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Interaction Effects In Multiple Regression


Interaction Effects In Multiple Regression
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Interaction Effects In Multiple Regression


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


Interaction Effects In Multiple Regression
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Author : James Jaccard
language : en
Publisher:
Release Date : 1991

Interaction Effects In Multiple Regression written by James Jaccard 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.




Lisrel Approaches To Interaction Effects In Multiple Regression


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 Factorial Analysis Of Variance


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.



Multiple Regression


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 Logistic Regression


Interaction Effects In Logistic Regression
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Author : James Jaccard
language : en
Publisher: SAGE Publications
Release Date : 2001-02-21

Interaction Effects In Logistic Regression written by James Jaccard and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-02-21 with Social Science categories.


Oriented toward the applied researcher with a basic background in multiple regression and logistic regression, this book shows readers the general strategies for testing interactions in logistic regression as well as providing the tools to interpret and understand the meaning of coefficients in equations with product terms. Using completely worked-out examples, the author focuses on the interpretation of the coefficients of interactive logistic models for a wide range of scenarios encountered in the research literature. In addition, the author avoids complex formulas in favor of simple computer-based heuristics that permit the simple calculation of parameter estimates and estimated standard errors that will typically be of interest to applied researchers.



Interaction Effects


Interaction Effects
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Author : James Jaccard
language : en
Publisher:
Release Date : 2020

Interaction Effects written by James Jaccard and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Anthropology categories.


Interaction effects refer to the case where the effect of one variable on another depends on the value of a third variable. In this entry, interaction modeling as focused on analysis of variance and multiple regression is introduced using traditional linear models. Interactions are conceptualized using a moderator framework in which the effect of an independent variable or predictor on a dependent or outcome variable is said to vary as a function of a moderator variable. Both two-way and three-way interactions are discussed. Examples are given for the case of all nominal predictors, a mixture of nominal and continuous predictors, and all continuous predictors.



Feature Engineering And Selection


Feature Engineering And Selection
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Author : Max Kuhn
language : en
Publisher: CRC Press
Release Date : 2019-07-25

Feature Engineering And Selection written by Max Kuhn and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-25 with Business & Economics categories.


The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.



Interaction Effects In Linear And Generalized Linear Models


Interaction Effects In Linear And Generalized Linear Models
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Author : Robert L. Kaufman
language : en
Publisher: SAGE Publications
Release Date : 2018-09-06

Interaction Effects In Linear And Generalized Linear Models written by Robert L. Kaufman and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-06 with Social Science categories.


Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects. The book develops the statistical basis for the general principles of interpretive tools and applies them to a variety of examples, introduces the ICALC Toolkit for Stata (downloadable from the Robert L. Kaufman’s website), and offers a series of start-to-finish application examples to show students how to interpret interaction effects for a variety of different techniques of analysis, beginning with OLS regression. The data sets and the Stata code to reproduce the results of the application examples are available online.



Multiple Regression In Practice


Multiple Regression In Practice
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Author : William Dale Berry
language : en
Publisher: SAGE
Release Date : 1985-05

Multiple Regression In Practice written by William Dale Berry and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985-05 with Mathematics categories.


The authors provide a systematic treatment of the major problems involved in using regression analysis. They clearly and concisely discuss the consequences of violating the assumptions of the regression model, procedures for detecting violations, and strategies for dealing with these problems.