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Factor Analysis and Related Methods
Factor Analysis and Related Methods
상세정보
- 자료유형
- 단행본
- Control Number
- n868490501
- International Standard Book Number
- 9781317768760 (electronic bk.)
- International Standard Book Number
- 1317768760 (electronic bk.)
- Library of Congress Call Number
- HA29 .M4385 2014
- Dewey Decimal Classification Number
- 519.9
- Main Entry-Personal Name
- McDonald, Roderick P.
- Publication, Distribution, etc. (Imprint
- Hoboken : Taylor and Francis, 2014
- Physical Description
- 1 online resource (476 pages)
- Formatted Contents Note
- 완전내용Cover; Title; Copyright; Contents; Dedication; Preface; 1. Introduction; 1.1 Aims of the Book; 1.2 Review of Basic Concepts; 1.3 Multiple Regression Theory: The Foundation of Factor Analysis; 1.4 Some Basic Multivariate Hypotheses; 1.5 The Key Concepts of Common Factor Analysis; 1.6 Mathematical Notes on Chapter 1; 2. Exploratory Common Factor Analysis; 2.1 The Parameters of the Common Factor Model; 2.2 Estimation; 2.3 Component Theory, Image Theory, Approximate Methods, and Heywood Cases; 2.4 Devices for Approximating Simple Structure; 2.5 Related Methods; 2.6 Mathematical Notes on Chapter 2.
- Formatted Contents Note
- 완전내용3. The Analysis of Covariance Structures: Confirmatory Factor Analysis and Pattern Hypotheses3.1 Introduction; 3.2 Confirmatory Factor Analysis; 3.3 Pattern Hypotheses and Parallel Tests; 3.4 Mathematical Notes on Chapter 3; 4. Models for Linear Structural Relations; 4.1 Causal Relations and Causal Modeling; 4.2 McArdle's Model for Linear Structural Relations; 4.3 Mathematical Notes on Chapter 4; 5. The Problem of Factor Scores; 5.1 Factor Analysis as a Test Construction Device; 5.2 The Estimation of Common Factors; 5.3 The Indeterminacy of Common Factors; 5.4 Mathematical Notes on Chapter 5.
- Formatted Contents Note
- 완전내용6. Problems of Relationship Between Factor Analyses6.1 The Comparison of Separate Analyses; 6.2 Simultaneous Factor Analysis in Several Populations; 6.3 Repeated-Measures Designs; 7. Item Response Theory; 7.1 The Problem of Binary (Dichotomous) Data; 7.2 Item Response Theory-Latent Trait Theory; 7.3 Factor Analysis and Test Theory; 8. Summary; 8.1 Introduction; 8.2 Exploratory Common Factor Analysis; 8.3 The Analysis of Covariance Structures; 8.4 Models for Linear Structural Relations; 8.5 The Problem of Factor Scores; 8.6 Problems of Relationship Between Factor Analyses.
- Formatted Contents Note
- 완전내용8.7 Item Response TheoryAppendix-Some Matrix Algebra; A.1 Matrices, Vectors, Scalars; A.2 Matrix Equalities, Sums and Differences; A.3 Multiplication-Length of a Vector; A.4 The Trace of a Matrix; A.5 Special Matrices; A.6 The Inverse of a Matrix; A.7 Determinants; A.8 Partitioned Matrices; A.9 Expected Values; References; Author Index; Subject Index.
- Summary, Etc.
- 요약Factor 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 proce.
- Subject Added Entry-Topical Term
- Social sciences Statistical methods
- Subject Added Entry-Topical Term
- Factor analysis
- Subject Added Entry-Topical Term
- MATHEMATICS Applied.
- Subject Added Entry-Topical Term
- MATHEMATICS Probability & Statistics General.
- Subject Added Entry-Topical Term
- Factor analysis.
- Subject Added Entry-Topical Term
- Social sciences Statistical methods.
- Additional Physical Form Entry
- Print versionMcDonald, Roderick P. Factor Analysis and Related Methods. Hoboken : Taylor and Francis, ©2014 9780898593884
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:498786
MARC
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■5050 ▼aCover; Title; Copyright; Contents; Dedication; Preface; 1. Introduction; 1.1 Aims of the Book; 1.2 Review of Basic Concepts; 1.3 Multiple Regression Theory: The Foundation of Factor Analysis; 1.4 Some Basic Multivariate Hypotheses; 1.5 The Key Concepts of Common Factor Analysis; 1.6 Mathematical Notes on Chapter 1; 2. Exploratory Common Factor Analysis; 2.1 The Parameters of the Common Factor Model; 2.2 Estimation; 2.3 Component Theory, Image Theory, Approximate Methods, and Heywood Cases; 2.4 Devices for Approximating Simple Structure; 2.5 Related Methods; 2.6 Mathematical Notes on Chapter 2.
■5058 ▼a3. The Analysis of Covariance Structures: Confirmatory Factor Analysis and Pattern Hypotheses3.1 Introduction; 3.2 Confirmatory Factor Analysis; 3.3 Pattern Hypotheses and Parallel Tests; 3.4 Mathematical Notes on Chapter 3; 4. Models for Linear Structural Relations; 4.1 Causal Relations and Causal Modeling; 4.2 McArdle's Model for Linear Structural Relations; 4.3 Mathematical Notes on Chapter 4; 5. The Problem of Factor Scores; 5.1 Factor Analysis as a Test Construction Device; 5.2 The Estimation of Common Factors; 5.3 The Indeterminacy of Common Factors; 5.4 Mathematical Notes on Chapter 5.
■5058 ▼a6. Problems of Relationship Between Factor Analyses6.1 The Comparison of Separate Analyses; 6.2 Simultaneous Factor Analysis in Several Populations; 6.3 Repeated-Measures Designs; 7. Item Response Theory; 7.1 The Problem of Binary (Dichotomous) Data; 7.2 Item Response Theory-Latent Trait Theory; 7.3 Factor Analysis and Test Theory; 8. Summary; 8.1 Introduction; 8.2 Exploratory Common Factor Analysis; 8.3 The Analysis of Covariance Structures; 8.4 Models for Linear Structural Relations; 8.5 The Problem of Factor Scores; 8.6 Problems of Relationship Between Factor Analyses.
■5058 ▼a8.7 Item Response TheoryAppendix-Some Matrix Algebra; A.1 Matrices, Vectors, Scalars; A.2 Matrix Equalities, Sums and Differences; A.3 Multiplication-Length of a Vector; A.4 The Trace of a Matrix; A.5 Special Matrices; A.6 The Inverse of a Matrix; A.7 Determinants; A.8 Partitioned Matrices; A.9 Expected Values; References; Author Index; Subject Index.
■520 ▼aFactor 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 proce.
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