{"product_id":"structural-equation-modeling-with-lisrel-essentials-and-advances-9780801834783","title":"Structural Equation Modeling with LISREL","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eHayduk 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\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePreface\u003cbr\u003eAcknowledgments\u003cbr\u003e\u003cb\u003eChapter 1. Getting Started\u003c\/b\u003e\u003cbr\u003e1.1 Means, variances, and covariance\u003cbr\u003e1.2 Thinking about covariances, variances, and means\u003cbr\u003e1.3 Expectations and equations\u003cbr\u003e1.4 Structural equation models\u003cbr\u003e\u003cb\u003eChapter 2. Traditional Basics\u003c\/b\u003e\u003cbr\u003e2.1 Fitting a line into a scatterplot\u003cbr\u003e2.2 Regression in the context of Chapter 1\u003cbr\u003e2.3 Multiple regression\u003cbr\u003e2.4 Colinearity\u003cbr\u003e2.5 Interaction\u003cbr\u003e2.6 Nonlinearity  \u003cbr\u003e\u003cb\u003eChapter 3. The New Basics\u003c\/b\u003e\u003cbr\u003e3.1 A touch of matrix algebra\u003cbr\u003e3.2 Derivatives in a few easy pages\u003cbr\u003e\u003cb\u003eChapter 4. In the Beginning\u003c\/b\u003e\u003cbr\u003e4.1 A new way of thinking. latent versus measured variables in causal modes\u003cbr\u003e4.2 LISREL is Greek to me!\u003cbr\u003e4.3 A real model. smoking behavior and antismoking acts\u003cbr\u003e4.4 A model implies a sigma ()\u003cbr\u003e4.5 Scaling and reliability\u003cbr\u003e4.6 Restrictions on model specification\u003cbr\u003e\u003cb\u003eChapter 5. Estimating Structural Coefficients with Maximum Likelihood Estimation\u003c\/b\u003e\u003cbr\u003e5.1 Maximum likelihood estimation\u003cbr\u003e5.2 Making  approximate S\u003cbr\u003e5.3 Identification and colinearity\u003cbr\u003e5.4 On simplifying models\u003cbr\u003e5.5 In closing\u003cbr\u003e\u003cb\u003eChapter 6. Hitting Paydirt\u003c\/b\u003e\u003cbr\u003e6.1 Chi-square\u003cbr\u003e6.2 Residuals\u003cbr\u003e6.3 Fitting better than the competition\u003cbr\u003e6.4 Significance of structural coefficients\u003cbr\u003e6.5 Partial derivatives and their uses\u003cbr\u003e6.6 Standardized solutions\u003cbr\u003e\u003cb\u003eChapter 7. Becoming a LISRELITE. Some Tricks of the Trade and Learning to Play\u003c\/b\u003e\u003cbr\u003e7.1 Four simple replacements\u003cbr\u003e7.2 Moving  into  and rethinking the distinction between exogenous\/endogenous\u003cbr\u003e7.3 Multiple indicators\u003cbr\u003e7.4 Nonlinearity among the concepts\u003cbr\u003e7.5 Interaction among the concepts\u003cbr\u003e\u003cb\u003eChapter 8. Interpreting It All\u003c\/b\u003e\u003cbr\u003e8.1 The Basics\u003cbr\u003e8.2 General matrix formulas\u003cbr\u003e8.3 Two extensions of effect decompositions\u003cbr\u003e8.4 On developing equivalent models (effect recomposition)\u003cbr\u003e8.5 Interpreting the smoking model with an inserted loop\u003cbr\u003e8.6 Summary\u003cbr\u003e\u003cb\u003eChapter 9. More and Better\u003c\/b\u003e\u003cbr\u003e9.1 Stacked models for multiple groups\u003cbr\u003e9.2 Modeling means\u003cbr\u003e\u003cb\u003eChapter 10. Odds and Endings\u003c\/b\u003e\u003cbr\u003e10.1 Old Beta\u003cbr\u003e10.2 LISREL in SPSSX and pairwise matrices\u003cbr\u003e10.3Some data-related issues   \u003cbr\u003e10.4 Locating what is wrong in a program\u003cbr\u003e10.5 Alternative estimation strategies\u003cbr\u003e10.6 A guide to the literature\u003cbr\u003e10.7 The end \u003cbr\u003e\u003ci\u003eAppendices\u003c\/i\u003e\u003cbr\u003eAppendix A. Summation Notation\u003cbr\u003eAppendix B. LISREL Output for the Smoking Model\u003cbr\u003eAppendix C. LISREL Output with Multiple Indicators\u003cbr\u003eAppendix D. The Moment Matrix Fit Function\u003cbr\u003e\u003ci\u003eBibliography\u003c\/i\u003e\u003cbr\u003e\u003ci\u003eIndex\u003c\/i\u003e\u003c\/p\u003e","brand":"Johns Hopkins University Press","offers":[{"title":"Default Title","offer_id":49405182771543,"sku":"9780801834783","price":54.4,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780801834783.jpg?v=1730489015","url":"https:\/\/bookcurl.com\/products\/structural-equation-modeling-with-lisrel-essentials-and-advances-9780801834783","provider":"Book Curl","version":"1.0","type":"link"}