5 edition of **Factor analysis and related methods** found in the catalog.

- 221 Want to read
- 33 Currently reading

Published
**1985** by Lawrence Erlbaum Associates in Hillsdale, N.J .

Written in English

- Social sciences -- Statistical methods.,
- Factor analysis.

**Edition Notes**

Statement | Roderick P. McDonald. |

Classifications | |
---|---|

LC Classifications | HA29 .M4385 1985 |

The Physical Object | |

Pagination | x, 259 p. : |

Number of Pages | 259 |

ID Numbers | |

Open Library | OL2858488M |

ISBN 10 | 0898593883 |

LC Control Number | 84021157 |

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Factor Analysis and Related Methods should prove a useful text for graduate and advanced undergraduate students in economics, the behavioral sciences, and education. Researchers and practitioners in those fields will also find this book a handy by: Factor Analysis and Related Methods should prove a useful text for graduate and advanced undergraduate students in economics, the behavioral sciences, and education.

Researchers and practitioners in those fields will also find this book a handy reference. Book Description Factor Analysis is a genetic term for a somewhat vaguely delimited set of techniques for data processing, mainly applicable to the social and biological sciences.

These techniques have been developed for the analysis of mutual relationships among a number of measurements made on a number of measurable entities. Statistical Factor Analysis and Related Methods assumes readers will have a fundamental background in calculus, linear algebra, and introductory statistics while providing basic coverage in these fields in the first two chapters for those who may lack such grounding.

In addition, these chapters offer an accessible review of some of the more Cited by: Factor Analysis and Related Methods should prove a useful text for graduate and advanced undergraduate students in economics, the behavioral sciences, and education.

Researchers and practitioners in those fields will also find this book a handy by: Statistical Factor Analysis and Related Methods: Theory and Applications (Wiley Series in Probability and Statistics) | Alexander T.

Basilevsky | download | B–OK. Download books for free. Find books. A brief SAGE publication that provides a lucid introduction to the statistical technique of factor analysis. This is a classic data reduction technique, where one takes numerous variables and then explores the extent to which these can be reduced to a small number of factors Cited by: factor analysis and related methods Posted By Gérard de Villiers Publishing TEXT ID b35cd Online PDF Ebook Epub Library Factor Analysis And Related Methods INTRODUCTION: #1 Factor Analysis And ** eBook Factor Analysis And Related Methods ** Uploaded By Gérard de Villiers, factor analysis isnt a single technique but a family of statistical methods that can be.

1 Review 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 Reviews: 1.

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Factor Analysis and Related Methods [Book Review]. Widaman, Keith F. Journal of Educational Statistics, v12 n3 p Fall The reviewer praises the book as a good elementary introduction to theory and method in factor analysis as it applies to Author: Keith F.

Widaman. Factor Analysis Related Methods Book Review Author: + Subject: Factor Analysis Related Methods Book Review Keywords: factor, analysis, related, methods, book, review Created Date: 11/27/ PM. Statistical Factor Analysis and Related Methods Theory andApplications In bridging the gap between the mathematical andstatistical theory of factor analysis, this new work represents thefirst unified treatment of the theory and practice of factoranalysis and latent variable : $ Statistical Factor Analysis and Related Methods Theory and Applications In bridging the gap between the mathematical and statistical theory of factor analysis, this new work represents the first unified treatment of the theory and practice of factor analysis and latent variable models.

Factor Analysis and Related Methods by R. McDonald Hillsdale, NJ: Erlbaum, x + pp. Reviewed by Keith F. Widaman University of California at Riverside The publication of a book-length manuscript on factor analytic methods by Professor McDonald should be of great interest to the psychometric community.

Statistical Factor Analysis and Related Methods Theory andApplications In bridging the gap between the mathematical andstatistical theory of factor analysis, this new work represents thefirst unified treatment of the theory and practice of factoranalysis and latent variable models.

It focuses on such areasas: * The classical principal components model and sample-populationinference * Several. Books giving further details are listed at the end.

As for principal components analysis, factor analysis is a multivariate method used for data reduction purposes. Again, the basic idea is to represent a set of variables by a smaller number of variables. In this case they are called factors.

Learn to Test for Metric Invariance Using Multi-Group Confirmatory Factor Analysis (MGCFA) in SPSS AMOS With Data From the International Sponsorship Study () Structural Equation Modeling: Anxiety, Depression, and Post-Traumatic Stress Disorder in Women With Obstetric Fistula; The Use of Factor Analysis for Questionnaire Development: Lessons.

Gorsuch presents a solid introduction to factor analysis. In this, he covers the conceptual basics, including FA's relationship to principal component analysis - a related technique for reducing dimensionality.

The presentation includes a few surprises for someone more accustomed to PCA, including non-orthogonal factor and factor s: 7.

PDF | On Jan 1,Keith F. Widaman published Book Reviews:Factor Analysis and Related MethodsR. McDonald Hillsdale, NJ: Erlbaum, x + pp | Author: Keith Widaman. Get this from a library. Factor analysis and related methods. [Roderick P McDonald] -- Factor analysis is a genetic term for a somewhat vaguely delimited set of techniques for data processing, mainly applicable to the social and biological sciences.

These techniques have been developed. Factor Analysis and Related Methods should prove a useful text for graduate and advanced undergraduate students in economics, the behavioral sciences, and education.

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Factor analysis is a statistical technique, the aim of which is to simplify a complex data set by representing the set of variables in terms of a smaller number of underlying (hypothetical or unobservable) variables, known as factors or latent variables.

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FAIR: A Methodology for Quantifying and Managing Risk in Any Organization. Factor Analysis of Information Risk (FAIR TM) is the only international standard quantitative model for information security and operational provides a model for understanding, analyzing and quantifying cyber risk and operational risk in financial terms.

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In statistics, multiple correspondence analysis (MCA) is a data analysis technique for nominal categorical data, used to detect and represent underlying structures in a data set. It does this by representing data as points in a low-dimensional Euclidean procedure thus appears to be the counterpart of principal component analysis for categorical data.