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Li, Ying; Rupp, Andre A. – Educational and Psychological Measurement, 2011
This study investigated the Type I error rate and power of the multivariate extension of the S - [chi][squared] statistic using unidimensional and multidimensional item response theory (UIRT and MIRT, respectively) models as well as full-information bifactor (FI-bifactor) models through simulation. Manipulated factors included test length, sample…
Descriptors: Test Length, Item Response Theory, Statistical Analysis, Error Patterns
Schuster, Christof; Yuan, Ke-Hai – Journal of Educational and Behavioral Statistics, 2011
Because of response disturbances such as guessing, cheating, or carelessness, item response models often can only approximate the "true" individual response probabilities. As a consequence, maximum-likelihood estimates of ability will be biased. Typically, the nature and extent to which response disturbances are present is unknown, and, therefore,…
Descriptors: Computation, Item Response Theory, Probability, Maximum Likelihood Statistics
Huet, Michael; Jacobs, David M.; Camachon, Cyril; Missenard, Olivier; Gray, Rob; Montagne, Gilles – Journal of Experimental Psychology: Human Perception and Performance, 2011
The present study reports two experiments in which a total of 20 participants without prior flight experience practiced the final approach phase in a fixed-base simulator. All participants received self-controlled concurrent feedback during 180 practice trials. Experiment 1 shows that participants learn more quickly under variable practice…
Descriptors: Feedback (Response), Simulation, Learning Disabilities, Science Education
van de Schoot, Rens; Strohmeier, Dagmar – International Journal of Behavioral Development, 2011
In the present paper, the application of a parametric bootstrap procedure, as described by van de Schoot, Hoijtink, and Dekovic (2010), will be applied to demonstrate that a direct test of an informative hypothesis offers more informative results compared to testing traditional null hypotheses against catch-all rivals. Also, more power can be…
Descriptors: Investigations, Simulation, Testing, Hypothesis Testing
Jenkins, Shannon – PS: Political Science and Politics, 2010
Both service learning and simulations have been shown to positively impact student outcomes, but they are not often used together. This article examines how to effectively combine these active learning styles to reap the benefits of both. After examining a case in which the two were combined and the impact this approach had on student evaluations…
Descriptors: Service Learning, Simulation, Active Learning, Student Evaluation
Gardner, Mark R.; Potts, Rosalind – Brain and Cognition, 2010
In motor tasks, subgroups of lefthanders have been shown to differ in the distribution of attention about their own bodies. The present experiment examined whether similar attentional biases also apply when processing observed bodies. Sixteen right handers (RHs), 22 consistent left handers (CLHs) and 11 relatively ambidextrous inconsistent left…
Descriptors: Handedness, Attention, Bias, Human Body
Mair, Patrick; Wu, Eric; Bentler, Peter M. – Structural Equation Modeling: A Multidisciplinary Journal, 2010
The REQS package is an interface between the R environment of statistical computing and the EQS software for structural equation modeling. The package consists of 3 main functions that read EQS script files and import the results into R, call EQS script files from R, and run EQS script files from R and import the results after EQS computations.…
Descriptors: Structural Equation Models, Computer Software, Statistical Analysis, Simulation
Tueller, Stephen; Lubke, Gitta – Structural Equation Modeling: A Multidisciplinary Journal, 2010
Structural equation mixture models (SEMMs) are latent class models that permit the estimation of a structural equation model within each class. Fitting SEMMs is illustrated using data from 1 wave of the Notre Dame Longitudinal Study of Aging. Based on the model used in the illustration, SEMM parameter estimation and correct class assignment are…
Descriptors: Structural Equation Models, Computation, Classification, Longitudinal Studies
Thompson, Barry L.; Green, Samuel B.; Yang, Yanyun – Educational and Psychological Measurement, 2010
The maximal split-half coefficient is computed by calculating all possible split-half reliability estimates for a scale and then choosing the maximal value as the reliability estimate. Osburn compared the maximal split-half coefficient with 10 other internal consistency estimates of reliability and concluded that it yielded the most consistently…
Descriptors: Reliability, Computation, Simulation, Statistical Analysis
Sterba, Sonya K.; MacCallum, Robert C. – Multivariate Behavioral Research, 2010
Different random or purposive allocations of items to parcels within a single sample are thought not to alter structural parameter estimates as long as items are unidimensional and congeneric. If, additionally, numbers of items per parcel and parcels per factor are held fixed across allocations, different allocations of items to parcels within a…
Descriptors: Sampling, Computation, Statistical Analysis, Computer Software
Magis, David; Raiche, Gilles – Applied Psychological Measurement, 2010
In this article the authors focus on the issue of the nonuniqueness of the maximum likelihood (ML) estimator of proficiency level in item response theory (with special attention to logistic models). The usual maximum a posteriori (MAP) method offers a good alternative within that framework; however, this article highlights some drawbacks of its…
Descriptors: Maximum Likelihood Statistics, Computation, Bayesian Statistics, Item Response Theory
Zumrawi, Abdel Azim; Bates, Simon P.; Schroeder, Marianne – Educational Research and Evaluation, 2014
This paper addresses the determination of statistically desirable response rates in students' surveys, with emphasis on assessing the effect of underlying variability in the student evaluation of teaching (SET). We discuss factors affecting the determination of adequate response rates and highlight challenges caused by non-response and lack of…
Descriptors: Inferences, Test Reliability, Response Rates (Questionnaires), Student Evaluation of Teacher Performance
Marshall, Neil; Buteau, Chantal – International Journal for Technology in Mathematics Education, 2014
As part of their undergraduate mathematics curriculum, students at Brock University learn to create and use computer-based tools with dynamic, visual interfaces, called Exploratory Objects, developed for the purpose of conducting pure or applied mathematical investigations. A student's Development Process Model of creating and using an Exploratory…
Descriptors: Mathematics Education, Mathematics Curriculum, Undergraduate Students, Investigations
Rauh, Jonathan – Journal of Political Science Education, 2014
Active learning, including in-class debates, is used in social science classrooms as a means of improving meaning and increasing understanding of complex materials. However, in-class debates do not fully satisfy all aspects of experiential learning because students do not get to experience the results of multifaceted concepts, such as strategic…
Descriptors: Discussion (Teaching Technique), Class Activities, Educational Experiments, Active Learning
Lee, Keunho – UNESCO International Bureau of Education, 2014
The implementation of the national curriculum in the Republic of Korea is ensured through curriculum revisions and the instructions issued by the Ministry of Education. The latter are acts of the Minister of Education that must be enforced in individual schools as stipulated in the regulations of Article 23 of the Elementary and Secondary…
Descriptors: Competency Based Education, Professional Autonomy, Decision Making, Creativity

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