In 4 experiments, symbolic comparisons were investigated to test semantic-memory retrieval accounts espousing processing advantages for picture over word stimuli. In Experiment 1, participants judged pairs of animal names or pictures by responding to questions probing concrete or abstract attributes (texture or size, ferocity or intelligence). Per pair, attributes were salient or nonsalient con...

This article outlines a model of the structure and the dynamics of gender cognition in childhood. The model incorporates 3 hypotheses featured in different contemporary theories of childhood gender cognition and unites them under a single theoretical framework. Adapted from Greenwald et al. (2002), the model distinguishes three constructs: gender identity, gender stereotypes, and attribute self...

One of the important key applications learning analytics is offering an opportunity to institutions track student’s academic activities and provide them with real-time adaptive consultations if student performance diverts towards inadequate outcome. Still, numerous barriers exist while developing implementing such kind applications. Machine algorithms emerge as useful tools endorse by building ...

TOSCANA is a computer program which allows an online interaction with data bases to analyse and explore data conceptually. Such interaction uses conceptual data systems which are based on formal contexts consisting of relationships between objects and attributes. Those formal contexts often have attributes taken from a thesaurus, which may be understood as ordered set and be completed to a join...

A combination of conceptual analysis and empirical analysis-partial regression and residuals analysis-was used to derive an appropriate functional form hedonic price model. These procedures are illustrated in the derivation of a functional form hedonic model for an automated, econometric daily cotton price reporting system for the Texas-Oklahoma cotton market. Following conceptualization to ded...

This paper introduces a framework for relational schema navigation via a Web-based browser application that uses Formal Concept Analysis as the metaphor for analysis and interaction. Formal Concept Analysis is a rich framework for data analysis based on applied lattice and order theory. The application we develop, D-SIFT, is intended to provide users untrained in Formal Concept Analysis with pr...

This paper introduces D-SIFT, a Web-based browser application that provides untrained users in Formal Concept Analysis with practical and intuitive access to core analysis functionality in Formal Concept Analysis. D-SIFT is an information systems architecture that supports natural search processes over a predefined database schema and its attribute values. This enables the user to build concept...

Logical scaling is a new method to transform data matrices which are based on object-attribute-value-relationships into data matrices from which conceptual hierarchies can be explored. The derivation of concept lattices is determined by terminologies expressed in a formal-logical language.

The search for a rational design subspace of aircraft configurations can be addressed by using the advanced morphological approach (AMA). It allows decomposition problems into functional and/or characteristic attributes and their technological implementation options. These are systemized in matrix (MM). Based on expert evaluations each option, an exhaustive space is generated containing option ...