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Factor Analysis: Statistical Methods and Practical Issues
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Jae-On Kim, Charles Mueller
Describes various commonly used methods of initial factoring and factor rotation. In addition to a full discussion of exploratory factor analysis, confirmatory factor analysis and various methods of constructing factor scales are also presented.
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Introduction to Factor Analysis: What It is and How to Do It
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Jae-On Kim, Charles W Mueller
Describes the mathematical and logical foundations at a level which does not presume advanced mathematical or statistical skills, illustrating how to do factor analysis with several of the more popular packaged computer programmes.
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Modern Factor Analysis
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Harry Harman
This thoroughly revised edition of Harry H. Harman's authoritative text incorporates the many new advances made in computer science and technology over the last ten years. The author gives full coverage to both theoretical and applied aspects of factor analysis from its foundations through the most advanced techniques. This highly readable text ...
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An Easy Guide to Factor Analysis
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Paul Kline, Kline Paul
Factor analysis is a statistical technique widely used in psychology and the social sciences. With the advent of powerful computers, factor analysis and other multivariate methods are now available to many more people. An Easy Guide to Factor Analysis presents and explains factor analysis as clearly and simply as possible. The author, Paul Kline, ...
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Factor Analysis in Chemistry
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Edmund R Malinowski
Factor analysis is a mathematical tool for examining a wide range of data sets, with applications especially important to the design of experiments (DOE), spectroscopy, chromatography, and chemometrics. Whereas the first two editions concentrated on standardizing the fundamentals of this emerging discipline, the Third Edition of Factor Analysis in ...
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The Essentials of Factor Analysis
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Dennis Child
Factor analysis is an increasingly important tool for understanding and working with quantitative data. It is used in psychology, education (for analysing exam results), medical science, economics and other scientific fields, and allows one to work with statistics from an area where many variables are involved. Even those who are not called on to ...
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Structural Equation Modeling with Eqs and Eqs/Windows: Basic Concepts, Applications, and Programming
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Barbara M Byrne
Designed to help beginners estimate and test structural equation modelling (SEM) using the EQS approach, this book demonstrates a variety of SEM//EQS applications that include both partial factor analytic and full latent variable models. Beginning with an overview of the basic concepts of SEM and the EQS program, the author works through ...
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Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research
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Marjorie A Pett, Nancy R Lackey, John J Sullivan
Many health care practitioners and researchers are aware of the need to employ factor analysis in order to develop more sensitive instruments for data collection. Unfortunately, factor analysis is not a unidimensional approach that is easily understood by even the most experienced of researchers. Making Sense of Factor Analysis: The Use of Factor ...
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Factor Analysis at 100: Historical Developments and Future Directions
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Robert Cudeck
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 recent conference was held to mark the centennial of the publication ...
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Epidermal Growth Factor: Methods and Protocols
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Tarun B Patel (Editor), Paul J Bertics (Editor)
This is a comprehensive collection of optimized methods for dissecting the mechanisms that control epidermal growth factors (EGF) and their regulators in both normal and pathological states. These readily reproducible techniques range from the study of purified EGF receptor to complex signaling and processing networks in intact cells, including a ...
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Canonical Analysis and Factor Comparison
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Mark S Levine
An advanced study which presumes a knowledge of multiple regression and factor analysis techniques, this paper considers two techniques for comparing entire sets of data, and develops the canonical correlation model as an extension of regression analysis in which there are several dependent variables.
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Applied Factor Analysis in the Natural Sciences
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Richard A Reyment, K G Joreskog
This graduate-level text aims to introduce students of the natural sciences to the powerful technique of factor analysis and to provide them with the background necessary to be able to undertake analyses on their own. A thoroughly updated and expanded version of the authors' successful textbook on geological factor analysis, this book draws on ...
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Multiple-factor analysis; a development and expansion of The vectors of mind.
