A three-mode covariance matrix contains covariances of N observations (e.g., subject scores) on J variables for K different occasions or conditions. We model such an JK×JK covariance matrix as the sum of a (common) covariance matrix having Candecomp/Parafac form, and a diagonal matrix of unique...

This paper establishes the tactics that auditors use in negotiations with their client-management. It analyses those tactics to determine whether they are related by some underlying dimensions and their relevant strategies. Auditors performed a sorting task on 38 audit-specific tactics and...

In many of the social sciences it is useful to explore the “working models” or mental schemata that people use to organise items from some cognitive or perceptual domain. With an increasing number of items, versions of the Method of Sorting become important techniques for collecting data...

Multidimensional scaling is a technique for exploratory analysis of multidimensional data. The essential part of the technique is minimization of a multimodal function with unfavorable properties like invariants and non-differentiability. Recently a branch and bound algorithm for...

The problem of multidimensional scaling with city-block distances in the embedding space is reduced to a two level optimization problem consisting of a combinatorial problem at the upper level and a quadratic programming problem at the lower level. A hybrid method is proposed combining...

Water occupies a prominent role in global environmental change research as a result of its importance in the efficient functioning of the Earth System, and its role in socioeconomic development. Anthropogenic and natural factors have led to unparalleled changes in the global water system,...