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Latent Variable Models John C. Loehlin

Latent Variable Models By John C. Loehlin

Latent Variable Models by John C. Loehlin


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Summary

This text provides an introduction to a growing area in the social and behavioural sciences - the modelling of systems in which one or more variables are hypothesized, but not directly observed. It is intended to introduce these techniques to individuals with some knowledge of statistics.

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Latent Variable Models Summary

Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis by John C. Loehlin

This book provides an introduction to a rapidly-growing area in the social and behavioral sciences -- the modeling of systems in which one or more variables are hypothesized, but not directly observed. Providing a conceptually unified treatment of modeling of this type -- exploratory and confirmatory factor analysis, path analysis, and structural equation analysis -- it is intended to introduce these techniques to individuals who have had some exposure to statistical methods in general, but are beginners in this particular area. Using an inductive and informal approach, it emphasizes the use of path diagrams and a variety of concrete examples, and keeps the mathematics largely intuitive. Examples are drawn from a variety of fields, including psychometrics, sociology, psychology, education and behavior genetics. Although some introductory material is provided for LISREL, EQS, and CALIS, and for exploratory factor analysis programs in SAS, SPSS, and BMPD, the book is not closely tied to any one computer program or statistical package.

Table of Contents

Contents: Path Models in Factor, Path, and Structural Equation Analysis. Fitting Path Models. Varieties of Path and Structural Models-I. Varieties of Path and Structural Models-II. Exploratory Factor Analysis-I: Extracting the Factors. Exploratory Factor Analysis-II: Transforming the Factors to Simpler Structure. Elaborations and Extensions of Latent Variable Analysis. Appendices: Simple Matrix Operations. Derivation of Matrix Version of Path Equations. LISREL Matrices and Examples. Alpha and Canonical Factor Extraction-A Worked Example. Examples of Input for Factor Extraction by SPSS and SAS. Data Matrix for Thurstone's Box Problem. Table of Chi-Square. Noncentral Chi-Square for Estimating Power. Power of a Test of Poor Fit and Sample Sizes for Powers of .80. Answers to Exercises. References. Index.

Additional information

CIN0805810846VG
9780805810844
0805810846
Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis by John C. Loehlin
Used - Very Good
Paperback
Taylor & Francis Inc
19920201
304
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

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