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John, Benneaser; Jayakumar, J.; Thavavel, V.; Arumugam, Muthukumar; Poornaselvan, K. J. – International Journal of Distance Education Technologies, 2017
Teaching and learning are increasingly taking advantage of the rapid growth in Internet resources, open content, mobile technologies and social media platforms. However, due to the generally unstructured nature and overwhelming quantity of learning content, effective learning remains challenging. In an effort to close this gap, the authors…
Descriptors: Courseware, Online Courses, Open Source Technology, Learning Activities
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Huang, Jiajing; Liang, Xinya; Yang, Yanyun – AERA Online Paper Repository, 2017
In Bayesian structural equation modeling (BSEM), prior settings may affect model fit, parameter estimation, and model comparison. This simulation study was to investigate how the priors impact evaluation of relative fit across competing models. The design factors for data generation included sample sizes, factor structures, data distributions, and…
Descriptors: Bayesian Statistics, Structural Equation Models, Goodness of Fit, Sample Size
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Enders, Craig K. – Grantee Submission, 2017
The last 20 years has seen an uptick in research on missing data problems, and most software applications now implement one or more sophisticated missing data handling routines (e.g., multiple imputation or maximum likelihood estimation). Despite their superior statistical properties (e.g., less stringent assumptions, greater accuracy and power),…
Descriptors: Data Analysis, Computer Software, Computation, Statistical Analysis
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Sanders, Elizabeth A.; Dietrich, Elizabeth A. – AERA Online Paper Repository, 2017
The purpose of this paper is to provide guidance in choice of analytic bias reduction methods for educational studies in which the goal is to estimate a treatment effect in the presence of selection bias into treatment. In addition, issues of dimensionality, collinearity, omitted confounders, missing outcomes, and non-independence may be factors…
Descriptors: Statistical Bias, Quasiexperimental Design, Computation, Educational Research
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Chan, Wendy – AERA Online Paper Repository, 2017
Policymakers are increasingly interested in the extent to which experimental results generalize from a sample to a population of inference. When the sample is not randomly selected, propensity score methods are used to reweight the sample. Subclassification by propensity score is commonly used in which the population is partitioned into strata…
Descriptors: Generalization, Classification, Randomized Controlled Trials, Inferences
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Huo, Shuting; Zhang, Xiao; Law, Yin Kum – Journal of Educational Psychology, 2021
Drawing on Geary's (1995) evolution-based model of cognitive and academic development, this study investigated the relation between biologically primary skills (vocabulary, executive functions, and visual-spatial processing) and subsequent word reading and calculation. It also examined the extent to which these relations were mediated by…
Descriptors: Foreign Countries, Kindergarten, Socioeconomic Status, Vocabulary Development
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Parsazadeh, Nadia; Cheng, Pei-Yu; Wu, Ting-Ting; Huang, Yueh-Min – Journal of Educational Computing Research, 2021
This paper examines a method which can be used by instructors pursuing innovative methods for language teaching, which expands learners' motivation in second language learning. Computational thinking (CT) is a problem-solving skill which can motivate students' English language learning. Designing a learning activity which integrates CT into…
Descriptors: Computation, Problem Solving, Story Telling, Educational Technology
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Luo, Liying; Hodges, James S. – Sociological Methods & Research, 2016
Age-period-cohort (APC) models are designed to estimate the independent effects of age, time periods, and cohort membership. However, APC models suffer from an identification problem: There are no unique estimates of the independent effects that fit the data best because of the exact linear dependency among age, period, and cohort. Among methods…
Descriptors: Models, Age, Time, Group Membership
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Ncwadi, Ronney – Journal of Education and e-Learning Research, 2016
Gross Domestic Product of any country often influence economic decisions by policy makers, market participants and econometricians on policy recommendations, evaluation and forecasting. However these decisions are often based on preliminary data announcements by statistical agencies. It is therefore important to ensure that the preliminary GDP…
Descriptors: Foreign Countries, Economic Factors, Computation, Data
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Menold, Natalja; Raykov, Tenko – Educational and Psychological Measurement, 2016
This article examines the possible dependency of composite reliability on presentation format of the elements of a multi-item measuring instrument. Using empirical data and a recent method for interval estimation of group differences in reliability, we demonstrate that the reliability of an instrument need not be the same when polarity of the…
Descriptors: Test Reliability, Test Format, Test Items, Differences
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Wyse, Adam E.; Babcock, Ben – Educational and Psychological Measurement, 2016
Continuously administered examination programs, particularly credentialing programs that require graduation from educational programs, often experience seasonality where distributions of examine ability may differ over time. Such seasonality may affect the quality of important statistical processes, such as item response theory (IRT) item…
Descriptors: Test Items, Item Response Theory, Computation, Licensing Examinations (Professions)
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Behr, Andreas; Theune, Katja – Education Economics, 2016
In this paper we analyze the effect of outside university work on time to first degree at German universities. The database is the "Absolventenpanel" 2001, a panel study conducted by the "Hochschul-Informations-System". Aiming to estimate the causal effect correctly, we apply a matching strategy based on the approach put…
Descriptors: Foreign Countries, Student Employment, Time to Degree, College Students
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Ranger, Jochen; Kuhn, Jörg-Tobias – Educational and Psychological Measurement, 2016
In this article, a new model for test response times is proposed that combines latent class analysis and the proportional hazards model with random effects in a similar vein as the mixture factor model. The model assumes the existence of different latent classes. In each latent class, the response times are distributed according to a…
Descriptors: Reaction Time, Models, Multivariate Analysis, Goodness of Fit
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Andrich, David – Educational Measurement: Issues and Practice, 2016
Since Cronbach's (1951) elaboration of a from its introduction by Guttman (1945), this coefficient has become ubiquitous in characterizing assessment instruments in education, psychology, and other social sciences. Also ubiquitous are caveats on the calculation and interpretation of this coefficient. This article summarizes a recent contribution…
Descriptors: Computation, Correlation, Test Theory, Measures (Individuals)
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Fryd, Amanda S.; Van Stan, Jarrad H.; Hillman, Robert E.; Mehta, Daryush D. – Journal of Speech, Language, and Hearing Research, 2016
Purpose: The purpose of this study was to evaluate the potential for estimating subglottal air pressure using a neck-surface accelerometer and to compare the accuracy of predicting subglottal air pressure relative to predicting acoustic sound pressure level (SPL). Method: Indirect estimates of subglottal pressure (P[subscript sg]') were obtained…
Descriptors: Computation, Measurement Equipment, Human Body, Accuracy
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