Skrondal and Rabe-Hesketh (2004) proposed a generalized latent variable modeling framework integrating 1) factor analytic and random coe cient models, 2) models with discrete and continuous unobserved variables, and 3) hierarchical models with unobserved variables at di erent levels. This framework is implemented in their GLLAMM software package. In this paper I describe a strongly related fram...

The purpose of this study is to determine whether learners are willing to transfer learning in this mobile learning environment via SMS. The reason for this is to measure the effectiveness of the new method used in learning and education especially in distance education field. For this reason, students’ responses are gathered which looked at three factors namely learner characteristic, learning...

conclusions: absence of the c allele was significantly associated with failure of response. the presence of c allele was associated with a favorable outcome. afp is a strong baseline predictor of hcv treatment response. a decision tree model is useful for predicting the probability of response to therapy. patients and methods: the study included 263 chronic hcv egyptian patients receiving peg-i...

The issue of latent trait granularity in diagnostic models is considered, comparing and contrasting latent trait and latent class models used for diagnosis. Relationships between conjunctive cognitive diagnosis models (CDMs) with binary attributes and noncompensatory multidimensional item response models are explored, leading to a continuous generalization of the Noisy Input, Deterministic ‘‘An...

We study a general single-species chemostat model with non-autonomous input and washout, discrete-time delay between consumption of the nutrient growth. The goal this article is to provide sufficient necessary conditions for persistence. persistence criteria obtained here extend previous works done autonomous without delay. Furthermore, in particular case periodic same washout delayed response ...

In the paper the data from the 9 countries participating in the IEA 10-Year Trend Study of reading literacy was reanalyzed using multivariate methods. In the first step a three-factor latent-variable model was fitted to the scores from the 15 textblocks included in the reading test. One factor was a reading comprehension factor, another was interpreted as a speed factor, and the third factor re...

Item response theory models are often applied when a number items are used to measure a unidimensional latent variable. Originally proposed within educational research, they are now also being used when focus is on e.g. physical functioning or psychological well-being. Modern applications often need more general models, typically models for multidimensional latent variables or longitudinal mode...

This study compares the psychometric utility of Classical Test Theory (CTT) and Item Response Theory (IRT) for scale construction with data from higher education student surveys. Using 2008 Your First College Year (YFCY) survey data from the Cooperative Institutional Research Program at the Higher Education Research Institute at UCLA, two scales are built and tested—one measuring social involve...