Related Experiment Video
Updated: Jul 27, 2026

Cross-Modal Multivariate Pattern Analysis
Published on: November 9, 2011
PLS model building: a multivariate approach to personality test data
M Henningsson1, E Sundbom, B A Armelius
1Department of Psychology, Umeå University, Sweden. mikael.henningsson@psy.umu.se
Abstract:
The aim of this study was to demonstrate how personality test data can be plotted with a multivariate method known as Partial Least Squares of Latent Structures (PLS). The basic methodology behind PLS modeling is presented and the example demonstrates how a PLS model of personality test data can be used for diagnostic prediction. Principles for validating the models are also presented. The conclusion is that PLS modeling appears to be a powerful method for extracting clinically relevant information from complex personality test data matrixes. It could be used as a complement to more hard modeling methods in the process of examining a new area of interest.
Related Concept Videos
Mechanistic Models: Compartment Models in Individual and Population Analysis
Introduction to Personality Psychology
Early Theories of Personality
The study of personality dates...
Cattell's 16 Personality Factors
In contrast, source traits are the fundamental,...
Personality Theory by Eysenck and Eysenck
In the extroversion/introversion dimension, highly extroverted people are sociable, outgoing, and easily connect with others. In contrast,...
Five-Factor Theory of Personality
Openness reflects creativity, curiosity, and openness to new experiences. Individuals scoring high in openness are imaginative, have a wide range of interests, and are independent thinkers. Low...
Self-Report Tests of Personality

