Popular in its first edition for its rich, illustrative examples and lucid explanations of the theory and use of hierarchical linear models (HLM), the book has been updated to include: an intuitive introductory summary of the basic procedures for estimation and inference used with HLM models that only requires a minimal level of mathematical ......
Event history analysis has been a useful method in the social sciences for studying the processes of social change. However, a main difficulty in using this technique is to observe all relevant explanatory variables without missing any variables. This book presents a general approach to missing data problems in event history analysis which is ......
LISREL: Issues, Debates, and Strategies examines issues of concern to researchers already familiar with the basics of structural equation modeling. Building on his earlier work in Structural Equation Modeling in LISREL, Leslie Hayduk explains procedures that maximize researchers' control over the meanings of their concepts and integrates the ......
''The book is indeed a classic. Virtually every philosopher of science now writing about probabilistic inference has been influenced by Edwards' book, and his ideas are now as alive and relevant as they were when the book first appeared. Edwards is an absolutely seminal thinker in the foundations of statistics and scientific inference.''--Elliott ......
Hayduk is equally at ease explaining the simplest and most advanced applications of the program ...Hayduk has written more than just a solid text for use in advanced graduate courses on statistical modeling. Those with a firm mathematical background who wish to learn about the approach, or those who know a little about the program and want to know ......
Berry and Feldman provide a systematic treatment of many of the major problems encountered in using regression analysis. The authors discuss: the consequences of violating the assumptions of the regression model; procedures for detecting when such violations occur; and strategies for dealing with these problems when they arise. The monograph was written without the use of matrix algebra, and numerous examples are provided from political science, sociology, and economics.
Although clustering -- the classifying of objects into meaningful sets -- is an important procedure, cluster analysis as a multivariate statistical procedure is poorly understood. This volume is an introduction to cluster analysis for professionals, as well as for advanced undergraduate and graduate students with little or no background in the subject. Reaching across disciplines, Aldenderfer and Blashfield pull together the newest information on cluster analysis -- providing the reader with a pragmatic guide to its current uses, statistical techniques, validation methods, and compatible software programmes.
Interpreting and Using Regression sets out the actual procedures researchers employ, places them in the framework of statistical theory, and shows how good research takes account both of statistical theory and real world demands. Achen builds a working philosophy of regression that goes well beyond the abstract, unrealistic treatment given in previous texts.
