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Kalkan, Ömür Kaya; Kelecioglu, Hülya – Educational Sciences: Theory and Practice, 2016
Linear factor analysis models used to examine constructs underlying the responses are not very suitable for dichotomous or polytomous response formats. The associated problems cannot be eliminated by polychoric or tetrachoric correlations in place of the Pearson correlation. Therefore, we considered parameters obtained from the NOHARM and FACTOR…
Descriptors: Sample Size, Nonparametric Statistics, Factor Analysis, Correlation
Buelin-Biesecker, Jennifer Katherine – ProQuest LLC, 2012
This study compared the creative outcomes in student work resulting from two pedagogical approaches to creative problem solving activities. A secondary goal was to validate the Consensual Assessment Technique (CAT) as a means of assessing creativity. Linear models for problem solving and design processes serve as the current paradigm in classroom…
Descriptors: Technology Education, Creativity, Problem Solving, Teaching Methods
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
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection