Factor analysis is one of the success stories of statistics in the social sciences. The reason for its wide appeal is that it provides a way to investigate latent variables, the fundamental traits and concepts in the study of individual differences. Because of its importance, a conference was held to mark the centennial of the publication of Charles Spearman's seminal 1904 article which introduced the major elements of this invaluable statistical tool. This book evolved from that conference. It provides a retrospective look at major issues and developments as well as a prospective view of future directions in factor analysis and related methods. In so doing, it demonstrates how and why factor analysis is considered to be one of the methodological pillars of behavioral research. Featuring an outstanding collection of contributors, this volume offers unique insights on factor analysis and its related methods. Several chapters have a clear historical perspective, while others present new ideas along with historical summaries. In addition, the book reviews some of the extensions of factor analysis to such techniques as latent growth curve models, models for categorical data, and structural equation models. Factor Analysis at 100 will appeal to graduate students and researchers in the behavioral, social, health, and biological sciences who use this technique in their research. A basic knowledge of factor analysis is required and a working knowledge of linear algebra is helpful.
Philosophical Magazine, 2(series 6) ̧ 559-572. Pearson, E. S., & Hartley, H. O. ... Schwarz, N., Knauper, B., Hippler, H.-J., Noelle-Neumann, E., & Clark, L. (1991). Rating scales: Numeric values may change the meaning of scale labels.
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.
This book provides a non-mathematical introduction to the theory and application of Exploratory Factor Analysis.
Some of the people who have been most instrumental in bringing about changes in the manuscript itself are Peter Bentler, Lee Cooper, Ken Ford, Richard Harshman, Diana Solar, and Mike Vandeman. Last but not least, I am indebted to my ...
Fleishman, E. A., & Hempel, W. E., Jr. Changes in factor structure of a complex psychomotor test as a function of practice. Psychometrika, 1954, 19, 239–252. Fuller, E. L., Jr. ... Gibson, W. A. Remarks on Tucker's interbattery ...
Harry H. Harman. Cady , L. D. , Gertler , M. M. , Gottsch ... Caldwell , M. 1971. WECOS : A direct , noniterative , oblique ... Cattell , R. B. , Breuel , H. , and Hartman , H. P. 1952. An attempt at more refined definition of the ...
This book is written primarily as a text for a course in factor analysis at the advanced undergraduate or graduate level.
The book developed from research undertaken to do a 236-variable cross-national analysis.
This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open source software R. In this book, Dr. Watkins systematically reviews each decision step in EFA with screen ...
Component analysis and factor analysis differ in that the abstractions in the first are as numerous as the ... This chapter, introducing the student as by a first course, presents the centroid method of calculation in detail and the ...