Lisrel Approaches To Interaction Effects In Multiple Regression
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Lisrel Approaches To Interaction Effects In Multiple Regression
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Author : James Jaccard
language : en
Publisher: SAGE
Release Date : 1996-03-21
Lisrel Approaches To Interaction Effects In Multiple Regression written by James Jaccard and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-03-21 with Mathematics categories.
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.
Interaction Effects In Multiple Regression
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Author : James Jaccard
language : en
Publisher: SAGE
Release Date : 2003-03-05
Interaction Effects In Multiple Regression written by James Jaccard and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-03-05 with Mathematics categories.
This is a practical introduction to conducting analyses of interaction effects in the context of multiple regression. This new edition expands coverage on the analysis of three-way interactions in multiple regression analysis.
Interaction Effects In Multiple Regression
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Author :
language : en
Publisher:
Release Date : 1991
Interaction Effects In Multiple Regression written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
Applying Regression And Correlation
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Author : Jeremy Miles
language : en
Publisher: SAGE
Release Date : 2000-11-24
Applying Regression And Correlation written by Jeremy Miles and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-11-24 with Social Science categories.
This book takes a fresh look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach. The authors start with the basics and begin by re-visiting the mean, and the standard deviation, with which most readers will already be familiar, and show that they can be thought of a least squares model. The book then shows that this least squares model is actually a special case of a regression analysis and can be extended to deal with first one, and then more than one independent variable. Extending the model from the mean to a regression analysis provides a powerful, but simple, way of thinking about what students believe are the more complex aspects of regression analysis. The authors gradually extend the model to include aspects of regression analysis such as non-linear regression, logistic regression, and moderator and mediator analysis. These approaches are often presented in terms that are too mathematical for non-statistically inclined students to deal with. Throughout the book maintains a conceptual, non-mathematical focus. Most equations are placed in an appendix, where a detailed explanation is given, to avoid disrupting the flow of the main text. This book will be indispensable for anyone using regression and correlation from undergraduates doing projects to postgraduate and researchers.
Interaction And Nonlinear Effects In Structural Equation Modeling
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Author : Randall E. Schumacker
language : en
Publisher: Routledge
Release Date : 2017-07-05
Interaction And Nonlinear Effects In Structural Equation Modeling written by Randall E. Schumacker and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-05 with Psychology categories.
This volume provides a comprehensive presentation of the various procedures currently available for testing interaction and nonlinear effects in structural equation modeling. By focusing on various software applications, the reader should quickly be able to incorporate one of the procedures into testing interaction or nonlinear effects in their own model. Although every attempt is made to keep mathematical details to a minimum, it is assumed that the reader has mastered the equivalent of a graduate-level multivariate statistics course which includes adequate coverage of structural equation modeling. This book will be of interest to researchers and practitioners in education and the social sciences.
Multiple Regression
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Author : Leona S. Aiken
language : en
Publisher: SAGE
Release Date : 1991
Multiple Regression written by Leona S. Aiken and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Business & Economics categories.
This successful book, now available in paperback, provides academics and researchers with a clear set of prescriptions for estimating, testing and probing interactions in regression models. Including the latest research in the area, such as Fuller's work on the corrected/constrained estimator, the book is appropriate for anyone who uses multiple regression to estimate models, or for those enrolled in courses on multivariate statistics.
Interaction Effects In Factorial Analysis Of Variance
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Author : James Jaccard
language : en
Publisher: SAGE
Release Date : 1998
Interaction Effects In Factorial Analysis Of Variance written by James Jaccard and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Mathematics categories.
Although factorial analysis is widely used in the social sciences, there is some confusion as to how to use the techniqueÆs most powerful featureùthe evaluation of interaction effects. Written to remedy this situation, author James Jaccard clearly describes the issues underlying the effective analysis of interaction in factorial designs. The book begins by describing different ways of characterizing interactions in ANOVA, elucidating both moderator conceptualizations of interactions as well as that of residualized means. After discussing interaction effects using traditional hypothesis testing approaches, he then covers alternative analytic frameworks that focus on effect size methodology and interval estimation. Jaccard summarizes criticisms of classical null hypothesis testing and offers practical guidelines for pursuing magnitude estimation and interval estimation approaches. In addition, Jaccard shows applications of all three approaches to the analysis of interactions using a complete numerical example; discusses strategies for effectively exploring interactions in higher order designs and designs with more than two levels per factor; highlights the central role of single degree of freedom contrasts and provides numerous illustrations for formulating such contrasts; considers simplified approaches to statistical power analysis; describes approaches to consider when statistical assumptions are not met; explicates the case of unequal sample sizes; considers the impact of measurement error; and demonstrates computer applications. Readers who have wanted a book that fully discusses different conceptualizations of interactions as well as one that provides practical guidelines for analyzing complex interactions will find this volume the one that they have been seeking.
Differential Item Functioning
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Author : Steven J. Osterlind
language : en
Publisher: SAGE Publications
Release Date : 2009-09-30
Differential Item Functioning written by Steven J. Osterlind and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-30 with Social Science categories.
This new edition presents an up-to-date description of differential item functioning. It describes varying procedures for addressing DIF in practical testing contexts. The authors present useful examples and studies of DIF that readers may employ as a guide in their own work. They also cover major statistical packages that can be employed in DIF analysis (e.g., SPSS, SAS, M+, Minitab, and Systat). This text is ideal for the measurement professional or advanced student who deals with educational or psychological assessment.
Nonrecursive Models
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Author : Pamela Paxton
language : en
Publisher: SAGE Publications
Release Date : 2011-03-08
Nonrecursive Models written by Pamela Paxton and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-08 with Social Science categories.
Nonrecursive Models provides explicit guidance to researchers on the estimation and assessment of nonrecursive simultaneous equation models in a clear, condensed and precise form. It guides readers through the specification and identification of simultaneous equation models, how to assess the quality of the estimates, and how to correctly interpret results.
The Association Graph And The Multigraph For Loglinear Models
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Author : Harry J. Khamis
language : en
Publisher: SAGE Publications
Release Date : 2011-01-12
The Association Graph And The Multigraph For Loglinear Models written by Harry J. Khamis and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-12 with Mathematics categories.
The Association Graph and the Multigraph for Loglinear Models will help students, particularly those studying the analysis of categorical data, to develop the ability to evaluate and unravel even the most complex loglinear models without heavy calculations or statistical software. This supplemental text reviews loglinear models, explains the association graph, and introduces the multigraph to students who may have little prior experience of graphical techniques, but have some familiarity with categorical variable modeling. The author presents logical step-by-step techniques from the point of view of the practitioner, focusing on how the technique is applied to contingency table data and how the results are interpreted.