求：Structural Equations With Latent Variables

~ Kenneth A. Bollen (作者)

• 出版社: Wiley-Interscience; 1 (1989年5月12日)
• 丛书名: Wiley Series in Probability and Statistics
• 精装: 514页
• 语种： 英语
• ISBN: 0471011711
• 条形码: 9780471011712
  

论坛中已经有了https://bbs.pinggu.org/thread-336296-1-1.html

太贵啦 lz都不理的啊

I've taken a class in Structural Equations Modelling from Ken Bollen at UNC Chapel Hill. Naturally the book was the main reference for the course, so I went over most of it during the semester. The coverage in classes differed from the book material due to the recent developments, and my impression was that Prof. Bollen planned on writing a second edition of the book (although he is not quite happy about the pricing strategy of Wiley). For many things marked as "currently open problem" in the book, the solution, at least a partial one, have been found in the last 15 years of research in this dynamically developing area. The book is still a compendium of important basic results, and will be one for at least another 5 to 10 years, until another modern and rigorous treatment appears in press; so far this is the best reference I've seen.

huangpen 的帖子中用51个论坛币骗人！只提供39页，没完整内容，太骗人了！希望版主删除此贴，并把它踢出论坛！

Analysis of Ordinal Categorical Data Alan Agresti Statistical Science Now has its first coordinated manual of methods for analyzing ordered categorical data. This book discusses specialized models that, unlike standard methods underlying nominal categorical data, efficiently use the information on ordering. It begins with an introduction to basic descriptive and inferential methods for categorical data, and then gives thorough coverage of the most current developments, such as loglinear and logit models for ordinal data. Special emphasis is placed on interpretation and application of methods and contains an integrated comparison of the available strategies for analyzing ordinal data. This is a case study work with illuminating examples taken from across the wide spectrum of ordinal categorical applications. 1984 (0 471-89055-3) 287 pp. Regression Diagnostics Identifying Influential Data and Sources of Collinearity David A. Belsley, Edwin Kuh and Roy E. Welsch This book provides the practicing statistician and econometrician with new tools for assessing the quality and reliability of regression estimates. Diagnostic techniques are developed that aid in the systematic location of data points that are either unusual or inordinately influential; measure the presence and intensity of collinear relations among the regression data and help to identify the variables involved in each; and pinpoint the estimated coefficients that are potentially most adversely affected. The primary emphasis of these contributions is on diagnostics, but suggestions for remedial action are given and illustrated. 1980 (0 471-05856-4) 292 pp. Applied Regression Analysis Second Edition Norman Draper and Harry Smith Featuring a significant expansion of material reflecting recent advances, here is a complete and up-to-date introduction to the fundamentals of regression analysis, focusing on understanding the latest concepts and applications of these methods. The authors thoroughly explore the fitting and checking of both linear and nonlinear regression models, using small or large data sets and pocket or high-speed computing equipment. Features added to this Second Edition include the practical implications of linear regression; the Durbin-Watson test for serial correlation; families of transformations; inverse, ridge, latent root and robust regression; and nonlinear growth models. Includes many new exercises and worked examples.

This gi-normous tome is a beauty. It's wonderful to have design, measurement, and analysis cross-referenced within the same book. Yes, as the one low rating reviewer argues, Pedhazur and Schmelkin are rather cranky and critical, but I find their remarks go along way toward anchoring social science research in the broader landscape of formal research generally, and in the history of educational/psychological research specifically. The authors spend a good bit of text locating practices in tradition and context, and identifying changes in the practice of social science research. I find my own doctoral students benefit from as much sense of research as a professional endeavor as I can provide them. Thus, I don't have a problem with passages such as this: "The notion that the royal road to Truth, to discovery of the Laws of Nature, is through The Scientific method has until recently been part of the vision of scientific inquiry, as is exemplified by Pearson's (1911) assertion: 'There is no short cut to truth, no way to gain a knowledge of the universe except through the gateway of scientific method.' ... Nothing is, of course, further from the truth."

On the other hand, I really think it's important for the instructor to be an active mediator between student and text in the case.