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  • Structural Equation Modelingby Sik-Yum Lee

    John Wiley & Sons, Ltd. 2007; US$ 130.00

    ***Winner of the 2008 Ziegel Prize for outstanding new book of the year*** Structural equation modeling (SEM) is a powerful multivariate method allowing the evaluation of a series of simultaneous hypotheses about the impacts of latent and manifest variables on other variables, taking measurement errors into account. As SEMs have grown in popularity in recent years, new models and statistical methods have been developed for more accurate analysis of more complex data. A Bayesian approach to SEMs allows the use of prior information resulting in improved parameter estimates, latent variable estimates, and statistics for model comparison, as well as offering more reliable results for smaller samples. Structural Equation Modeling introduces... more...

  • A First Course in Structural Equation Modelingby Tenko Raykov

    Lawrence Erlbaum Associates 2006; US$ 180.00

    The book is ideal for individuals interested in learning the basics about SEM, evaluating research that employs SEM, and perhaps even performing SEM in subsequent research? more...

  • Introduction to Structural Equation Modelling Using SPSS and Amosby Niels J. Blunch

    Sage Publications Ltd. 2008; US$ 48.00

    . Introduction to Structural Equation Modelling using SPSS and AMOS is a complete guide to carrying out your own structural equation modelling project. Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to structural equation modelling (SEM). Each chapter begins with learning objectives, and ends with a list of the new concepts introduced and questions to open up further discussion. Exercises for each chapter, incuding the necessary data, can be downloaded from the book's website. Helpful real life examples are included throughout, drawing from a wide range of disciplines including psychology, political science, marketing and health. Introduction to Structural Equation... more...

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