Review of Testing Structural Equation Models (SAGE Focus Editions) (Paperback)

A very important work in the recent development of structural equationmodeling.You can find these articles published in Sociological Methodsand Research, but the text is not identical--and some of the material inthis volume is really essential.

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"This book is a valuable adjunct to the extant literature on specification, estimation, and identification. My overall impression is that this volume is indispensable for those wishing to keep current with this fast-moving field. I recommend that this book be used as a supplementary text in a graduate-level course in structural equation modeling. This book . . . provides students with the necessary literature for a broad understanding of structural equation modeling."--Structural Equation Modeling"This book is worth its weight in gold! Drawing on the expertise of key researchers in the field, Bollen and Long provide readers with a comprehensive review of the critical issues, as well as innovative approaches that address these issues in the fitting, estimating, and testing of structural equation models. The book is an absolute 'must' for all researchers interested in conducting sound structural equation modeling applications."--Barbara M. Byrne, Department of Psychology,University of Ottawa, Ontario"This collection of papers, so nicely written for and edited by Professors Bollen and Long, presents the 'state of the art' in significance testing and goodness-of-fit indices for structural equation models. The coverage of topics is almost as impressive as the set of authors--nearly all the methodological leaders in this important and quite active research area have helped make this volume an immediate classic. It should be used as a text in graduate-level courses on structural equation models to augment the standard textbooks. The editors are to be praised for lending their own expertise and for taking the time to put this excellent collection together."--Stanley Wasserman, Departments of Psychology and Statistics,University of Illinois, Urbana-ChampaignWhat is the role of fit measures when respecifying a model? Should the means of the sampling distributions of a fit index be unrelated to the size of the sample? Is it better to estimate the statistical power of the chi-square test than to turn to fit indices? Aimed at exploring these and other related questions, this group of well-known scholars examines the methods of testing structural equation models (SEMS) with and without measurement error--as estimated by such programs as EQS, LISREL, and CALIS. Highly integrated and valuable, this book is a must for every researcher's shelf, particularly with coverage like: testing structural equation models, multifaceted conceptions of fit, Monte Carlo evaluations of goodness of fit indices, specification tests for the linear regression model, bootstrapping goodness of fit measures, bayesian model selection, alternative ways of assessing model fit, power evaluations, goodness of fit with categorical and other non-normal variables, new covariance structure model improvement statistics, and nonpositive definite matrices.

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Review of Sales Forecasting Management: A Demand Management Approach (Paperback)

This is an updated edition of Dr. Tom Mentzer's seminal work on the topic of sales forecasting.While Tom has kept the original material which clearly elucidates his groundbreaking approach to statistical forecasting, this edition includes updates on the topic of demand management and systems.This book is very well written and does a great job bringing an arcane subject to life.It serves as an excllent primer and is a great reference on topics related to demand management.Additional papers written by Tom Mentzer can be found at the Steelwedge website.

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Incorporating 25 years of sales forecasting management research with more than 400 companies, Sales Forecasting Management, Second Editionis the first text to truly integrate the theory and practice of sales forecasting management. This research includes the personal experiences of John T. Mentzer and Mark A. Moon in advising companies how to improve their sales forecasting management practices. Their program of research includes two major surveys of companies' sales forecasting practices, a two-year, in-depth study of sales forecasting management practices of 20 major companies, and an ongoing study of how to apply the findings from the two-year study to conducting sales forecasting audits of additional companies. The book provides comprehensive coverage of the techniques and applications of sales forecasting analysis, combined with a managerial focus to give managers and users of the sales forecasting function a clear understanding of the forecasting needs of all business functions.

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