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Kilic, Abdullah Faruk; Dogan, Nuri – International Journal of Assessment Tools in Education, 2021
Weighted least squares (WLS), weighted least squares mean-and-variance-adjusted (WLSMV), unweighted least squares mean-and-variance-adjusted (ULSMV), maximum likelihood (ML), robust maximum likelihood (MLR) and Bayesian estimation methods were compared in mixed item response type data via Monte Carlo simulation. The percentage of polytomous items,…
Descriptors: Factor Analysis, Computation, Least Squares Statistics, Maximum Likelihood Statistics
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Mukhopadhyay, Aashijit; Sur, Sneharshi; Ghosal, Akash; Acharya, Anal – Journal of Educational Technology Systems, 2018
This article presents a new score generation algorithm to compute the accuracy of student concept maps in comparison to teacher maps. The algorithm follows a "compare and remove" method to remove the extra vertices and wrong edges of student concept map with respect to teacher map. A group of 230 students were taken to generate student…
Descriptors: Concept Mapping, Mathematics, Computation, Accuracy
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Ranger, Jochen; Kuhn, Jörg-Tobias – Journal of Educational and Behavioral Statistics, 2018
Diffusion-based item response theory models for responses and response times in tests have attracted increased attention recently in psychometrics. Analyzing response time data, however, is delicate as response times are often contaminated by unusual observations. This can have serious effects on the validity of statistical inference. In this…
Descriptors: Item Response Theory, Computation, Robustness (Statistics), Reaction Time
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Prather, Richard – Journal of Cognition and Development, 2018
Numerical comparison is a primary measure of the acuity of children's approximate number system. Approximate number system acuity is associated with key developmental outcomes such as symbolic number skill, standardized test scores, and even employment outcomes (Halberda, Mazzocco, & Feigenson, 2008; Parsons & Bynner, 1997). We examined…
Descriptors: Numbers, Computation, Comparative Analysis, Children
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Dong, Nianbo; Kelcey, Benjamin; Spybrook, Jessaca – Journal of Experimental Education, 2018
Researchers are often interested in whether the effects of an intervention differ conditional on individual- or group-moderator variables such as children's characteristics (e.g., gender), teacher's background (e.g., years of teaching), and school's characteristics (e.g., urbanity); that is, the researchers seek to examine for whom and under what…
Descriptors: Statistical Analysis, Randomized Controlled Trials, Intervention, Effect Size
Mai, Yujiao; Zhang, Zhiyong; Wen, Zhonglin – Grantee Submission, 2018
Exploratory structural equation modeling (ESEM) is an approach for analysis of latent variables using exploratory factor analysis to evaluate the measurement model. This study compared ESEM with two dominant approaches for multiple regression with latent variables, structural equation modeling (SEM) and manifest regression analysis (MRA). Main…
Descriptors: Structural Equation Models, Multiple Regression Analysis, Comparative Analysis, Statistical Bias
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Raykov, Tenko; Marcoulides, George A.; Akaeze, Hope O. – Educational and Psychological Measurement, 2017
This note is concerned with examining the relationship between within-group and between-group variances in two-level nested designs. A latent variable modeling approach is outlined that permits point and interval estimation of their ratio and allows their comparison in a multilevel study. The procedure can also be used to test various hypotheses…
Descriptors: Comparative Analysis, Models, Statistical Analysis, Hierarchical Linear Modeling
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Moeyaert, Mariola; Ugille, Maaike; Natasha Beretvas, S.; Ferron, John; Bunuan, Rommel; Van den Noortgate, Wim – International Journal of Social Research Methodology, 2017
This study investigates three methods to handle dependency among effect size estimates in meta-analysis arising from studies reporting multiple outcome measures taken on the same sample. The three-level approach is compared with the method of robust variance estimation, and with averaging effects within studies. A simulation study is performed,…
Descriptors: Meta Analysis, Effect Size, Robustness (Statistics), Hierarchical Linear Modeling
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Bawa, Surinderjit Kaur; Kaushal, Rekha; Dhillon, Jaswinder Kaur – Journal on Efficiency and Responsibility in Education and Science, 2020
Multimedia programs having a number of elements like Texts, spoken words, sound & music, graphics, animations and still pictures provide different stimuli in their presentations. Art is the field of education that provides a platform for rigorous investigation, representation, expression, and reflection of both scholastic content and the art…
Descriptors: Multimedia Instruction, Art Education, Mathematics Instruction, Interdisciplinary Approach
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Fu, Yuanshu; Wen, Zhonglin; Wang, Yang – Educational and Psychological Measurement, 2018
The maximal reliability of a congeneric measure is achieved by weighting item scores to form the optimal linear combination as the total score; it is never lower than the composite reliability of the measure when measurement errors are uncorrelated. The statistical method that renders maximal reliability would also lead to maximal criterion…
Descriptors: Test Reliability, Test Validity, Comparative Analysis, Attitude Measures
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Arce-Ferrer, Alvaro J.; Bulut, Okan – International Journal of Testing, 2017
This study examines separate and concurrent approaches to combine the detection of item parameter drift (IPD) and the estimation of scale transformation coefficients in the context of the common item nonequivalent groups design with the three-parameter item response theory equating. The study uses real and synthetic data sets to compare the two…
Descriptors: Item Response Theory, Equated Scores, Identification, Computation
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Sachse, Karoline A.; Haag, Nicole – Applied Measurement in Education, 2017
Standard errors computed according to the operational practices of international large-scale assessment studies such as the Programme for International Student Assessment's (PISA) or the Trends in International Mathematics and Science Study (TIMSS) may be biased when cross-national differential item functioning (DIF) and item parameter drift are…
Descriptors: Error of Measurement, Test Bias, International Assessment, Computation
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What Works Clearinghouse, 2017
The What Works Clearinghouse (WWC) uses the term "baseline equivalence" when determining if the intervention group (those that received the intervention of interest) and the comparison group (those that did not receive the intervention) had characteristics that were similar enough ("equivalent") at the start of the study (at…
Descriptors: Control Groups, Experimental Groups, Intervention, Comparative Analysis
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Kostinskiy, Sergey S.; Troitskiy, Anatoly I. – International Journal of Environmental and Science Education, 2016
This article deals with the problem of calculating the additional real-power losses in double-wound supply transformers with voltage class 6 (10)/0,4 kV, caused by unbalanced active inductive load connected in a star connection with an insulated neutral. When solving the problem, authors used the theory of electric circuits, method of balanced…
Descriptors: Equipment, Comparative Analysis, Energy, Power Technology
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Günbatar, Mustafa Serkan – Education and Information Technologies, 2019
The goal of this study is to compare in-service and pre-service teachers' computational thinking skills and to take in-service teachers' opinions about the contribution of professional life to differentiation in this skill. The study was conducted in Turkey. The type of the study is mixed method. Quantitative data were obtained from 870…
Descriptors: Preservice Teachers, Inservice Teacher Education, Teacher Attitudes, Student Attitudes
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