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Adrian Quintero; Emmanuel Lesaffre; Geert Verbeke – Journal of Educational and Behavioral Statistics, 2024
Bayesian methods to infer model dimensionality in factor analysis generally assume a lower triangular structure for the factor loadings matrix. Consequently, the ordering of the outcomes influences the results. Therefore, we propose a method to infer model dimensionality without imposing any prior restriction on the loadings matrix. Our approach…
Descriptors: Bayesian Statistics, Factor Analysis, Factor Structure, Sampling
Fujimoto, Ken A.; Neugebauer, Sabina R. – Educational and Psychological Measurement, 2020
Although item response theory (IRT) models such as the bifactor, two-tier, and between-item-dimensionality IRT models have been devised to confirm complex dimensional structures in educational and psychological data, they can be challenging to use in practice. The reason is that these models are multidimensional IRT (MIRT) models and thus are…
Descriptors: Bayesian Statistics, Item Response Theory, Sample Size, Factor Structure

Shi, Jian-Qing; Lee, Sik-Yum – Psychometrika, 1997
Explores posterior analysis in estimating factor score in a confirmatory factor analysis model with polytomous, censored or truncated data, and studies the accuracy of Bayesian estimates through simulation. Results support these Bayesian estimates for statistical inference. (SLD)
Descriptors: Bayesian Statistics, Estimation (Mathematics), Factor Structure, Scores
Styron, Ronald A., Jr.; Maulding, Wanda S.; Hull, Portia – College Student Journal, 2006
This manuscript addresses the question of who makes the better university professor.--Is it the person with experience in the field as a K-12 administrator or the one directly out of college with only in-depth knowledge of educational administration theory? The study was performed at a southern university using graduate educational leadership and…
Descriptors: Instructional Leadership, Elementary Secondary Education, Educational Administration, Student Attitudes