TY - BOOK

T1 - Multivariate Analysis for the Behavioral Sciences

AU - Vehkalahti, Kimmo Ilari

AU - Everitt, Brian

N1 - Data sets, R codes of examples and exercises openly available in GitHub: https://github.com/KimmoVehkalahti/MABS

PY - 2019/1/8

Y1 - 2019/1/8

N2 - 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.

AB - 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.

KW - 112 Statistics and probability

KW - 515 Psychology

UR - https://www.crcpress.com/Multivariate-Analysis-for-the-Behavioral-Sciences-Second-Edition/Vehkalahti-Everitt/p/book/9780815385158

M3 - Book

SN - 9780815385158

T3 - Statistics in the Social and Behavioral Sciences Series

BT - Multivariate Analysis for the Behavioral Sciences

PB - Chapman & Hall / CRC

CY - Boca Raton, Florida

ER -