-
Chapter
Early Roots of Psychometrics Before Francis Galton
Although one of the flagships of psychometrics, factor analysis, could not have been invented without Francis Galton’s (1822–1911) groundbreaking concept of correlation, some other psychometric concepts had be...
-
Chapter
The Emergence of Joint Scales in the Social and Behavioural Sciences: Cumulative Guttman Scaling and Single-Peaked Coombs Scaling
Two approaches to psychological scaling evolved in the nineteenth century. The subject-centred approach quantifies individual differences in ability by standardised person scores. It started with Francis Galto...
-
Chapter
Map** Networks and Trees with Multidimensional Scaling of Proximities
Network methodology typically has two separate stages: (1) constructing a graph from relational data, and (2) drawing the graph on a map to comprehend its structure. Multidimensional scaling (MDS) is discussed...
-
Article
A distribution-free soft-clustering method for preference rankings
Typically, ranking data consist of a set of individuals, or judges, who have ordered a set of items—or objects—according to their overall preference or some pre-specified criterion. When each judge has express...
-
Article
Open AccessAn Academic Genealogy of Psychometric Society Presidents
In this paper, we present the academic genealogy of presidents of the Psychometric Society by constructing a genealogical tree, in which Ph.D. students are encoded as descendants of their advisors. Results show t...
-
Article
A Recursive Partitioning Method for the Prediction of Preference Rankings Based Upon Kemeny Distances
Preference rankings usually depend on the characteristics of both the individuals judging a set of objects and the objects being judged. This topic has been handled in the literature with log-linear representa...
-
Article
Editorial
-
Article
Editorial
-
Article
Editorial
-
Article
Cluster Differences Unfolding for Two-Way Two-Mode Preference Rating Data
Classification and spatial methods can be used in conjunction to represent the individual information of similar preferences by means of groups. In the context of latent class models and using Simulated Anneal...
-
Article
Editorial
-
Article
In memoriam, J. Douglas Carroll 1939–2011
-
Chapter and Conference Paper
Clustering and Prediction of Rankings Within a Kemeny Distance Framework
Rankings and partial rankings are ubiquitous in data analysis, yet there is relatively little work in the classification community that uses the typical properties of rankings. We review the broader literature...
-
Article
J. Douglas Carroll 1939–2011
-
Article
Editorial
-
Article
Editorial
-
Article
Editorial
-
Article
Editorial
-
Article
Editorial
-
Article
Editorial