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McCullough, Aston K.; Keller, Bryan S.; Qiu, Shumin; Garber, Carol Ewing – Measurement in Physical Education and Exercise Science, 2018
The purpose of this study was to estimate distances from accelerometer-derived Bluetooth signals as a measure of interpersonal spatial proximity. Accelerometer-derived proximity data were collected indoors and outdoors over a 10m range to calibrate simulation models. Proximity data were simulated over 20m (indoor) and 50m (outdoor) ranges.…
Descriptors: Measurement Equipment, Proximity, Simulation, Prediction
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Ferrando, Pere J. – Psicologica: International Journal of Methodology and Experimental Psychology, 2015
Test-retest studies for assessing stability and change are widely used in different domains and allow improved or additional individual estimates of interest to be obtained. However, if these estimates are to be validly interpreted the responses given at Time-2 must be free of retest effects, and the fulfilment of this assumption must be…
Descriptors: Item Response Theory, Evaluation Methods, Responses, Testing
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Van Ginkel, Joost R. – Multivariate Behavioral Research, 2010
The performance of multiple imputation in questionnaire data has been studied in various simulation studies. However, in practice, questionnaire data are usually more complex than simulated data. For example, items may be counterindicative or may have unacceptably low factor loadings on every subscale, or completely missing subscales may…
Descriptors: Questionnaires, Data, Computation, Methods
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Scott, Fraser J. – Chemistry Education Research and Practice, 2014
This paper describes the utility of using simulated, rather than real, student solutions to problems within a peer-assessment setting and whether this approach can be used as a means of improving performance in chemical calculations. The study involved a small cohort of students, of two levels, who carried out a simulated peer-assessment as a…
Descriptors: Science Instruction, Chemistry, Simulation, Peer Evaluation
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Brennan, Ross; Vos, Lynn – Journal of Marketing Education, 2013
The need to endow marketing graduates with skills relevant to employability grows ever more important. Marketing math and elementary financial understanding are essential employability skills, particularly given the contemporary emphasis on marketing metrics, but the evidence is that marketing graduates are often relatively weak in such skills.…
Descriptors: Marketing, College Students, Simulation, Educational Games
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Psycharis, Sarantos – Journal of Education and Training Studies, 2013
Contemporary teaching and learning approaches expect students--at any level of education--to be active producers of knowledge. This leads to the need for creation of instructional strategies, learning environments and tasks that can offer students opportunities for active learning. Research argues that one of the most meaningful and engaging forms…
Descriptors: Computation, Active Learning, Experiments, Mathematical Models
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Cai, Li – Journal of Educational and Behavioral Statistics, 2010
Item factor analysis (IFA), already well established in educational measurement, is increasingly applied to psychological measurement in research settings. However, high-dimensional confirmatory IFA remains a numerical challenge. The current research extends the Metropolis-Hastings Robbins-Monro (MH-RM) algorithm, initially proposed for…
Descriptors: Simulation, Questionnaires, Measurement, Factor Analysis
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Woods, Carol M. – Applied Psychological Measurement, 2011
Differential item functioning (DIF) occurs when an item on a test, questionnaire, or interview has different measurement properties for one group of people versus another, irrespective of true group-mean differences on the constructs being measured. This article is focused on item response theory based likelihood ratio testing for DIF (IRT-LR or…
Descriptors: Simulation, Item Response Theory, Testing, Questionnaires
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Woods, Carol M. – Educational and Psychological Measurement, 2008
Item response theory-likelihood ratio-differential item functioning (IRT-LR-DIF) is used to evaluate the degree to which items on a test or questionnaire have different measurement properties for one group of people versus another, irrespective of group-mean differences on the construct. Usually, the latent distribution is presumed normal for both…
Descriptors: Simulation, Computation, Item Response Theory, Test Items