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▼a 907115450
▼a 948601004
▼a 9781317768760
▼q (electronic bk.)
▼a 1317768760
▼q (electronic bk.)
▼a (OCoLC)868490501
▼z (OCoLC)907115450
▼z (OCoLC)948601004
▼a EBLCP
▼b eng
▼c EBLCP
▼d N$T
▼d HEBIS
▼d OCLCQ
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▼d YDXCP
▼d 248023
▼d OCLCQ
▼e pn
▼a HA29 .M4385 2014
▼a 519.9
▼a McDonald, Roderick P.
▼a Factor Analysis and Related Methods
▼h [electronic resource].
▼a Hoboken:
▼b Taylor and Francis,
▼c 2014.
▼a 1 online resource (476 pages).
▼a text
▼b txt
▼2 rdacontent
▼a computer
▼b c
▼2 rdamedia
▼a online resource
▼b cr
▼2 rdacarrier
▼a Cover; 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.
▼a 3. 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.
▼a 6. 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.
▼a 8.7 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.
▼a 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 proce.
▼a Print version record.
▼a Social sciences
▼x Statistical methods.
▼a Factor analysis.
▼i Print version:
▼a McDonald, Roderick P.
▼t Factor Analysis and Related Methods.
▼d Hoboken : Taylor and Francis, ©2014,
▼z 9780898593884
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=686918
▼a 강리원
▼b 강리원
▼a eBook
| 자료유형 : | eBook |
|---|---|
| ISBN : | 9781317768760 |
| ISBN : | 1317768760 |
| 개인저자 : | McDonald, Roderick P. |
| 서명/저자사항 : | Factor Analysis and Related Methods [electronic resource]. |
| 발행사항 : | Hoboken: Taylor and Francis, 2014. |
| 형태사항 : | 1 online resource (476 pages). |
| 내용주기 : | Cover; 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. |
| 내용주기 : | 3. 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. |
| 내용주기 : | 6. 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. |
| 내용주기 : | 8.7 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. |
| 요약 : | 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 proce. |
| 일반주제명 : | Social sciences -- Statistical methods. -- |
| 일반주제명 : | Factor analysis. -- |
| 기타형태 저록 : | Print version: McDonald, Roderick P. Factor Analysis and Related Methods. Hoboken : Taylor and Francis, ©2014, 9780898593884 |
| 언어 | 영어 |
| URL : |
|---|
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