Multivariate Analysis with LISREL

Multivariate Analysis with LISREL PDF Author: Karl G. Jöreskog
Publisher: Springer
ISBN: 3319331531
Category : Mathematics
Languages : en
Pages : 557

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Book Description
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.

Multivariate Analysis with LISREL

Multivariate Analysis with LISREL PDF Author: Karl G. Jöreskog
Publisher: Springer
ISBN: 3319331531
Category : Mathematics
Languages : en
Pages : 557

Get Book

Book Description
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, Prelis, and Simplis

Structural Equation Modeling With Lisrel, Prelis, and Simplis PDF Author: Barbara M. Byrne
Publisher: Psychology Press
ISBN: 1134809417
Category : Psychology
Languages : en
Pages : 442

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Book Description
This book illustrates the ease with which various features of LISREL 8 and PRELIS 2 can be implemented in addressing research questions that lend themselves to SEM. Its purpose is threefold: (a) to present a nonmathmatical introduction to basic concepts associated with SEM, (b) to demonstrate basic applications of SEM using both the DOS and Windows versions of LISREL 8, as well as both the LISREL and SIMPLIS lexicons, and (c) to highlight particular features of the LISREL 8 and PRELIS 2 progams that address important caveats related to SEM analyses. This book is intended neither as a text on the topic of SEM, nor as a comprehensive review of the many statistical funcitons available in the LISREL 8 and PRELIS 2 programs. Rather, the intent is to provide a practical guide to SEM using the LISREL approach. As such, the reader is "walked through" a diversity of SEM applications that include both factor analytic and full latent variable models, as well as a variety of data management procedures.

Basic Principles of Structural Equation Modeling

Basic Principles of Structural Equation Modeling PDF Author: Ralph O. Mueller
Publisher: Springer Science & Business Media
ISBN: 1461239745
Category : Social Science
Languages : en
Pages : 252

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Book Description
During the last two decades, structural equation modeling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Although its roots can be traced back to the first half of this century, when Spearman (1904) developed factor analysis and Wright (1934) introduced path analysis, it was not until the 1970s that the works by Karl Joreskog and his associates (e. g. , Joreskog, 1977; Joreskog and Van Thillo, 1973) began to make general SEM techniques accessible to the social and behavioral science research communities. Today, with the development and increasing avail ability of SEM computer programs, SEM has become a well-established and respected data analysis method, incorporating many of the traditional analysis techniques as special cases. State-of-the-art SEM software packages such as LISREL (Joreskog and Sorbom, 1993a,b) and EQS (Bentler, 1993; Bentler and Wu, 1993) handle a variety of ordinary least squares regression designs as well as complex structural equation models involving variables with arbitrary distributions. Unfortunately, many students and researchers hesitate to use SEM methods, perhaps due to the somewhat complex underlying statistical repre sentation and theory. In my opinion, social science students and researchers can benefit greatly from acquiring knowledge and skills in SEM since the methods-applied appropriately-can provide a bridge between the theo retical and empirical aspects of behavioral research.

Interactive LISREL in Practice

Interactive LISREL in Practice PDF Author: Armando Luis Vieira
Publisher: Springer Science & Business Media
ISBN: 3642180442
Category : Mathematics
Languages : en
Pages : 91

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Book Description
“Getting Started with a SIMPLIS Approach” is particularly appropriate for those users who are not experts in statistics, but have a basic understanding of multivariate analysis that would allow them to use this handbook as a good first foray into LISREL. Part I introduces the topic, presents the study that serves as the background for the explanation of matters, and provides the basis for Parts II and III, which, in turn, explain the process of estimation of the measurement model and the structural model, respectively. In each section, we also suggest essential literature to support the utilization of the handbook. After having read the book, readers will have acquired a basic knowledge of structural equation modeling, namely using the LISREL program, and will be prepared to continue with the learning process.

LISREL 8

LISREL 8 PDF Author: Karl G. Jöreskog
Publisher: Scientific Software International
ISBN: 9780894980336
Category : Mathematics
Languages : en
Pages : 260

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Book Description
Simple examples - Mullti-sample examples - Path diagrams - Fitting and testing - Lisrel output - Simplis reference - Computer exercises.

LISREL Approaches to Interaction Effects in Multiple Regression

LISREL Approaches to Interaction Effects in Multiple Regression PDF Author: James Jaccard
Publisher: SAGE
ISBN: 9780803971790
Category : Mathematics
Languages : en
Pages : 116

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Book Description
With detailed examples, this book demonstrates the use of the computer program LISREL and how it can be applied to the analysis of interactions in regression frameworks. The authors consider a wide range of applications including: qualitative moderator variables; longitudinal designs; and product term analysis. They describe different types of measurement error and then present a discussion of latent variable representations of measurement error which serves as the foundation for the analyses described in later chapters. Finally they offer a brief introduction to LISREL and show how it can be used to execute the analyses. Readers can use this book without any prior training in LISREL and will find it an excellent introduction to analytic methods that deal with the problem of measurement error in the analysis of interactions.

PRELIS 2 User's Reference Guide

PRELIS 2 User's Reference Guide PDF Author: K. G. Jöreskog
Publisher: Scientific Software International
ISBN: 9780894980411
Category : Analysis of variance
Languages : en
Pages : 256

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Book Description
Prelis procedures - General instructions for the problem rum - Prelis commands - Examples and exercises : Warnings and error messages - New features in Prelis 2 - Simulation with Prelis 2 and Prelis 8.

Multivariate Data Analysis with Readings

Multivariate Data Analysis with Readings PDF Author: Joseph F. Hair
Publisher: Macmillan College
ISBN:
Category : Mathematics
Languages : en
Pages : 568

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Book Description
Key terms what is muitivariate analysis, impact of computer revolution and multivariate analysis defined. Multiple regression analysis, multiple discriminant analysis and multivariate analysis of variance. Canonical correlation analysis, factor analysis, cluster analysis, muldidimensional scaling, canjoint analysis, structural equation modeling, a mathematical representation in LISREL, notation. Path analysis: a method of computing structural coefficients. Overall goodness-of Fit measures for structural equation modeling. Application of multivariate data analysis.

Interactive LISREL

Interactive LISREL PDF Author: Mathilda Du Toit
Publisher: Scientific Software International
ISBN: 9780894980442
Category : Science
Languages : en
Pages : 514

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Book Description
Overview of the interface - Prelis examples - Lisrel examples - Multilevel examples - Firm examples - New statistical features - Syntax.

Using LISREL for Structural Equation Modeling

Using LISREL for Structural Equation Modeling PDF Author: E. Kevin Kelloway
Publisher: SAGE
ISBN: 9780761906261
Category : Computers
Languages : en
Pages : 164

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Book Description
A highly readable introduction, Using LISREL for Structural Equation Modeling is for researchers and graduate students in the social sciences who want or need to use structural equation modeling techniques to answer substantive research questions. Author E. Kevin Kelloway provides an overview of structural equation modeling including the theory and logic of structural equation models (SEMs), assessing the "fit" of SEMs to the data, and implementation of SEMs in the LISREL environment. Specific applications of SEMs are considered, including confirmatory factor analysis, observed variable path analysis, and latent variable path analysis. A sample application including the source code, printout, and results section is presented for each type of analysis. Tricks of the trade for structural equation modeling are presented, including the use of single-indicator latent variable and reducing the cognitive complexity of models.