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## Details

Genre/Form: | Electronic books |
---|---|

Additional Physical Format: | Print version: Gorsuch, Richard L. Factor Analysis : Classic Edition. Hoboken : Taylor and Francis, ©2014 |

Material Type: | Document, Internet resource |

Document Type: | Internet Resource, Computer File |

All Authors / Contributors: |
Richard L Gorsuch |

ISBN: | 9781317564898 1317564898 |

OCLC Number: | 897376804 |

Description: | 1 online resource |

Contents: | Cover; Title Page; Copyright Page; Dedication; Table of Contents; Preface; Preface to the First Edition; Introduction to the Classic Edition; 1 Introduction; 1.1 Science and factor analysis; 1.2 Elementary procedures for factoring; 1.3 Examples; 2 Basic Factor Models; 2.1 Multivariate linear models and factor analysis; 2.2 The full component model; 2.3 The common factor model; 2.4 Correlated and uncorrelated factor models; 2.5 Which factor-analytic model?; 3 Matrix Algebra and Factor Analysis; 3.1 Matrix definitions and notation; 3.2 Matrix operations. 3.3 Definitional equations in matrix algebra form3.4 The full component model expressed in matrix algebra; 3.5 The common factor model in matrix algebra; 3.6 Uncorrelated factor models and matrix algebra; 4 Geometric Representation of Factor Models; 4.1 Representing variables and factors geometrically; 4.2 The uncorrelated (orthogonal) component model; 4.3 The correlated (oblique) component model; 4.4 Common factor models; 5 Diagonal and Multiple-group Analysis; 5.1 Diagonal analysis; 5.2 Multiple-group factor analysis; 5.3 Applications of diagonal and multiple-group factor analysis. 6 Principal Factor Solutions6.1 Characteristics of principal factor methods; 6.2 Principal components; 6.3 Communality estimation and principal axes; 6.4 Image analysis; 6.5 Other related procedures; 6.6 Nonlinear and nonmetric factor analysis; 6.7 Applications for principal factors; 6.8 A comparison of factor extraction procedures; 7 Confirmatory Maximum Likelihood Solutions; 7.1 The maximum likelihood concept; 7.2 Confirmatory maximum likelihood factor analysis; 7.3 Applications; 7.4 Hypothesis testing by maximum likelihood and multiple-group procedures; 8 Determining the Number of Factors. 8.1 Adequacy of the fit of the model to the data8.2 Statistical approaches to the number of factors; 8.3 Mathematical approaches to the number of factors; 8.4 Extracting the nontrivial factors; 8.5 The search for the proper number of factors; 9 Rotation and Interpretation of Factors; 9.1 Principles for guiding the rotation of factors; 9.2 Orthogonal rotation for simple structure; 9.3 Oblique analytic rotation for simple structure; 9.4 Comparing alternative solutions; 9.5 Interpreting factors; 10 Rotation; 10.1 Algebraic principles of rotation; 10.2 Rotating visually. 10.3 Orthoblique solutions10.4 Nonsimple structure rotation; 10.5 Extension analysis; 11 Higher-order Factors; 11.1 Interpretation of higher-order factors; 11.2 Extracting higher-order factors; 11.3 Relationship of variables to higher-order factors; 11.4 Usefulness of higher-order factors; 12 Factor Scores; 12.1 Procedures for computing factor scores; 12.2 Approximation procedures for factor scores; 12.3 Cluster analysis of individuals: typological scoring; 12.4 Evaluating the factor scores; 12.5 Selecting among procedures; 13 Relating Factors Across Studies. |

Series Title: | Psychology Press & Routledge Classic Editions. |

Responsibility: | by Richard L. Gorsuch. |

### Abstract:

## Reviews

*Editorial reviews*

Publisher Synopsis

"I have used Gorsuch's book "Factor Analysis" in my courses on exploratory factor analysis for the past ten years. I consider the book to be a classic in the field, and even though it was published in 1983, the book maintains its relevance. The author provides solid practical advice for researchers using factor analytic techniques that is just as important today as it was when the book was written. In addition to his practical advice, Gorsuch provides the mathematical underpinnings of factor analytic techniques so that students and applied researchers can truly understand the "inner workings" of these methods. In my view, his book is the ideal combination of technical rigor and practical advice, which results in a comprehensive text that is accessible to applied researchers." - Deborah L. Bandalos, James Madison University, USA "Factor analysis is a widely used statistical technique across many disciplines. Its use will not decrease any time soon. Yet, the knowledge of its basics, as it was developed in the 60s and 70s can only be found in classic books. A reprint of Gorsuch's book of factor analysis is timely and it will be well received." - Albert Maydeu-Olivares, University of Barcelona, Spain "Gorsuch is a staple for anyone interested in an informative and accessible presentation of factor analysis (FA).The book presents the mathematics of FA in an applied and comprehensible style that is understandable to most readers. The material presented is still essential for current teaching, learning, and application. Anyone interested in FA will readily find this book an instructive classic by a well-respected expert." - Lisa L. Harlow, University of Rhode Island, USA Read more...

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### Related Subjects:(5)

- Factor analysis.
- Psychology -- Mathematical models.
- Social sciences -- Mathematical models.
- MATHEMATICS / Applied
- MATHEMATICS / Probability & Statistics / General

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by jodichilson updated 2017-01-18