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Hyo Jeong Shin; Christoph König; Frederic Robin; Andreas Frey; Kentaro Yamamoto – Journal of Educational Measurement, 2025
Many international large-scale assessments (ILSAs) have switched to multistage adaptive testing (MST) designs to improve measurement efficiency in measuring the skills of the heterogeneous populations around the world. In this context, previous literature has reported the acceptable level of model parameter recovery under the MST designs when the…
Descriptors: Robustness (Statistics), Item Response Theory, Adaptive Testing, Test Construction
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Beauducel, André; Kersting, Martin – Educational and Psychological Measurement, 2020
We investigated by means of a simulation study how well methods for factor rotation can identify a two-facet simple structure. Samples were generated from orthogonal and oblique two-facet population factor models with 4 (2 factors per facet) to 12 factors (6 factors per facet). Samples drawn from orthogonal populations were submitted to factor…
Descriptors: Factor Structure, Factor Analysis, Sample Size, Intelligence
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Toprak, Emre; Gelbal, Selahattin – International Journal of Assessment Tools in Education, 2020
This study aims to compare the performances of the artificial neural network, decision trees and discriminant analysis methods to classify student achievement. The study uses multilayer perceptron model to form the artificial neural network model, chi-square automatic interaction detection (CHAID) algorithm to apply the decision trees method and…
Descriptors: Comparative Analysis, Classification, Artificial Intelligence, Networks
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Huang, Hung-Yu – Educational and Psychological Measurement, 2017
Mixture item response theory (IRT) models have been suggested as an efficient method of detecting the different response patterns derived from latent classes when developing a test. In testing situations, multiple latent traits measured by a battery of tests can exhibit a higher-order structure, and mixtures of latent classes may occur on…
Descriptors: Item Response Theory, Models, Bayesian Statistics, Computation
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Segretin, M. Soledad; Hermida, M. Julia; Prats, Lucía M.; Fracchia, Carolina S.; Ruetti, Eliana; Lipina, Sebastián J. – New Directions for Child and Adolescent Development, 2016
For at least eight decades, researchers have analyzed the association between childhood poverty and cognitive development in different societies worldwide, but few of such studies have been carried out in Latin America. The aim of the present paper is to systematically review the empirical studies that have analyzed the associations between…
Descriptors: Foreign Countries, Children, Poverty, Cognitive Development
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Cheng, Ying; Shao, Can; Lathrop, Quinn N. – Educational and Psychological Measurement, 2016
Due to its flexibility, the multiple-indicator, multiple-causes (MIMIC) model has become an increasingly popular method for the detection of differential item functioning (DIF). In this article, we propose the mediated MIMIC model method to uncover the underlying mechanism of DIF. This method extends the usual MIMIC model by including one variable…
Descriptors: Test Bias, Models, Simulation, Sample Size
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Sönmez, Hülya – Journal of Language and Linguistic Studies, 2019
The purpose of this study is to determine the purpose, scope, research model, data collection tool, data analysis method and sample size of the studies on bilingualism. According to the general screening model, the documents collected were analyzed. In the first step, in order to determine the focus and scope, the objectives of the sample studies…
Descriptors: Bilingualism, Research Methodology, Sample Size, Models
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Austin, Bruce; French, Brian; Adesope, Olusola; Gotch, Chad – Journal of Experimental Education, 2017
Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…
Descriptors: Predictor Variables, Models, Predictive Measurement, Statistical Analysis
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Retnaningsih, Woro; Djatmiko; Sumarlam – English Language Teaching, 2017
The research objective is to develop a model of Assessment for Learning (AFL) in Pragmatic course in IAIN Surakarta. The research problems are as follows: How did the lecturer develop a model of AFL? What was the form of assessment information used as the model of AFL? How was the results of the implementation of the model of assessment. The…
Descriptors: Pragmatics, Educational Quality, College Faculty, English (Second Language)
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Atalay Kabasakal, Kübra; Arsan, Nihan; Gök, Bilge; Kelecioglu, Hülya – Educational Sciences: Theory and Practice, 2014
This simulation study compared the performances (Type I error and power) of Mantel-Haenszel (MH), SIBTEST, and item response theory-likelihood ratio (IRT-LR) methods under certain conditions. Manipulated factors were sample size, ability differences between groups, test length, the percentage of differential item functioning (DIF), and underlying…
Descriptors: Comparative Analysis, Item Response Theory, Statistical Analysis, Test Bias
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Kodwani, Amitabh Deo – Journal of Workplace Learning, 2017
Purpose: Organisations invest heavily in training and development initiatives (Miller, 2012). However, a small percentage of what is learnt by the trainees from training gets transferred to the job (Mackay, 2007). The purpose of this study is to extend previous findings and examine various organisational factors, which have not been studied…
Descriptors: Foreign Countries, Training, Instructional Effectiveness, Organizational Climate
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Elaldi, Senel – Journal of Education and Training Studies, 2016
This study aimed to determine the effect of mastery learning model supported with reflective thinking activities on the fifth grade medical students' academic achievement. Mixed methods approach was applied in two samples (n = 64 and n = 6). Quantitative part of the study was based on a pre-test-post-test control group design with an experiment…
Descriptors: Foreign Countries, Mastery Learning, Models, Reflection
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Acar, Tulin – Educational Sciences: Theory and Practice, 2011
The purpose of this study is to examine the number of DIF items detected by HGLM at different sample sizes. Eight different sized data files have been composed. The population of the study is 798307 students who had taken the 2006 OKS Examination. 10727 students of 798307 are chosen by random sampling method as the sample of the study. Turkish,…
Descriptors: Test Bias, Sample Size, Regression (Statistics), Models
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Cheung, Raysen; Arnold, John – Journal of Vocational Behavior, 2010
In this study we investigate the antecedents of career exploration. We apply the perspectives of Flum and Blustein [Flum, H., & Blustein, D. L. (2000). Reinvigorating the study of vocational exploration: A framework for research. "Journal of Vocational Behavior, 56", 380-404] for the first time in Hong Kong, and we also test…
Descriptors: Motivation, Foreign Countries, Statistical Analysis, Career Exploration
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Zhang, Mo; Breyer, F. Jay; Lorenz, Florian – ETS Research Report Series, 2013
In this research, we investigated the suitability of implementing "e-rater"® automated essay scoring in a high-stakes large-scale English language testing program. We examined the effectiveness of generic scoring and 2 variants of prompt-based scoring approaches. Effectiveness was evaluated on a number of dimensions, including agreement…
Descriptors: Computer Assisted Testing, Computer Software, Scoring, Language Tests
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