Interval estimation of intraclass correlation coefficients in hierarchical designs is discussed within a latent variable modeling framework. A method accomplishing this aim is outlined, which is applicable in two-level studies where participants (or generally lower-order units) are clustered within higher-order units. The procedure can also be…

The fields of pattern recognition and machine learning are on a fundamental quest to design systems that can learn the way humans do. One important aspect of human intelligence that has so far not been given sufficient attention is the capability of humans to express when they are certain about a decision, or when they are not. Machine learning…

Numerous investigations show that most school science teaching, in Spain and elsewhere, implicitly transmits an inductivist and very stereotyped view of science and conveys an unrealistic image of scientific work. We present some results of an investigation with fourth-level Spanish secondary education students (15 year olds) who were taught…