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This book has been replaced by Principles and Practice of Structural Equation Modeling, Fifth Edition, ISBN 978-1-4625-5191-0.
This popular text provides an accessible guide to the application, interpretation, and pitfalls of structural equation modeling (SEM). Reviewed are fundamental statistical concepts--such as correlation, regressions, data preparation and screening, path analysis, and confirmatory factor analysis--as well as more advanced methods, including the evaluation of nonlinear effects, measurement models and structural regression models, latent growth models, and multilevel SEM. The companion Web page offers data and program syntax files for many of the research examples, electronic overheads that can be downloaded and printed by instructors or students, and links to SEM-related resources.
This bestselling text provides a balance between the technical and practical aspects of structural equation modeling (SEM). Using clear and accessible language, Rex B. Kline covers core techniques, potential pitfalls, and applications across the behavioral and social sciences. Some more advanced topics are also covered, including estimation of interactive effects of latent variables and multilevel SEM. The companion Web page offers downloadable syntax, data, and output files for each detailed example for EQS, LISREL, and Mplus, allowing readers to view the results of the same analysis generated by three different computer tools. New to This Edition*Thoroughly revised and restructured to follow the phases of most SEM analyses.*Syntax, data, and output files for all detailed research examples are now provided online.*Chapter on computer tools.*Exercises with answers, which support self-study.*Topic boxes on specialized issues, such as dealing with problems in the analysis; the assessment of construct measurement reliability; and more.*Updated coverage of a more rigorous approach to hypothesis and model testing; the evaluation of measurement invariance; and more. *”Troublesome” examples have been added to provide a context for discussing how to handle various problems that can crop up in SEM analyses.
This book ist intended to serve as a guide to the priciples, assumptions, strenghts, limitations, and applications of structural equation modeling (SEM) for researchers and students who do not have extensive quantitative backgrounds. Some familiarity with basic concepts such as correlation is assumed, but higher levels of statistical knowledge are not requiered. Accordingly, the presentation is conceptually rather than mathematically oriented, the use of formulas and symbols is kept to a minimum, and many examples are offered of the application of SEM to a wide variety of research problems in psychology, education, and health sciences, among other areas. This book also has a home page on the Internet (www.guilford.com --> Kline).
Traditional education in statistics that emphasises significance testing leaves researchers and students ill prepared to understand what their results really mean. Specifically, most researchers and students who do not have strong quantitative backgrounds have difficulty understanding outcomes of statistical tests. As more and more people become aware of this problem, the emphasis on statistical significance in the reporting of results is declining. Increasingly, researchers are expected to describe the magnitudes and precisions of their findings and also their practical, theoretical, or clinical significance. This accessibly written book reviews the controversy about significance testing, which has now crossed various disciplines as diverse as psychology, ecology, commerce, education, and biology, among others. It also introduces readers to alternative methods, especially effect size estimation (at both the group and case levels) and interval estimation (confidence intervals) in comparative studies. Basics of bootstrapping and Bayesian estimation are also considered. Research examples from substance abuse, education, learning, and other areas illustrate how to apply these methods. A companion website promotes learning by providing chapter exercises and sample answers, downloadable raw data files for many research examples, and links to other useful websites. New to this edition is coverage of robust statistical methods for parameter estimation, effect size estimation, and interval estimation. A new chapter covers the logic and illogic of significance testing. This edition also addresses recent developments such as the new requirements of some journals for the reporting of effect sizes.
Annotation "The book is intended for applied researchers and students who may not have quantitative backgrounds. Readers will learn how to measure effect size on continuous or dichotomous outcomes in comparative studies with independent or dependent samples. They will also learn how to calculate and correctly interpret confidence intervals for effect sizes. Numerous research examples from a wide range of areas illustrate how to apply these principles and how to estimate substantive significance instead of just statistical significance. Additional alternatives to statistical tests are described, including meta-analysis, resampling techniques like bootstrapping, and Bayesian estimation."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved.
A 24-year-old woman is referred from the emergency department with sudden onset of left iliac fossa pain and you are the medic on duty...100 Cases in Obstetrics and Gynaecology presents 100 commonly seen obstetric and gynaecological scenarios. The patient's history, examination and initial investigations are presented along with questions on the di
Advertising Creative is the first “postdigital” creative strategy and copywriting textbook in which digital technology is woven throughout every chapter. The book gets right to the point of advertising by stressing key principles and practical information students and working professionals can use to communicate effectively in this postdigital age. Drawing on personal experience as award-winning experts in creative advertising, Tom Altstiel and Jean Grow offer real-world insights on cutting-edge topics, including global, social media, business-to-business, in-house, and small agency advertising. In this Fourth Edition, Altstiel and Grow take a deeper dive into the exploration of digital technology and its implications for the industry, as they expose the pervasive changes experienced across the global advertising landscape. Their most important revelation of all is the identification of the three qualities that will define the future leaders of this industry: Be a risk taker. Understand technology. Live for ideas.
Biology: An Australian focus reflects on worldwide biological research and knowledge to provide a global outlook with Australian examples and cases woven throughout. Students are able to connect with what they're learning and better understand Australian flora/fauna and most importantly ecology & ecosystems, using this accessible and engaging learning resource. The rich pedagogical layout layout of this text adds to the accessibility of the Biology: An Australian focus learning package. As well as Concept Checks to provide students with the essential takeaway points for each section and help with exam revision, this edition also includes; Self-Assessment and Review and Analysis to test the students' understanding; Evaluation and Application to develop and test critical evaluation skills; and boxed case studies separated into Research, Application, Hot Topics and Focus features, to delve deeper into topics. Biology: An Australian focus offers a complete learning package for all Australian biology students.
