muñoz-Merino, Pedro J.; Kloos, Carlos Delgado; Niemann, Katja; Scheffel, Maren; Wolpers, Martin – IEEE Transactions on Learning Technologies, 2016
Self-regulated learning (SRL) environments provide students with activities to improve their learning (e.g., by solving exercises), but they might also provide optional activities (e.g., changing an avatar image or setting goals) where students can decide whether they would like to use or do them and how. Few works have dealt with the use of…
Descriptors: Metacognition, Learning Processes, Case Studies, Learning Activities
Moncada Linares, Sthephanny; Díaz Romero, Andrea Carolina – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2016
As a result of the rapid development of Information and Communication Technology (ICT) and the growing interest in Internet-based tools for language classroom, it has become a pressing need for educators to locate, evaluate and select the most appropriate language-learning digital resources that foster more communicative and meaningful learning…
Descriptors: Check Lists, Communicative Competence (Languages), Web Sites, Computer Assisted Instruction
Pedersen, Mads Kock; Skyum, Birk; Heck, Robert; Müller, Romain; Bason, Mark; Lieberoth, Andreas; Sherson, Jacob F. – Physical Review Physics Education Research, 2016
A virtual learning environment can engage university students in the learning process in ways that the traditional lectures and lab formats cannot. We present our virtual learning environment "StudentResearcher," which incorporates simulations, multiple-choice quizzes, video lectures, and gamification into a learning path for quantum…
Descriptors: Simulated Environment, Educational Technology, Technology Uses in Education, Quantum Mechanics

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