Teachers' self-efficacy is an important motivational construct that is positively related to a variety of outcomes for both the teachers and their students. This study addresses challenges associated with the commonly used 'Teachers' Sense of Self-Efficacy (TSES)' measure across countries and provides a synergism between substantive research on teachers' self-efficacy and the novel methodologic...

The independence of multiple intelligences (MI) of Gardner's theory has been debated since its conception. This article examines whether the one- factor structure of the MI theory tested in previous studies is invariant for low and high ability students. Two hundred ninety-four children (aged 5 to 7) participated in this study. A set of Gardner's Multiple Intelligence assessment tasks based on ...

Five experiments on the effects of changes of depth orientation on (a) priming the naming of briefly flashed familiar objects, (b) matching individual sample volumes (geons), and (c) classifying unfamiliar objects (that could readily be decomposed into an arrangement of distinctive geons) all revealed immediate (i.e., not requiring practice) depth invariance. The results can be understood in te...

BACKGROUND The Center for Epidemiologic Studies Depression (CES-D) scale is one of the most widely used tools to measure depressive symptoms in epidemiological studies. Given the importance of cross-racial measurement equivalence of the CES-D scale for research, we performed confirmatory factor analysis (CFA) of the 12-item CES-D in a nationally representative sample of Black and White adults i...

Identifying features invariant to certain transformations is a fundamental problem in the fields of signal processing and pattern recognition. This paper explores a family of measures called f -divergences that are invariant to invertible transformations, and studies their application to speech recognition. We provide novel proofs for the sufficiency and necessity of the invariance of f -diverg...

Abstract. We study the relationship between geometry and capacity measures for deep neural networks from an invariance viewpoint. We introduce a new notion of capacity — the Fisher-Rao norm — that possesses desirable invariance properties and is motivated by Information Geometry. We discover an analytical characterization of the new capacity measure, through which we establish norm-comparison i...

We show that in a two-dimensional σ-model whose fields only depend on one target space coordinate , the O(d, d) invariance of the conformal invariance conditions observed at one loop is preserved at two loops (in the general case with torsion) and at three loops (in the case without torsion). Duality invariance has proved to be an immensely fruitful concept in string theory. A particular aspect...

This squib aims to further our understanding of the relation between invariants of grammar and grammatical categories. Keenan and Stabler (2003) propose to formalize of the notion of ‘structural/ grammatical’ in terms of automorphism invariance, based on a very general notion of formal grammars (Bare Grammars). It is natural to think that category labels (more precisely: sets of language expres...