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Conway, James M.; Lievens, Filip; Scullen, Steven E.; Lance, Charles E. – Structural Equation Modeling, 2004
This simulation investigates bias in trait factor loadings and intercorrelations when analyzing multitrait-multimethod (MTMM) data using the correlated uniqueness (CU) confirmatory factor analysis (CFA) model. A theoretical weakness of the CU model is the assumption of uncorrelated methods. However, previous simulation studies have shown little…
Descriptors: Multitrait Multimethod Techniques, Factor Analysis, Factor Structure, Simulation
Teulier, Caroline; Nourrit, Deborah; Delignieres, Didier – Research Quarterly for Exercise and Sport, 2006
Recent experiments on the ski simulator produced ambiguous results and raised unanswered questions concerning the true nature of "novice" behavior and the occurrence of behavioral changes during learning. The aim of the present experiment was to analyze the evolving behavior of three beginners during six practice sessions on a ski simulator. The…
Descriptors: Simulation, Recreational Activities, Behavior Change, Psychomotor Skills
Ting, Choo-Yee; Phon-Amnuaisuk, Somnuk; Chong, Yen-Kuan – Educational Technology & Society, 2008
This article aims at discussing how Dynamic Decision Network (DDN) can be employed to tackle the challenges in modeling temporally variable scientific inquiry skills and provision of adaptive pedagogical interventions in INQPRO, a scientific inquiry exploratory learning environment for learning O'level Physics. We begin with an overview of INQPRO…
Descriptors: Discovery Learning, Educational Environment, Science Instruction, Inquiry
Lopez-Varela, Asuncion, Ed. – InTech, 2012
This is a unique and groundbreaking collection of questions and answers coming from higher education institutions on diverse fields and across a wide spectrum of countries and cultures. It creates routes for further innovation, collaboration amidst the Sciences (both Natural and Social), the Humanities, and the private and public sectors of…
Descriptors: Social Sciences, Knowledge Management, Research Methodology, Higher Education
Cheng, An – Simulation & Gaming, 2007
Researchers have highlighted various benefits of the simulation-based approach to second language (L2) writing instruction. In this article, the author argues, with specific pedagogical scenarios, that an explicit focus on genre and genre analysis in simulation-based L2 writing instruction can further enhance learners' reading of content…
Descriptors: Writing Evaluation, Simulation, Second Language Instruction, Teaching Methods
Trickett, Susan Bell; Trafton, J. Gregory – Cognitive Science, 2007
The term "conceptual simulation" refers to a type of everyday reasoning strategy commonly called "what if" reasoning. It has been suggested in a number of contexts that this type of reasoning plays an important role in scientific discovery; however, little "direct" evidence exists to support this claim. This article proposes that conceptual…
Descriptors: Logical Thinking, Scientists, Inferences, Models
Rayburn, Nadine Recker; Jaycox, Lisa H.; McCaffrey, Daniel F.; Ulloa, Emilio C.; Zander-Cotugno, Megan; Marshall, Grant N.; Shelley, Gene A. – Journal of Adolescence, 2007
Dating violence is a serious problem among adolescents and young adults. Understanding teens' reactions to dating violence offers the potential to understand the factors that lead to perpetration of violent behavior and to elucidate prevention strategies. Knowledge concerning youth attitudes about dating violence is limited, and has largely come…
Descriptors: Violence, Models, Prevention, Familiarity
Yang, Xiangdong – Educational and Psychological Measurement, 2007
This article investigates several methods of identifying individual guessers from their response data. Both the posterior probability method and the likelihood ratio method are based on the two-state mixture modeling approach to response times. The accuracy method is based on response accuracy data. Results from the simulation study showed that…
Descriptors: Probability, Simulation, Test Items, Models
West, Charles K.; And Others – 1991
The purpose of this report is to communicate findings on current knowledge of simulation design, development, and evaluation. Research on this project was guided by questions posed by the Defense Systems Management College in Fort Belvoir, Virginia. These questions fall into three categories: the constituents of good instructional simulations, the…
Descriptors: Computer Simulation, Cost Effectiveness, Educational Games, Educational Objectives
Lewis, Charles; Willingham, Warren W. – 1995
As strongly suggested by recent work, patterns of gender difference can change because of changes in the selectivity of the sample itself. This is a statistical influence connected with the distributions of female and male scores, rather than a substantive influence related to demographic characteristics of the sample such as age or ethnicity. It…
Descriptors: Age Differences, Educational Assessment, Models, Sampling
Parshall, Cynthia G.; Kromrey, Jeffrey D.; Chason, Walter M. – 1996
The benefits of item response theory (IRT) will only accrue to a testing program to the extent that model assumptions are met. Obtaining accurate item parameter estimates is a critical first step. However, the sample sizes required for stable parameter estimation are often difficult to obtain in practice, particularly for the more complex models.…
Descriptors: Comparative Analysis, Estimation (Mathematics), Item Response Theory, Models
Peer reviewedKallaus, Norman F. – Business Education Forum, 1975
Descriptors: Business Education, Information Processing, Information Systems, Models
Read, Donald A. – School Health Review, 1974
Descriptors: Models, Role Playing, Sex Education, Simulation
Peer reviewedRoberts, Nancy – Simulation and Games, 1974
A new computer simulation of student performance in the elementary classroom allows the model builder to incorporate into a mathematically precise computer model all the information on variables affecting pupil performance which research has uncovered. (HMD)
Descriptors: Academic Achievement, Computer Programs, Models, Simulation
Charlton, Frank – 1975
The type of model this paper is concerned with consists of four parts: a set of variables describing the part of the educational system to be analyzed; a set of relationships among variables, expressed as equations; estimates of the parameters governing the relationships; and solution procedures for the model. In the first section of this paper,…
Descriptors: Costs, Demography, Educational Planning, Models

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