Multivariate Analysis for the Behavioral Sciences

Kimmo Ilari Vehkalahti, Brian Everitt

Research output: Book/ReportBookScientificpeer-review

Abstract

Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists. Assuming some familiarity with introductory statistics, the book begins by briefly describing a variety of study designs used in the behavioral sciences, and the concept of models for data analysis. The contentious issues of p-values and confidence intervals are also discussed in the introductory chapter.

After describing graphical methods, the book covers regression methods, including simple linear regression, multiple regression, locally weighted regression, generalized linear models, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven chapters deal with multivariate analysis, including principal components analysis, factor analysis, multidimensional scaling, correspondence analysis, and cluster analysis.
Original languageEnglish
Place of PublicationBoca Raton, Florida
PublisherChapman & Hall / CRC
Edition2nd Edition
Number of pages415
ISBN (Print)9780815385158
ISBN (Electronic)9781351202275
Publication statusPublished - 8 Jan 2019
MoE publication typeC1 Scientific book

Publication series

NameStatistics in the Social and Behavioral Sciences Series
PublisherChapman & Hall/CRC

Fields of Science

  • 112 Statistics and probability
  • 515 Psychology

Cite this