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L. L. Thurstone
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Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis
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Dr. John C Loehlin
This book is intended as an introduction to a growing area in social science methodology - the use of multiple-latent-variable models. Psychologists and other social scientists have long been familiar with one subvariety of such modelling - exploratory factor analysis. In recent decades, confirmatory factor analysis, path analysis, and structural ...
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Prehistoric Adaptation in the American Southwest
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Rosalind L Hunter-Anderson
This book is about post-Pleistocene adaptive change among the aboriginal cultures of the mountains and deserts of Arizona and New Mexico. Conceived essentially as a natural science alternative to the prevailing culture history paradigm, it offers both a general theoretical framework for interpreting the archaeological record of the American South ...
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Modelling Covariances and Latent Variables Using Eqs
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G Dunn, Brian S Everitt, Andrew Pickles
This primer has been designed as a self-instructional text which serves to introduce the reader to both the principles of statistical modelling of covariance structures and to the use of the EQS software package. It is divided into three parts - the first covering the basic ideas and language of covariance structure modelling together with an ...
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Latent Variable Models & Factor Analysis
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by
Prof. David J Bartholomew
Hitherto latent variable modelling has hovered on the fringes of the statistical mainstream but if the purpose of statistics is to deal with real problems, there is every reason for it to move closer to centre stage. In the social sciences especially, latent variables are common and if they are to be handled in a truly scientific manner, ...
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Active Alpha: A Portfolio Approach to Selecting and Managing Alternative Investments
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Alan H Dorsey
Enhance overall investment returns by using alternative investments as the centerpiece of a portfolio. Alternative investments such as hedge funds, private equity, and real estate are growing in both popularity and importance, with more than $1 trillion invested in them. Filled with cutting-edge material on the latest trends in the world of ...
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Human Cognitive Abilities: A Survey of Factor-Analytic Studies
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John Bissell Carroll
This long awaited work surveys and summarizes the results of more than seventy years of investigation, by factor analysis, of a variety of cognitive abilities, with particular attention to language, thinking, memory, visual and auditory perception, creativity and the production of ideas, and the speed and accuracy of mental processing. The author ...
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Intelligence
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Paul Kline, Kline Paul
The psychometry of intelligence is one of psychology's great achievements yet it is poorly understood. Paul Kline's latest book provides a modern, readable introduction to the subject. Written to be clear and concise it none the less provides a rigorous account of the psychometric view of intelligence. Paul Kline explains factor analysis and the ...
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A First Course in Factor Analysis
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Andrew Laurence Comrey
This text emphasizes the theory and correct application of factor analytic techniques. The theory is presented through the mathematical basis of the most common analytic models and methods. The application side focuses on the problems of extraction and rotation, and the interpretation of results.
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Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis
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Dr. John C Loehlin
This book introduces multiple-latent variable models by utilizing path diagrams to explain the underlying relationships in the models. This approach helps less mathematically inclined students grasp the underlying relationships between path analysis, factor analysis, and structural equation modeling more easily. A few sections of the book make use ...
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Confirmatory Factor Analysis for Applied Research
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Timothy A Brown, Psyd, David A Kenny (Notes by)
Emphasizing practical and conceptual aspects of confirmatory factor analysis (CFA) over mathematics and formulas, Brown uses rich examples derived from the psychology, management, and sociology literatures to provide in-depth treatment of the concepts, procedures, pitfalls, and extensions of CFA methodology. Chock-full of useful advice, and ...
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Mathematical thinking in the measurement of behavior: small groups, utility, factor analysis. A study of the Behavioral Models Project, Bureau of Applied Social Research, Columbia University.
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Herbert Solomon (Editor)
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Factor Analysis 2nd Ed.
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by
Richard L Gorsuch
This text covers the basic and advanced topics needed for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. Emphasizing the usefulness of the techniques, it presents mathematical background for understanding and discussion of applications for effective use. This includes not only theory, but also ...
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