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Eser, Mehmet Taha – International Online Journal of Education and Teaching, 2021
This study aims to compare the results of the factor analysis performed with Frequentist and Bayesian approaches. The number of sub-dimensions of the measurement tool obtained from different methods, the variation of the items in the sub-dimensions, and the fit statistics' differentiation were examined. 778 students constitute the study sample.…
Descriptors: Factor Analysis, Bayesian Statistics, Measurement Techniques, Goodness of Fit
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De Bondt, Niki; De Maeyer, Sven; Donche, Vincent; Van Petegem, Peter – High Ability Studies, 2021
The aim of this study is to provide -- first theoretically and, subsequently, through an empirical analysis -- a rationale for including the concept of overexcitability in talent research, beyond the five-factor model personality traits. Moreover, the empirical part of this study makes use of an innovative statistical method to address the problem…
Descriptors: Personality Traits, Talent, Research, Gifted
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Hoofs, Huub; van de Schoot, Rens; Jansen, Nicole W. H.; Kant, IJmert – Educational and Psychological Measurement, 2018
Bayesian confirmatory factor analysis (CFA) offers an alternative to frequentist CFA based on, for example, maximum likelihood estimation for the assessment of reliability and validity of educational and psychological measures. For increasing sample sizes, however, the applicability of current fit statistics evaluating model fit within Bayesian…
Descriptors: Goodness of Fit, Bayesian Statistics, Factor Analysis, Sample Size
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Najafabadi, Maryam Omidi; Zamani, Maryam; Mirdamadi, Mehdi – Journal of Education for Business, 2016
The authors used Ajzen's theory of planned behavior and Shapero's entrepreneurial event model as well as entrepreneurial cognition theory to identify the relationship among entrepreneurial skills, self-efficacy, attitudes toward entrepreneurship, psychological traits, social norms, perceived desirability, social support, and entrepreneurial…
Descriptors: Models, Entrepreneurship, Agricultural Education, Intention