Overview

Hayduk is equally at ease explaining the simplest and most advanced applications of the program ...Hayduk has written more than just a solid text for use in advanced graduate courses on statistical modeling. Those with a firm mathematical background who wish to learn about the approach, or those who know a little about the program and want to know more, will find this an excellent reference.

Full Product Details

Author:   Leslie A. Hayduk
Publisher:   Johns Hopkins University Press
Imprint:   Johns Hopkins University Press
Dimensions:   Width: 15.60cm , Height: 2.60cm , Length: 23.50cm
Weight:   0.709kg
ISBN:  

9780801834783

ISBN 10:   0801834783
Pages:   425
Publication Date:   26 February 1988
Recommended Age:   From 17
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface Acknowledgments Chapter 1. Getting Started 1.1 Means, variances, and covariance 1.2 Thinking about covariances, variances, and means 1.3 Expectations and equations 1.4 Structural equation models Chapter 2. Traditional Basics 2.1 Fitting a line into a scatterplot 2.2 Regression in the context of Chapter 1 2.3 Multiple regression 2.4 Colinearity 2.5 Interaction 2.6 Nonlinearity Chapter 3. The New Basics 3.1 A touch of matrix algebra 3.2 Derivatives in a few easy pages Chapter 4. In the Beginning 4.1 A new way of thinking. latent versus measured variables in causal modes 4.2 LISREL is Greek to me! 4.3 A real model. smoking behavior and antismoking acts 4.4 A model implies a sigma () 4.5 Scaling and reliability 4.6 Restrictions on model specification Chapter 5. Estimating Structural Coefficients with Maximum Likelihood Estimation 5.1 Maximum likelihood estimation 5.2 Making approximate S 5.3 Identification and colinearity 5.4 On simplifying models 5.5 In closing Chapter 6. Hitting Paydirt 6.1 Chi-square 6.2 Residuals 6.3 Fitting better than the competition 6.4 Significance of structural coefficients 6.5 Partial derivatives and their uses 6.6 Standardized solutions Chapter 7. Becoming a LISRELITE. Some Tricks of the Trade and Learning to Play 7.1 Four simple replacements 7.2 Moving into and rethinking the distinction between exogenous/endogenous 7.3 Multiple indicators 7.4 Nonlinearity among the concepts 7.5 Interaction among the concepts Chapter 8. Interpreting It All 8.1 The Basics 8.2 General matrix formulas 8.3 Two extensions of effect decompositions 8.4 On developing equivalent models (effect recomposition) 8.5 Interpreting the smoking model with an inserted loop 8.6 Summary Chapter 9. More and Better 9.1 Stacked models for multiple groups 9.2 Modeling means Chapter 10. Odds and Endings 10.1 Old Beta 10.2 LISREL in SPSSX and pairwise matrices 10.3Some data-related issues 10.4 Locating what is wrong in a program 10.5 Alternative estimation strategies 10.6 A guide to the literature 10.7 The end Appendices Appendix A. Summation Notation Appendix B. LISREL Output for the Smoking Model Appendix C. LISREL Output with Multiple Indicators Appendix D. The Moment Matrix Fit Function Bibliography Index

Reviews

Hayduk is equally at ease explaining the simplest and most advanced applications of the program...Hayduk has written more than just a solid text for use in advanced graduate courses on statistical modeling. Those with a firm mathematical background who wish to learn about the approach, or those who know a little about the program and want to know more, will find this an excellent reference. --'American Journal of Sociology' This is a fine book for providing persons who have a basic knowledge of regression and matrix algebra with a detailed understanding of LISREL. It is strong on explanation, on clarity, and on breadth of coverage. --'Contemporary Psychology'

Author Information

Leslie A. Hayduk is professor in the Department of Sociology at the University of Alberta. He is the author of Structural Equation Modeling with LISREL, also available from Johns Hopkins.

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