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LISREL 8
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LISREL 8
Simple examples - Mullti-sample examples - Path diagrams - Fitting and testing - Lisrel output - Simplis reference - Computer exercises.
Multivariate Analysis with LISREL
This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the LISREL computer program. It presents not only the typical uses of LISREL, such as confirmatory factor analysis and structural equation models, but also several other multivariate analysis topics, including regression (univariate, multivariate, censored, logistic, and probit), generalized linear models, multilevel analysis, and principal component analysis. It provides numerous examples from several disciplines and discusses and interprets the results, illustrated with sections of output from the LISREL program, in the context of the example. The book is intended for masters and PhD students and researchers in the social, behavioral, economic and many other sciences who require a basic understanding of multivariate statistical theory and methods for their analysis of multivariate data. It can also be used as a textbook on various topics of multivariate statistical analysis.
Structural Equation Modeling with LISREL
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 more, will find this an excellent reference.
Causal Models in Experimental Designs
This is a companion volume to the Causal Models in the Social Sciences, the majority of articles concern panel designs involving repeated measurements while a smaller cluster involves discussions of how experimental designs may be improved by more explicit attention to causal models. All of the papers are concerned with complications that may occur in actual research designs--as compared with idealized ones that often become the basis of textbook discussions of design issues. In thinking about the revision of that volume, considerable literature has accumulated. As a result, this volume attempts to bridge the gap in time and substance to that earlier effort. Blalock examined articles that se...
From Orthography to Pedagogy
From Orthography to Pedagogy pays tribute to Richard L. Venezky's work and influence on reading, linguistics, and computer science. This book catalogs findings related to speech and language development, reading and spelling's role in infant speech development, and the present and future advances in the study and theory of speech and cognitive development. The editors focus on the role technology could play in development and advancement of literacy speech and reasoning. Topics include: *speech directed at infants; *speech perception; *cognitive development and spelling; *early reading instruction; *reading and comprehension; and *influences of modern technology and multi-media. Representing a history of study in the field, this book appeals to anyone working in the area of language development, as well as those in related fields such as linguistics and developmental psychology.
Cohort Analysis in Social Research
The existence of the present volume can be traced to methodological concerns about cohort analysis, all of which were evident throughout most of the social sciences by the late 1970s. For some social scientists, they became part of a broader discussion concerning the need for new analytical techniques for research based on longitudinal data. In 1976, the Social Science Research Council (SSRC), with funds from the National Institute of Education, established a Committee on the Methodology of Longitudinal Research. (The scholars who comprised this committee are listed at the front of this volume. ) As part of the efforts of this Committee, an interdisciplinary conference on cohort analysis was...
Advances in Factor Analysis and Structural Equation Models
Advances in factor analysis; Structural equation models; New model forgroup comparisons.
