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Showing 1 to 15 of 29 results Save | Export
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Hui Han; Silvana Trimi – Education and Information Technologies, 2024
Cloud computing-based online education has played a vital role in enabling uninterrupted learning during crises such as the COVID-19 pandemic. This study explored the key variables associated with cloud computing that can effectively support the operation of online education platforms. By analyzing real data from 63 online learning platforms, the…
Descriptors: Computer Software, Learning Management Systems, Online Courses, Correlation
Shakita Bagwell – ProQuest LLC, 2024
Teaching reading has been an ongoing challenge for many educators across the United States. Numerous studies suggest that teachers feel they were not adequately prepared to teach reading and have low efficacy in delivering literacy instruction. Teaching reading requires educators to be knowledgeable about the alphabetic principle, decoding new…
Descriptors: Reading Instruction, Teacher Attitudes, Self Efficacy, Faculty Development
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Duxbury, Scott W. – Sociological Methods & Research, 2023
This study shows that residual variation can cause problems related to scaling in exponential random graph models (ERGM). Residual variation is likely to exist when there are unmeasured variables in a model--even those uncorrelated with other predictors--or when the logistic form of the model is inappropriate. As a consequence, coefficients cannot…
Descriptors: Graphs, Scaling, Research Problems, Models
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Balkis, Murat – Asia Pacific Journal of Education, 2018
The purpose of the current study is to examine the mediation role of academic achievement and absenteeism in the relationship between multidimensional amotivation and intention to school dropout among Turkish high school students. The results have shown that multidimensional amotivation has direct and indirect effects on intention to school…
Descriptors: Intention, Learning Motivation, Dropout Characteristics, Academic Achievement
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Attali, Yigal; Saldivia, Luis; Jackson, Carol; Schuppan, Fred; Wanamaker, Wilbur – ETS Research Report Series, 2014
Previous investigations of the ability of content experts and test developers to estimate item difficulty have, for themost part, produced disappointing results. These investigations were based on a noncomparative method of independently rating the difficulty of items. In this article, we argue that, by eliciting comparative judgments of…
Descriptors: Test Items, Difficulty Level, Comparative Analysis, College Entrance Examinations
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Moses, Tim – Educational Measurement: Issues and Practice, 2014
This module describes and extends X-to-Y regression measures that have been proposed for use in the assessment of X-to-Y scaling and equating results. Measures are developed that are similar to those based on prediction error in regression analyses but that are directly suited to interests in scaling and equating evaluations. The regression and…
Descriptors: Scaling, Regression (Statistics), Equated Scores, Comparative Analysis
Geigle, Chase – ProQuest LLC, 2018
There are two primary challenges for instructors in offering a high-quality course at large scale. The first is scaling educational experiences to such a large audience. The second major challenge encountered is that of enabling adaptivity of the educational experience. This thesis addresses both major challenges in the way of high-quality…
Descriptors: Barriers, Educational Quality, Computer Assisted Testing, Educational Experience
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von Davier, Matthias; Xu, Xueli; Carstensen, Claus H. – Psychometrika, 2011
The aim of the research presented here is the use of extensions of longitudinal item response theory (IRT) models in the analysis and comparison of group-specific growth in large-scale assessments of educational outcomes. A general discrete latent variable model was used to specify and compare two types of multidimensional item-response-theory…
Descriptors: Educational Objectives, Outcomes of Education, Measures (Individuals), Item Response Theory
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Almehrizi, Rashid S. – Applied Psychological Measurement, 2013
The majority of large-scale assessments develop various score scales that are either linear or nonlinear transformations of raw scores for better interpretations and uses of assessment results. The current formula for coefficient alpha (a; the commonly used reliability coefficient) only provides internal consistency reliability estimates of raw…
Descriptors: Raw Scores, Scaling, Reliability, Computation
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von Davier, Alina A. – ETS Research Report Series, 2012
Maintaining comparability of test scores is a major challenge faced by testing programs that have almost continuous administrations. Among the potential problems are scale drift and rapid accumulation of errors. Many standard quality control techniques for testing programs, which can effectively detect and address scale drift for small numbers of…
Descriptors: Quality Control, Data Analysis, Trend Analysis, Scaling
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Yen, Wendy M.; Lall, Venessa F.; Monfils, Lora – ETS Research Report Series, 2012
Alternatives to vertical scales are compared for measuring longitudinal academic growth and for producing school-level growth measures. The alternatives examined were empirical cross-grade regression, ordinary least squares and logistic regression, and multilevel models. The student data used for the comparisons were Arabic Grades 4 to 10 in…
Descriptors: Foreign Countries, Scaling, Item Response Theory, Test Interpretation
Shaw, Emily J.; Mattern, Krista D. – College Board, 2009
This study examined the relationship between students' self-reported high school grade point average (HSGPA) from the SAT Questionnaire and their HSGPA provided by the colleges and universities they attend. The purpose of this research was to offer updated information on the relatedness of self-reported (by the student) and school-reported (by the…
Descriptors: High School Students, Grade Point Average, Accuracy, Aptitude Tests
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Spence, Ian; Domoney, Dennis W. – Psychometrika, 1974
Monte Carlo procedures were used to investigate the properties of a nonmetric multidimensional scaling algorithm when used to scale an incomplete matrix of dissimilarities. Recommendations for users wishing to scale incomplete matrices are made. (Author/RC)
Descriptors: Algorithms, Comparative Analysis, Correlation, Matrices
Subkoviak, Michael J. – 1973
When Torgerson's multidimensional scaling model is used in conjunction with the method of tetrads, derived coordinates are based on data which is assumed to be distributed normally. The object of this study was to determine the amount of error contained in derived coordinates when the normality assumption is violated. Torgerson coordinates were…
Descriptors: Comparative Analysis, Correlation, Error Patterns, Models
Huberty, Carl J; And Others – 1983
Three methods of transforming unordered categorical response variables are described. One is a method using dummy binary variables. The second method analyzes all categorical variables simultaneously and is based on an eigenanalysis of frequency patterns scaled relative to within-groups variance, jointly developed by J. E. Overall and J. A.…
Descriptors: Comparative Analysis, Computer Oriented Programs, Correlation, Discriminant Analysis
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