A Call for Conducting Multivariate Mixed Analyses

A Reference Methodology for Conducting Ontological Analyses

The ontological analysis of conceptual modelling techniques is of increasing popularity. Related research did not only explore the ontological deficiencies of classical techniques such as ER or UML, but also business process modelling techniques such as ARIS or even Web services standards such as BPEL4WS. While the selected ontologies are reasonably mature, it is the actual process of an ontolo...

Multivariate Generalizability Analyses of Mixed-Format Advanced Placement Exams

When combining item types within assessments, it is important to consider the reliability of scores for each item type and the reliability of composite scores. This study investigated the effect of scoring procedures, section weights, and numbers of items per section on reliability, error variance, and conditional standard errors of measurement, using multivariate generalizability theory techni...

a standard model of conducting pharmaceutical budget impact analyses for drug reimbursement in iran

Eigenimages and multivariate analyses

Affymetrix GeneChip microarray preprocessing for multivariate analyses

Affymetrix GeneChip microarrays are the most widely used high-throughput technology to measure gene expression, and a wide variety of preprocessing methods have been developed to transform probe intensities reported by a microarray scanner into gene expression estimates. There have been numerous comparisons of these preprocessing methods, focusing on the most common analyses-detection of differ...