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Download full textÇevik, Mustafa; Tabaru-Örnek, Gizem – International Online Journal of Education and Teaching, 2020
In this study, it was aimed to compare the predictions of the academic achievement of the artificial neural networks (ANN) run in MATLAB and SPSS software and to determine the factors related to their academic achievement. Sample consisted of 465 students who were studying at Grade 4 in primary schools in the Central Anatolian Region of Turkey in…
Descriptors: Comparative Analysis, Academic Achievement, Computer Software, Prediction
A Second-Order Conditionally Linear Mixed Effects Model with Observed and Latent Variable Covariates
Direct linkHarring, Jeffrey R.; Kohli, Nidhi; Silverman, Rebecca D.; Speece, Deborah L. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
A conditionally linear mixed effects model is an appropriate framework for investigating nonlinear change in a continuous latent variable that is repeatedly measured over time. The efficacy of the model is that it allows parameters that enter the specified nonlinear time-response function to be stochastic, whereas those parameters that enter in a…
Descriptors: Models, Statistical Analysis, Structural Equation Models, Factor Analysis
Puranik, Cynthia S.; Lombardino, Linda J.; Altmann, Lori J. P. – American Journal of Speech-Language Pathology, 2008
Purpose: The primary goal of this study was to document the progression of the microstructural elements of written language in children at 4 grade levels. The secondary purpose was to ascertain whether the variables selected for examination could be classified into valid categories that reflect the multidimensional nature of writing. Method:…
Descriptors: Written Language, Elementary School Students, Writing Skills, Factor Analysis
