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Providing a practical, thorough understanding of how factor analysis works, this text discusses the assumptions underlying the equations and procedures of this method. This long-awaited second edition includes a new chapter on the multivariate normal distribution, its general properties, and the concept of maximum-likelihood estimation. It also contains a rewritten chapter on analytic oblique rotation that focuses on the gradient projection algorithm and its applications as well as a revised chapter on confirmatory factor analysis. This edition offers more complete coverage of descriptive factor analysis and doublet factor analysis and explores the developments of factor score indeterminacy.
Providing a practical, thorough understanding of how factor analysis works, this text discusses the assumptions underlying the equations and procedures of this method. This long-awaited second edition includes a new chapter on the multivariate normal distribution, its general properties, and the concept of maximum-likelihood estimation. It also contains a rewritten chapter on analytic oblique rotation that focuses on the gradient projection algorithm and its applications as well as a revised chapter on confirmatory factor analysis. This edition offers more complete coverage of descriptive factor analysis and doublet factor analysis and explores the developments of factor score indeterminacy.
Stanley A. Mulaik is a Professor Emeritus in the School of Psychology at the Georgia Institute of Technology.
Introduction. Mathematical Foundations for Factor Analysis. Composite Variables and Linear Transformations. Multiple and Partial Correlations. Multivariate Normal Distribution. Fundamental Equations of Factor Analysis. Methods of Factor Extraction. Common-Factor Analysis. Other Models of Factor Analysis. Factor Rotation. Orthogonal Analytic Rotation. Oblique Analytic Rotation. Factor Scores and Factor Indeterminacy. Factorial Invariance. Confirmatory-Factor Analysis. References. Indices.
| Erscheinungsjahr: | 2009 |
|---|---|
| Fachbereich: | Grundlagen (Methodik & Statistik) |
| Genre: | Psychologie |
| Rubrik: | Geisteswissenschaften |
| Medium: | Buch |
| Seiten: | 548 |
| Inhalt: | Einband - fest (Hardcover) |
| ISBN-13: | 9781420099614 |
| ISBN-10: | 1420099612 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: | Mulaik, Stanley A |
| Hersteller: | Taylor & Francis Ltd |
| Maße: | 244 x 167 x 33 mm |
| Von/Mit: | Stanley A Mulaik |
| Erscheinungsdatum: | 25.09.2009 |
| Gewicht: | 0,99 kg |
Stanley A. Mulaik is a Professor Emeritus in the School of Psychology at the Georgia Institute of Technology.
Introduction. Mathematical Foundations for Factor Analysis. Composite Variables and Linear Transformations. Multiple and Partial Correlations. Multivariate Normal Distribution. Fundamental Equations of Factor Analysis. Methods of Factor Extraction. Common-Factor Analysis. Other Models of Factor Analysis. Factor Rotation. Orthogonal Analytic Rotation. Oblique Analytic Rotation. Factor Scores and Factor Indeterminacy. Factorial Invariance. Confirmatory-Factor Analysis. References. Indices.
| Erscheinungsjahr: | 2009 |
|---|---|
| Fachbereich: | Grundlagen (Methodik & Statistik) |
| Genre: | Psychologie |
| Rubrik: | Geisteswissenschaften |
| Medium: | Buch |
| Seiten: | 548 |
| Inhalt: | Einband - fest (Hardcover) |
| ISBN-13: | 9781420099614 |
| ISBN-10: | 1420099612 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: | Mulaik, Stanley A |
| Hersteller: | Taylor & Francis Ltd |
| Maße: | 244 x 167 x 33 mm |
| Von/Mit: | Stanley A Mulaik |
| Erscheinungsdatum: | 25.09.2009 |
| Gewicht: | 0,99 kg |
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