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Kiliç, Abdullah Faruk; Uysal, Ibrahim – Turkish Journal of Education, 2019
In this study, the purpose is to compare factor retention methods under simulation conditions. For this purpose, simulations conditions with a number of factors (1, 2 [simple]), sample sizes (250, 1.000, and 3.000), number of items (20, 30), average factor loading (0.50, 0.70), and correlation matrix (Pearson Product Moment [PPM] and Tetrachoric)…
Descriptors: Simulation, Factor Structure, Sample Size, Test Length
Kilic, Abdullah Faruk; Uysal, Ibrahim; Atar, Burcu – International Journal of Assessment Tools in Education, 2020
This Monte Carlo simulation study aimed to investigate confirmatory factor analysis (CFA) estimation methods under different conditions, such as sample size, distribution of indicators, test length, average factor loading, and factor structure. Binary data were generated to compare the performance of maximum likelihood (ML), mean and variance…
Descriptors: Factor Analysis, Computation, Methods, Sample Size
Wang, Chun – Journal of Educational and Behavioral Statistics, 2014
Many latent traits in social sciences display a hierarchical structure, such as intelligence, cognitive ability, or personality. Usually a second-order factor is linearly related to a group of first-order factors (also called domain abilities in cognitive ability measures), and the first-order factors directly govern the actual item responses.…
Descriptors: Measurement, Accuracy, Item Response Theory, Adaptive Testing
Dikici, Ayhan; Soh, Kaycheng – Online Submission, 2015
Many measurement tools on creativity are available in the literature. One of these scales is Creativity Fostering Teacher Behaviour Index (CFTIndex) developed for Singaporean teacher originally. It was then translated into Turkish and trialled on teachers in Nigde province with acceptable reliability and factorial validity. The main purpose of…
Descriptors: Creativity, Teacher Behavior, Comparative Analysis, Turkish

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