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Showing 1 to 15 of 43 results Save | Export
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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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Braham, Hana Manor; Ben-Zvi, Dani – Statistics Education Research Journal, 2017
A fundamental aspect of statistical inference is representation of real-world data using statistical models. This article analyzes students' articulations of statistical models and modeling during their first steps in making informal statistical inferences. An integrated modeling approach (IMA) was designed and implemented to help students…
Descriptors: Foreign Countries, Elementary School Students, Statistical Inference, Mathematical Models
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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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Törmänen, Juha; Hämäläinen, Raimo P.; Saarinen, Esa – Learning Organization, 2016
Purpose: Systems intelligence (SI) (Saarinen and Hämäläinen, 2004) is a construct defined as a person's ability to act intelligently within complex systems involving interaction and feedback. SI relates to our ability to act in systems and reason about systems to adaptively carry out productive actions within and with respect to systems such as…
Descriptors: Emotional Intelligence, Factor Analysis, Questionnaires, Sample Size
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Farooq, Muhammad Shoaib; Salam, Maimoona; Jaafar, Norizan; Fayolle, Alain; Ayupp, Kartinah; Radovic-Markovic, Mirjana; Sajid, Ali – Interactive Technology and Smart Education, 2017
Purpose: Adoption of latest technological advancements (e.g. lecture capture system) is a hallmark of market-driven private universities. Among many other distinguishing features, lecture capture system (LCS) is the one which is being offered to enhance the flexibility of learning environment for attracting executive business students. Majority of…
Descriptors: Lecture Method, Business Administration Education, Technological Advancement, Educational Cooperation
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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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Rahardjo, Djoko; Sumardjo; Lubis, Djuara P.; Harijati, Sri Ir. – Turkish Online Journal of Distance Education, 2016
Internet is well known nowadays, however higher distance education students who live in remote rural areas still have not been able to take advantages of this medium optimally for their learning process. For accessing the internet the students have to be available with the minimum prerequisites: the existence of adequate devices and the sufficient…
Descriptors: Open Universities, Distance Education, Foreign Countries, Internet
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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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Skaggs, Gary; Wilkins, Jesse L. M.; Hein, Serge F. – International Journal of Testing, 2016
The purpose of this study was to explore the degree of grain size of the attributes and the sample sizes that can support accurate parameter recovery with the General Diagnostic Model (GDM) for a large-scale international assessment. In this resampling study, bootstrap samples were obtained from the 2003 Grade 8 TIMSS in Mathematics at varying…
Descriptors: Achievement Tests, Foreign Countries, Elementary Secondary Education, Science Achievement
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