A modern, comprehensive treatment of latent class and latent transition analysis for categorical data On a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered empirical data with the goal of making significant advances in these fields. In many cases, it can be useful to identify latent, or unobserved, subgroups in a population, where individuals' subgroup membership is inferred from their responses on a set of observed variables. Latent Class and Latent Transition Analysis provides a comprehensive and unified introduction to this topic through one-of-a-kind, step-by-step presentations and coverage of theoretical, technical, and practical issues in categorical latent variable modeling for both cross-sectional and longitudinal data. The book begins with an introduction to latent class and latent transition analysis for categorical data. Subsequent chapters delve into more in-depth material, featuring: A complete treatment of longitudinal latent class models Focused coverage of the conceptual underpinnings of interpretation and evaluationof a latent class solution Use of parameter restrictions and detection of identification problems Advanced topics such as multi-group analysis and the modeling and interpretation of interactions between covariates The authors present the topic in a style that is accessible yet rigorous. Each method is presented with both a theoretical background and the practical information that is useful for any data analyst. Empirical examples showcase the real-world applications of the discussed concepts and models, and each chapter concludes with a «Points to Remember» section that contains a brief summary of key ideas. All of the analyses in the book are performed using Proc LCA and Proc LTA, the authors' own software packages that can be run within the SAS® environment. A related Web site houses information on these freely available programs and the book's data sets, encouraging readers to reproduce the analyses and also try their own variations. Latent Class and Latent Transition Analysis is an excellent book for courses on categorical data analysis and latent variable models at the upper-undergraduate and graduate levels. It is also a valuable resource for researchers and practitioners in the social, behavioral, and health sciences who conduct latent class and latent transition analysis in their everyday work.
Praise for The Financial Numbers Game «So much for the notion 'those who can, do-those who can't, teach.' Mulford and Comiskey function successfully both as college professors and real-world financial mercenaries. These guys know their balance sheets. The Financial Numbers Game should serve as a survival manual for both serious individual investors and industry pros who study and act upon the interpretation of financial statements. This unique blend of battle-earned scholarship and quality writing is a must-read/must-have reference for serious financial statement analysis.» -Bob Acker, Editor/Publisher, The Acker Letter «Wall Street's unforgiving attention to quarterly earnings presents ever-increasing pressure on CFOs to manage earnings and expectations. The Financial Numbers Game provides a clear explanation of the ways in which management can stretch, bend, and break accounting rules to reach the desired bottom line. This arms the serious investor or financial analyst with the healthy skepticism required to drive beyond reported results to a clear understanding of a firm's true performance.» -Mark Hurley, Managing Director, Training and Development Global Corporate and Investment Banking, Bank of America «After reading The Financial Numbers Game, I feel as though I've taken a master's course in financial statement analysis. Mulford and Comiskey's latest book should be required reading for anyone who is serious about fundamentally analyzing stocks.» -Harry Domash, Investing Columnist, San Francisco Chronicle and Publisher, Winning Investing The Financial Numbers Game identifies the steps businesses may take to misstate financial performance and helps its readers to identify those situations where reported results may not be what they seem.
Divided into three comprehensive parts, Trade to Win explains the fundamental elements of author Thomas Busby's proven trading approach–which deals with the significance and use of time, key numbers, and market indicators. Along the way, you'll find strategies for trading stocks, options, futures, and other financial products, and go beyond the numbers to learn about a few of the often overlooked aspects of trading–including risk management, money management, and the impact of emotions on your trading.