Roderick P. McDonald

Factor Analysis and Related Methods (eBook, PDF)

• Format: PDF

Produktbeschreibung

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. In the broad sense, factor analysis comprises a number of statistical models which yield testable hypotheses -- hypotheses that may confirm or disconfirm in terms of the usual statistical procedures for making tests of significance. It also comprises a number of simplifying procedures for the approximate description of data, which do not in any sense constitute disconfirmable hypotheses, except in the loose sense that they supply approximations to the data. In literature, the two types of analysis have often been confused.

This book clarifies the concepts of factor analysis for students or professionals in the social sciences who wish to know the technique, rather than the mathematics, of factor theory. Mathematical concepts are described to have an intuitive meaning for the non-mathematical reader. An account of the elements of matrix algebra, in the appendix, and the (mathematical) notes following each chapter will help the reader who wishes to receive a more advanced treatment of the subject. 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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 272
• Erscheinungstermin: 14. Januar 2014
• Englisch
• ISBN-13: 9781317768777
• Artikelnr.: 40344229

Autorenporträt

Roderick P. McDonald

Inhaltsangabe

Contents: Preface. Introduction. Exploratory Common Factor Analysis. The
Analysis of Covariance Structures: Confirmatory Factor Analysis and Pattern
Hypotheses. Models for Linear Structural Relations. The Problem of Factor
Scores. Problems of Relationship Between Factor Analyses. Item Response
Theory. Summary. Appendix: Some Matrix Algebra.