Presenting an understanding of how factor analysis works, this text discusses the assumptions underlying the equations and procedures of this method. It includes a chapter on the multivariate normal distribution, its general properties, and the concept of maximum-likelihood esti…
Providing a practical, thorough understanding of how factor analysis works, Foundations of Factor Analysis, Second Edition discusses the assumptions underlying the equations and procedures of this method. It also explains the options in commercial computer programs for performin…
In one volume, this authoritative reference presents a current, comprehensive overview of intellectual and cognitive assessment, with a focus on practical applications. Leaders in the field describe major theories of intelligence and provide the knowledge needed to use the lates…
This handbook offers comprehensive coverage of structural equation modeling (SEM), beginning with background issues, continuing through statistical underpinnings and steps in implementation, then moving into basic and advanced applications of SEM. In a single volume, it offers v…
Principal component analysis is a multivariate technique in which a number of related variables are transformed to a set of uncorrelated variables. This paperback reprint of a Wiley bestseller is designed for practitioners of principal component analysis.
Principal component analysis is a multivariate technique in which a number of related variables are transformed to a set of uncorrelated variables. This paperback reprint of a Wiley bestseller is designed for practitioners of principal component analysis.